NC_pop_recent.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4bd62ed4",
   "metadata": {},
   "source": [
    "# **Updated population density of the LA city neighborhood councils.**\n",
    "    \n",
    "### Evaluates the populataion, area (in square miles) and population density of the 99 Neighborhood councils (NCs). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2c3c62e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import webbrowser\n",
    "from pyproj import Geod\n",
    "import geopandas as gpd\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8202ccc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TRACTCE20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>INTPTLAT20</th>\n",
       "      <th>INTPTLON20</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>101110</td>\n",
       "      <td>06037101110</td>\n",
       "      <td>+34.2594737</td>\n",
       "      <td>-118.2929869</td>\n",
       "      <td>POLYGON ((-118.30229 34.25870, -118.30091 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.30334 34.27371, -118.30330 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101220</td>\n",
       "      <td>06037101220</td>\n",
       "      <td>+34.2516083</td>\n",
       "      <td>-118.2816328</td>\n",
       "      <td>POLYGON ((-118.28592 34.25227, -118.28592 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>101221</td>\n",
       "      <td>06037101221</td>\n",
       "      <td>+34.2543290</td>\n",
       "      <td>-118.2925767</td>\n",
       "      <td>POLYGON ((-118.29945 34.25598, -118.29792 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>101222</td>\n",
       "      <td>06037101222</td>\n",
       "      <td>+34.2513519</td>\n",
       "      <td>-118.2885261</td>\n",
       "      <td>POLYGON ((-118.29434 34.25233, -118.29318 34.2...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  TRACTCE20      GEOID20   INTPTLAT20    INTPTLON20  \\\n",
       "0    101110  06037101110  +34.2594737  -118.2929869   \n",
       "1    101122  06037101122  +34.2677213  -118.2901465   \n",
       "2    101220  06037101220  +34.2516083  -118.2816328   \n",
       "3    101221  06037101221  +34.2543290  -118.2925767   \n",
       "4    101222  06037101222  +34.2513519  -118.2885261   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-118.30229 34.25870, -118.30091 34.2...  \n",
       "1  POLYGON ((-118.30334 34.27371, -118.30330 34.2...  \n",
       "2  POLYGON ((-118.28592 34.25227, -118.28592 34.2...  \n",
       "3  POLYGON ((-118.29945 34.25598, -118.29792 34.2...  \n",
       "4  POLYGON ((-118.29434 34.25233, -118.29318 34.2...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Path to the directory.\n",
    "DIR = pwd\n",
    "\n",
    "# Accessing the Census 2020 data. The geoemtry column in the shapely file- polygon geometry\n",
    "# includes a series of latitude and longitude coordinate pairs that encloses an area.\n",
    "census_2020 = gpd.read_file(\n",
    "    os.path.join(DIR, \"tl_2020_06037_tract20/tl_2020_06037_tract20.shp\")\n",
    ")\n",
    "\n",
    "# Subsetting the columns of interest.\n",
    "census_2020 = census_2020[\n",
    "    [\"TRACTCE20\", \"GEOID20\", \"INTPTLAT20\", \"INTPTLON20\", \"geometry\"]\n",
    "]\n",
    "census_2020.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9015d8a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>WADDRESS</th>\n",
       "      <th>DWEBSITE</th>\n",
       "      <th>DEMAIL</th>\n",
       "      <th>DPHONE</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>CERTIFIED</th>\n",
       "      <th>TOOLTIP</th>\n",
       "      <th>NLA_URL</th>\n",
       "      <th>SERVICE_RE</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>ARLETA NC</td>\n",
       "      <td>http://www.arletanc.org/</td>\n",
       "      <td>http://empowerla.org/ANC</td>\n",
       "      <td>ANC@EmpowerLA.org</td>\n",
       "      <td>213-978-1551</td>\n",
       "      <td>6</td>\n",
       "      <td>2002-10-22</td>\n",
       "      <td>ARLETA NC</td>\n",
       "      <td>navigatela/reports/nc_reports.cfm?id=6</td>\n",
       "      <td>REGION 1 - NORTH EAST VALLEY</td>\n",
       "      <td>POLYGON ((-118.44305 34.26328, -118.44303 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>ARROYO SECO NC</td>\n",
       "      <td>http://www.asnc.us/</td>\n",
       "      <td>http://empowerla.org/ASNC</td>\n",
       "      <td>ASNC@EmpowerLA.org</td>\n",
       "      <td>213-978-1551</td>\n",
       "      <td>42</td>\n",
       "      <td>2002-10-02</td>\n",
       "      <td>ARROYO SECO NC</td>\n",
       "      <td>navigatela/reports/nc_reports.cfm?id=42</td>\n",
       "      <td>REGION 8 - NORTH EAST LA</td>\n",
       "      <td>POLYGON ((-118.19567 34.08613, -118.19568 34.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>ARTS DISTRICT LITTLE TOKYO NC</td>\n",
       "      <td>http://www.hcncla.org/</td>\n",
       "      <td>http://empowerla.org/HCNC</td>\n",
       "      <td>HCNC@EmpowerLA.org</td>\n",
       "      <td>213-978-1551</td>\n",
       "      <td>46</td>\n",
       "      <td>2002-04-27</td>\n",
       "      <td>ARTS DISTRICT LITTLE TOKYO NC</td>\n",
       "      <td>navigatela/reports/nc_reports.cfm?id=46</td>\n",
       "      <td>REGION 6 - CENTRAL 2</td>\n",
       "      <td>POLYGON ((-118.23151 34.05348, -118.23141 34.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>http://www.atwatervillage.org/</td>\n",
       "      <td>http://empowerla.org/AVNC</td>\n",
       "      <td>AVNC@EmpowerLA.org</td>\n",
       "      <td>213-978-1551</td>\n",
       "      <td>37</td>\n",
       "      <td>2003-02-11</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>navigatela/reports/nc_reports.cfm?id=37</td>\n",
       "      <td>REGION 7 - EAST</td>\n",
       "      <td>POLYGON ((-118.25279 34.10833, -118.25292 34.1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>BEL AIR-BEVERLY CREST NC</td>\n",
       "      <td>http://babcnc.org/</td>\n",
       "      <td>http://empowerla.org/BABCNC</td>\n",
       "      <td>BABCNC@EmpowerLA.org</td>\n",
       "      <td>213-978-1551</td>\n",
       "      <td>64</td>\n",
       "      <td>2002-10-08</td>\n",
       "      <td>BEL AIR-BEVERLY CREST NC</td>\n",
       "      <td>navigatela/reports/nc_reports.cfm?id=64</td>\n",
       "      <td>REGION 11 - WEST LA</td>\n",
       "      <td>POLYGON ((-118.36574 34.09948, -118.36575 34.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OBJECTID                           NAME                        WADDRESS  \\\n",
       "0         1                      ARLETA NC        http://www.arletanc.org/   \n",
       "1         2                 ARROYO SECO NC             http://www.asnc.us/   \n",
       "2         3  ARTS DISTRICT LITTLE TOKYO NC          http://www.hcncla.org/   \n",
       "3         4             ATWATER VILLAGE NC  http://www.atwatervillage.org/   \n",
       "4         5       BEL AIR-BEVERLY CREST NC              http://babcnc.org/   \n",
       "\n",
       "                      DWEBSITE                DEMAIL        DPHONE  NC_ID  \\\n",
       "0     http://empowerla.org/ANC     ANC@EmpowerLA.org  213-978-1551      6   \n",
       "1    http://empowerla.org/ASNC    ASNC@EmpowerLA.org  213-978-1551     42   \n",
       "2    http://empowerla.org/HCNC    HCNC@EmpowerLA.org  213-978-1551     46   \n",
       "3    http://empowerla.org/AVNC    AVNC@EmpowerLA.org  213-978-1551     37   \n",
       "4  http://empowerla.org/BABCNC  BABCNC@EmpowerLA.org  213-978-1551     64   \n",
       "\n",
       "    CERTIFIED                        TOOLTIP  \\\n",
       "0  2002-10-22                      ARLETA NC   \n",
       "1  2002-10-02                 ARROYO SECO NC   \n",
       "2  2002-04-27  ARTS DISTRICT LITTLE TOKYO NC   \n",
       "3  2003-02-11             ATWATER VILLAGE NC   \n",
       "4  2002-10-08       BEL AIR-BEVERLY CREST NC   \n",
       "\n",
       "                                   NLA_URL                    SERVICE_RE  \\\n",
       "0   navigatela/reports/nc_reports.cfm?id=6  REGION 1 - NORTH EAST VALLEY   \n",
       "1  navigatela/reports/nc_reports.cfm?id=42      REGION 8 - NORTH EAST LA   \n",
       "2  navigatela/reports/nc_reports.cfm?id=46          REGION 6 - CENTRAL 2   \n",
       "3  navigatela/reports/nc_reports.cfm?id=37               REGION 7 - EAST   \n",
       "4  navigatela/reports/nc_reports.cfm?id=64           REGION 11 - WEST LA   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-118.44305 34.26328, -118.44303 34.2...  \n",
       "1  POLYGON ((-118.19567 34.08613, -118.19568 34.0...  \n",
       "2  POLYGON ((-118.23151 34.05348, -118.23141 34.0...  \n",
       "3  POLYGON ((-118.25279 34.10833, -118.25292 34.1...  \n",
       "4  POLYGON ((-118.36574 34.09948, -118.36575 34.0...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading the LA NC shape file.\n",
    "la_nc = gpd.read_file(\n",
    "    os.path.join(DIR, \"neighborhood_councils/neighborhood_councils.shp\")\n",
    ")\n",
    "la_nc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2ec3db6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>NAME</th>\n",
       "      <th>state</th>\n",
       "      <th>county</th>\n",
       "      <th>tract</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Census Tract 1997, Los Angeles County, California</td>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "      <td>199700</td>\n",
       "      <td>06037199700</td>\n",
       "      <td>3006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Census Tract 1998.01, Los Angeles County, Cali...</td>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "      <td>199801</td>\n",
       "      <td>06037199801</td>\n",
       "      <td>3618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Census Tract 1998.02, Los Angeles County, Cali...</td>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "      <td>199802</td>\n",
       "      <td>06037199802</td>\n",
       "      <td>2419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Census Tract 1999, Los Angeles County, California</td>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "      <td>199900</td>\n",
       "      <td>06037199900</td>\n",
       "      <td>2687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Census Tract 2011.10, Los Angeles County, Cali...</td>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "      <td>201110</td>\n",
       "      <td>06037201110</td>\n",
       "      <td>2203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                NAME  state  county   tract  \\\n",
       "0  Census Tract 1997, Los Angeles County, California      6      37  199700   \n",
       "1  Census Tract 1998.01, Los Angeles County, Cali...      6      37  199801   \n",
       "2  Census Tract 1998.02, Los Angeles County, Cali...      6      37  199802   \n",
       "3  Census Tract 1999, Los Angeles County, California      6      37  199900   \n",
       "4  Census Tract 2011.10, Los Angeles County, Cali...      6      37  201110   \n",
       "\n",
       "       GEOID20  population  \n",
       "0  06037199700        3006  \n",
       "1  06037199801        3618  \n",
       "2  06037199802        2419  \n",
       "3  06037199900        2687  \n",
       "4  06037201110        2203  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ACS demographics data.\n",
    "acs_demographics = pd.read_csv(os.path.join(DIR, \"acs_census_tract_la.csv\"))\n",
    "\n",
    "# Cleaning the GEO_ID column to be consistent with the GEOID20 coumn in census_2020 dataframe.\n",
    "acs_demographics[\"GEO_ID\"] = acs_demographics[\"GEO_ID\"].str.replace(\"1400000US\", \"\")\n",
    "\n",
    "# Rename GEO_ID as GEOID20.\n",
    "acs_demographics = acs_demographics.rename(\n",
    "    columns={\"GEO_ID\": \"GEOID20\", \"Total population\": \"population\"}\n",
    ")\n",
    "acs_demographics.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "80dce0b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows in census_nc:  2108\n"
     ]
    }
   ],
   "source": [
    "# Taking a subset of the acs_demographics dataframe.\n",
    "acs_demographics_subset = acs_demographics[[\"GEOID20\", \"population\"]]\n",
    "\n",
    "# Making sure that the crs- coordinate reference system for census_2020 is the same\n",
    "# as that of the la_nc using the to_crs() # method. This will allow the spatial\n",
    "# merging of both the geopandas dataframes.\n",
    "census_2020 = census_2020.to_crs(la_nc.crs)\n",
    "\n",
    "# Spatial overlap of the la_nc and census_2020 data.\n",
    "census_nc = gpd.overlay(census_2020, la_nc, how=\"intersection\")\n",
    "\n",
    "census_nc = census_nc[\n",
    "    [\"TRACTCE20\", \"GEOID20\", \"NAME\", \"NC_ID\", \"INTPTLAT20\", \"INTPTLON20\", \"geometry\"]\n",
    "]\n",
    "print(\"Number of rows in census_nc: \", census_nc.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "69cc3bcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TRACTCE20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>INTPTLAT20</th>\n",
       "      <th>INTPTLON20</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>101110</td>\n",
       "      <td>06037101110</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2594737</td>\n",
       "      <td>-118.2929869</td>\n",
       "      <td>POLYGON ((-118.30229 34.25870, -118.30091 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.30334 34.27371, -118.30330 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101220</td>\n",
       "      <td>06037101220</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2516083</td>\n",
       "      <td>-118.2816328</td>\n",
       "      <td>POLYGON ((-118.28592 34.25227, -118.28592 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>101221</td>\n",
       "      <td>06037101221</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2543290</td>\n",
       "      <td>-118.2925767</td>\n",
       "      <td>POLYGON ((-118.29945 34.25598, -118.29792 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>101222</td>\n",
       "      <td>06037101222</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2513519</td>\n",
       "      <td>-118.2885261</td>\n",
       "      <td>POLYGON ((-118.29434 34.25233, -118.29318 34.2...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  TRACTCE20      GEOID20                NAME  NC_ID   INTPTLAT20  \\\n",
       "0    101110  06037101110  SUNLAND-TUJUNGA NC     10  +34.2594737   \n",
       "1    101122  06037101122  SUNLAND-TUJUNGA NC     10  +34.2677213   \n",
       "2    101220  06037101220  SUNLAND-TUJUNGA NC     10  +34.2516083   \n",
       "3    101221  06037101221  SUNLAND-TUJUNGA NC     10  +34.2543290   \n",
       "4    101222  06037101222  SUNLAND-TUJUNGA NC     10  +34.2513519   \n",
       "\n",
       "     INTPTLON20                                           geometry  \n",
       "0  -118.2929869  POLYGON ((-118.30229 34.25870, -118.30091 34.2...  \n",
       "1  -118.2901465  POLYGON ((-118.30334 34.27371, -118.30330 34.2...  \n",
       "2  -118.2816328  POLYGON ((-118.28592 34.25227, -118.28592 34.2...  \n",
       "3  -118.2925767  POLYGON ((-118.29945 34.25598, -118.29792 34.2...  \n",
       "4  -118.2885261  POLYGON ((-118.29434 34.25233, -118.29318 34.2...  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let us take a look at the spatially merged data:\n",
    "census_nc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7e1952a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TRACTCE20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>INTPTLAT20</th>\n",
       "      <th>INTPTLON20</th>\n",
       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>101110</td>\n",
       "      <td>06037101110</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2594737</td>\n",
       "      <td>-118.2929869</td>\n",
       "      <td>POLYGON ((-118.30229 34.25870, -118.30091 34.2...</td>\n",
       "      <td>3923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.30334 34.27371, -118.30330 34.2...</td>\n",
       "      <td>4119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.29785 34.27778, -118.29783 34.2...</td>\n",
       "      <td>4119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>101220</td>\n",
       "      <td>06037101220</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2516083</td>\n",
       "      <td>-118.2816328</td>\n",
       "      <td>POLYGON ((-118.28592 34.25227, -118.28592 34.2...</td>\n",
       "      <td>3775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>101221</td>\n",
       "      <td>06037101221</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2543290</td>\n",
       "      <td>-118.2925767</td>\n",
       "      <td>POLYGON ((-118.29945 34.25598, -118.29792 34.2...</td>\n",
       "      <td>3787</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  TRACTCE20      GEOID20                         NAME  NC_ID   INTPTLAT20  \\\n",
       "0    101110  06037101110           SUNLAND-TUJUNGA NC     10  +34.2594737   \n",
       "1    101122  06037101122           SUNLAND-TUJUNGA NC     10  +34.2677213   \n",
       "2    101122  06037101122  FOOTHILL TRAILS DISTRICT NC      9  +34.2677213   \n",
       "3    101220  06037101220           SUNLAND-TUJUNGA NC     10  +34.2516083   \n",
       "4    101221  06037101221           SUNLAND-TUJUNGA NC     10  +34.2543290   \n",
       "\n",
       "     INTPTLON20                                           geometry  population  \n",
       "0  -118.2929869  POLYGON ((-118.30229 34.25870, -118.30091 34.2...        3923  \n",
       "1  -118.2901465  POLYGON ((-118.30334 34.27371, -118.30330 34.2...        4119  \n",
       "2  -118.2901465  POLYGON ((-118.29785 34.27778, -118.29783 34.2...        4119  \n",
       "3  -118.2816328  POLYGON ((-118.28592 34.25227, -118.28592 34.2...        3775  \n",
       "4  -118.2925767  POLYGON ((-118.29945 34.25598, -118.29792 34.2...        3787  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging the census_nc and acs_demographics_subset.\n",
    "tracts_nc_demographics = pd.merge(census_nc, acs_demographics_subset, on=\"GEOID20\")\n",
    "tracts_nc_demographics.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a729eb5",
   "metadata": {},
   "source": [
    "### Displaying the duplicate entries- census tracts intersecting more than 1 Neighborhood councils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c76533a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>TRACTCE20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>INTPTLAT20</th>\n",
       "      <th>INTPTLON20</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.30334 34.27371, -118.30330 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.29785 34.27778, -118.29783 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>101300</td>\n",
       "      <td>06037101300</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2487777</td>\n",
       "      <td>-118.2709990</td>\n",
       "      <td>POLYGON ((-118.27822 34.25068, -118.27822 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>101300</td>\n",
       "      <td>06037101300</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2487777</td>\n",
       "      <td>-118.2709990</td>\n",
       "      <td>POLYGON ((-118.26682 34.23124, -118.26695 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>101400</td>\n",
       "      <td>06037101400</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2428521</td>\n",
       "      <td>-118.2941612</td>\n",
       "      <td>POLYGON ((-118.32227 34.24961, -118.32212 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>101400</td>\n",
       "      <td>06037101400</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2428521</td>\n",
       "      <td>-118.2941612</td>\n",
       "      <td>POLYGON ((-118.32238 34.24963, -118.32227 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>102103</td>\n",
       "      <td>06037102103</td>\n",
       "      <td>SUN VALLEY AREA NC</td>\n",
       "      <td>8</td>\n",
       "      <td>+34.2250792</td>\n",
       "      <td>-118.3541880</td>\n",
       "      <td>POLYGON ((-118.36533 34.22870, -118.36396 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>102103</td>\n",
       "      <td>06037102103</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2250792</td>\n",
       "      <td>-118.3541880</td>\n",
       "      <td>POLYGON ((-118.35739 34.22856, -118.35546 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>102104</td>\n",
       "      <td>06037102104</td>\n",
       "      <td>SUN VALLEY AREA NC</td>\n",
       "      <td>8</td>\n",
       "      <td>+34.2161873</td>\n",
       "      <td>-118.3453981</td>\n",
       "      <td>POLYGON ((-118.35620 34.21971, -118.35594 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>102104</td>\n",
       "      <td>06037102104</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2161873</td>\n",
       "      <td>-118.3453981</td>\n",
       "      <td>MULTIPOLYGON (((-118.34413 34.21387, -118.3441...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>102107</td>\n",
       "      <td>06037102107</td>\n",
       "      <td>SUN VALLEY AREA NC</td>\n",
       "      <td>8</td>\n",
       "      <td>+34.2409052</td>\n",
       "      <td>-118.3395988</td>\n",
       "      <td>POLYGON ((-118.35739 34.22856, -118.35848 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>102107</td>\n",
       "      <td>06037102107</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2409052</td>\n",
       "      <td>-118.3395988</td>\n",
       "      <td>POLYGON ((-118.36789 34.23939, -118.36788 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>103101</td>\n",
       "      <td>06037103101</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2732407</td>\n",
       "      <td>-118.3078874</td>\n",
       "      <td>POLYGON ((-118.31534 34.27876, -118.31533 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>103101</td>\n",
       "      <td>06037103101</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2732407</td>\n",
       "      <td>-118.3078874</td>\n",
       "      <td>POLYGON ((-118.31760 34.27387, -118.31758 34.2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>103201</td>\n",
       "      <td>06037103201</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2656446</td>\n",
       "      <td>-118.3236267</td>\n",
       "      <td>MULTIPOLYGON (((-118.33294 34.26501, -118.3329...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TRACTCE20      GEOID20                         NAME  NC_ID   INTPTLAT20  \\\n",
       "1     101122  06037101122           SUNLAND-TUJUNGA NC     10  +34.2677213   \n",
       "17    101122  06037101122  FOOTHILL TRAILS DISTRICT NC      9  +34.2677213   \n",
       "5     101300  06037101300           SUNLAND-TUJUNGA NC     10  +34.2487777   \n",
       "18    101300  06037101300  FOOTHILL TRAILS DISTRICT NC      9  +34.2487777   \n",
       "6     101400  06037101400           SUNLAND-TUJUNGA NC     10  +34.2428521   \n",
       "19    101400  06037101400  FOOTHILL TRAILS DISTRICT NC      9  +34.2428521   \n",
       "42    102103  06037102103           SUN VALLEY AREA NC      8  +34.2250792   \n",
       "20    102103  06037102103  FOOTHILL TRAILS DISTRICT NC      9  +34.2250792   \n",
       "43    102104  06037102104           SUN VALLEY AREA NC      8  +34.2161873   \n",
       "21    102104  06037102104  FOOTHILL TRAILS DISTRICT NC      9  +34.2161873   \n",
       "45    102107  06037102107           SUN VALLEY AREA NC      8  +34.2409052   \n",
       "22    102107  06037102107  FOOTHILL TRAILS DISTRICT NC      9  +34.2409052   \n",
       "23    103101  06037103101  FOOTHILL TRAILS DISTRICT NC      9  +34.2732407   \n",
       "7     103101  06037103101           SUNLAND-TUJUNGA NC     10  +34.2732407   \n",
       "24    103201  06037103201  FOOTHILL TRAILS DISTRICT NC      9  +34.2656446   \n",
       "\n",
       "      INTPTLON20                                           geometry  \n",
       "1   -118.2901465  POLYGON ((-118.30334 34.27371, -118.30330 34.2...  \n",
       "17  -118.2901465  POLYGON ((-118.29785 34.27778, -118.29783 34.2...  \n",
       "5   -118.2709990  POLYGON ((-118.27822 34.25068, -118.27822 34.2...  \n",
       "18  -118.2709990  POLYGON ((-118.26682 34.23124, -118.26695 34.2...  \n",
       "6   -118.2941612  POLYGON ((-118.32227 34.24961, -118.32212 34.2...  \n",
       "19  -118.2941612  POLYGON ((-118.32238 34.24963, -118.32227 34.2...  \n",
       "42  -118.3541880  POLYGON ((-118.36533 34.22870, -118.36396 34.2...  \n",
       "20  -118.3541880  POLYGON ((-118.35739 34.22856, -118.35546 34.2...  \n",
       "43  -118.3453981  POLYGON ((-118.35620 34.21971, -118.35594 34.2...  \n",
       "21  -118.3453981  MULTIPOLYGON (((-118.34413 34.21387, -118.3441...  \n",
       "45  -118.3395988  POLYGON ((-118.35739 34.22856, -118.35848 34.2...  \n",
       "22  -118.3395988  POLYGON ((-118.36789 34.23939, -118.36788 34.2...  \n",
       "23  -118.3078874  POLYGON ((-118.31534 34.27876, -118.31533 34.2...  \n",
       "7   -118.3078874  POLYGON ((-118.31760 34.27387, -118.31758 34.2...  \n",
       "24  -118.3236267  MULTIPOLYGON (((-118.33294 34.26501, -118.3329...  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duplicate = census_nc[census_nc.GEOID20.duplicated(keep=False)]\n",
    "df_duplicate.sort_values(by=[\"GEOID20\"]).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "24ea6b42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1475"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duplicate.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7853b48",
   "metadata": {},
   "source": [
    "### Out of 2108 rows, 1475 rows are duplicate. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37692d42",
   "metadata": {},
   "source": [
    "### Here is a map of NCs and census tracts. Zoom in and toggle between NC and census tracts to see that some of the NCs share the census tracts with their neighbors. \n",
    "\n",
    "### Here is a link to the [map](https://exquisite-squirrel-d3afcc.netlify.app/). I am using netlify to deploy the interactive map. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "18f9468c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = la_nc.explore(\n",
    "    column ='NAME',  # Make choropleth based on 'NC name' column.\n",
    "    name='NC Regions', \n",
    "    tooltip='NAME',  # Show 'NC name' value in tooltip (on hover).\n",
    "    color=\"black\",  # Use black color on all points.\n",
    "    popup=True,  # Show all values in popup (on click).\n",
    "    tiles=\"openstreetmap\",  # Use \"openstreetmap\" tiles.\n",
    "    cmap=\"Set1\",  # Use \"Set1\" matplotlib colormap.\n",
    "    style_kwds=dict(color=\"black\"),  # Use black outline.\n",
    "    legend=False\n",
    "     ) \n",
    "census_nc.explore(\n",
    "    m=m,\n",
    "    column='TRACTCE20',  # Make choropleth based on 'TRACTCE20' column.\n",
    "    name='Census tracts', \n",
    "    tooltip='TRACTCE20',  # Show 'TRACTCE20' value in tooltip (on hover).\n",
    "    color=\"red\",  # Use red color on all points.\n",
    "    popup=True,  # Show all values in popup (on click).\n",
    "    tiles=\"openstreetmap\",  # Use \"openstreetmap\" tiles.\n",
    "    cmap=\"Set1\",  # Use \"Set1\" matplotlib colormap.\n",
    "    style_kwds=dict(color=\"black\"),  # Use black outline.\n",
    "    legend=False\n",
    "     )\n",
    "folium.TileLayer('Stamen Terrain').add_to(m)\n",
    "folium.TileLayer('Stamen Toner').add_to(m)\n",
    "folium.TileLayer('Stamen Water Color').add_to(m)\n",
    "folium.TileLayer('cartodbpositron').add_to(m)\n",
    "folium.TileLayer('cartodbdark_matter').add_to(m)\n",
    "folium.LayerControl().add_to(m)\n",
    "m.save('census_plus_NC.html')\n",
    "webbrowser.open('census_plus_NC.html')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e04bbc1",
   "metadata": {},
   "source": [
    "### A zoomed in picture of the NC map is shown below, illustrating examples when NCs share census tracts with its neighbors. These are just few of such cases. INTPTLAT20 and INTPTLON20 correspond to the latitude and the longitude of the internal points for each NC. From this figure, it can be seen that the census tract overlapping with more than 1 NC share the same INTPTLAT20 and INTPTLON20. "
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "e5fe2002",
   "metadata": {},
   "source": [
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e610ddfd",
   "metadata": {},
   "source": [
    "### Before moving forward, let us try to get the population of distinct census tracts without worrying about the proportion of NC areas intersected by census tracts. To do this, I will retain the first row of the duplicate data for the entire dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9b392830",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4534712"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = tracts_nc_demographics.groupby('TRACTCE20').first()\n",
    "test.population.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a71f4c5",
   "metadata": {},
   "source": [
    "<div style=\"text-align: justify\">  \n",
    "    \n",
    "### This number exactly matches with the one that I get using this [notebook](https://github.com/priyakalyan/Updated_NC_pop/blob/main/NC_pop_recent_no_filter.ipynb) where the population of NCs have been calculated using the same census tracts as in the dataframe tracts_nc_demographics. In this notebook, the sum of the population of all NCs at the tract level is inflated.\n",
    "    \n",
    "###  This implies that the census tracts that is being used in the calculation is wrong. This issue will be addressed here. But before going ahead, the next section will outline the methodology to calculate the area of census tracts intersecting multiple NCs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df2bb26d",
   "metadata": {},
   "source": [
    "### So here is a method to take care of cases where the census tract intersects more than 1 NCs. \n",
    "\n",
    "- **Find the area for each entry in census dataframe.** \n",
    "- **Group the census dataframe by 'TRACTCE20' and then find sum of the area- this gives you the total area of each census       tract.** \n",
    "- **Next, find the percentage of area of the census tract intersecting different NCs.** \n",
    "- **Use this information to find the percentage of population for each census tract.**\n",
    "- **Then find the total population by grouping them by NCs.** \n",
    "- **It should be noted that we are making an assumption of uniform distrubution of people within a census tract.** "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac57fedd",
   "metadata": {},
   "source": [
    "### Defining a [function](https://github.com/hackforla/access-the-data-workshop-311-analysis/blob/main/notebooks/NC-population-density.ipynb) to compute the area in square miles (area (sq_miles))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b4762f54",
   "metadata": {},
   "outputs": [],
   "source": [
    "geod = Geod(ellps='WGS84') \n",
    "\n",
    "def area_sq_miles(geo):\n",
    "    \"\"\" Returns area in square miles for the input geo, where geo is the polygon \n",
    "    (boundary feature) for each NC given by the geometry column.\n",
    "    \"\"\"\n",
    "    area_sq_meters = abs(geod.geometry_area_perimeter(geo)[0])\n",
    "    return (area_sq_meters * 3.86102e-7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aa16bcda",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>TRACTCE20</th>\n",
       "      <th>population</th>\n",
       "      <th>area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>101110</td>\n",
       "      <td>3923</td>\n",
       "      <td>0.441083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>101122</td>\n",
       "      <td>4119</td>\n",
       "      <td>1.020872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>101122</td>\n",
       "      <td>4119</td>\n",
       "      <td>0.000038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>101220</td>\n",
       "      <td>3775</td>\n",
       "      <td>0.269841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>101221</td>\n",
       "      <td>3787</td>\n",
       "      <td>0.136748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>101222</td>\n",
       "      <td>2717</td>\n",
       "      <td>0.114484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>101300</td>\n",
       "      <td>3741</td>\n",
       "      <td>0.993003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>9</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>101300</td>\n",
       "      <td>3741</td>\n",
       "      <td>0.002387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>101400</td>\n",
       "      <td>3246</td>\n",
       "      <td>2.414663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>101400</td>\n",
       "      <td>3246</td>\n",
       "      <td>0.021664</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   NC_ID                         NAME TRACTCE20  population      area\n",
       "0     10           SUNLAND-TUJUNGA NC    101110        3923  0.441083\n",
       "1     10           SUNLAND-TUJUNGA NC    101122        4119  1.020872\n",
       "2      9  FOOTHILL TRAILS DISTRICT NC    101122        4119  0.000038\n",
       "3     10           SUNLAND-TUJUNGA NC    101220        3775  0.269841\n",
       "4     10           SUNLAND-TUJUNGA NC    101221        3787  0.136748\n",
       "5     10           SUNLAND-TUJUNGA NC    101222        2717  0.114484\n",
       "6     10           SUNLAND-TUJUNGA NC    101300        3741  0.993003\n",
       "7      9  FOOTHILL TRAILS DISTRICT NC    101300        3741  0.002387\n",
       "8     10           SUNLAND-TUJUNGA NC    101400        3246  2.414663\n",
       "9      9  FOOTHILL TRAILS DISTRICT NC    101400        3246  0.021664"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add the area column.\n",
    "tracts_nc_demographics = pd.merge(census_nc, acs_demographics_subset, on=\"GEOID20\")\n",
    "tracts_nc_demographics[\"area\"] = tracts_nc_demographics.apply(\n",
    "    lambda row: area_sq_miles(row.geometry), axis=1\n",
    ")\n",
    "tracts_nc_demographics[[\"NC_ID\", \"NAME\", \"TRACTCE20\", \"population\", \"area\"]].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8b4490f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adding the total_area column by grouping tracts_nc_demographics by TRACTCE20 \n",
    "# and summing up the area for each census tract.\n",
    "tracts_nc_test = tracts_nc_demographics.groupby(\"TRACTCE20\", as_index=False).agg(\n",
    "    {\n",
    "        \"NC_ID\": \"first\",\n",
    "        \"NAME\": \"first\",\n",
    "        \"geometry\": \"first\",\n",
    "        \"INTPTLAT20\": \"first\",\n",
    "        \"INTPTLON20\": \"first\",\n",
    "        \"NAME\": \"first\",\n",
    "        \"GEOID20\": \"first\",\n",
    "        \"area\": sum,\n",
    "    }\n",
    ")\n",
    "tracts_nc_test.rename(columns={\"area\": \"total_area\"}, inplace=True)\n",
    "tracts_nc_test = tracts_nc_test[[\"TRACTCE20\", \"total_area\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a552c291",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>TRACTCE20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>INTPTLAT20</th>\n",
       "      <th>INTPTLON20</th>\n",
       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "      <th>area</th>\n",
       "      <th>total_area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>101110</td>\n",
       "      <td>06037101110</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2594737</td>\n",
       "      <td>-118.2929869</td>\n",
       "      <td>POLYGON ((-118.30229 34.25870, -118.30091 34.2...</td>\n",
       "      <td>3923</td>\n",
       "      <td>0.441083</td>\n",
       "      <td>0.441083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.30334 34.27371, -118.30330 34.2...</td>\n",
       "      <td>4119</td>\n",
       "      <td>1.020872</td>\n",
       "      <td>1.020910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.29785 34.27778, -118.29783 34.2...</td>\n",
       "      <td>4119</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>1.020910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>101220</td>\n",
       "      <td>06037101220</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2516083</td>\n",
       "      <td>-118.2816328</td>\n",
       "      <td>POLYGON ((-118.28592 34.25227, -118.28592 34.2...</td>\n",
       "      <td>3775</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>0.269841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>101221</td>\n",
       "      <td>06037101221</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2543290</td>\n",
       "      <td>-118.2925767</td>\n",
       "      <td>POLYGON ((-118.29945 34.25598, -118.29792 34.2...</td>\n",
       "      <td>3787</td>\n",
       "      <td>0.136748</td>\n",
       "      <td>0.136748</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  TRACTCE20      GEOID20                         NAME  NC_ID   INTPTLAT20  \\\n",
       "0    101110  06037101110           SUNLAND-TUJUNGA NC     10  +34.2594737   \n",
       "1    101122  06037101122           SUNLAND-TUJUNGA NC     10  +34.2677213   \n",
       "2    101122  06037101122  FOOTHILL TRAILS DISTRICT NC      9  +34.2677213   \n",
       "3    101220  06037101220           SUNLAND-TUJUNGA NC     10  +34.2516083   \n",
       "4    101221  06037101221           SUNLAND-TUJUNGA NC     10  +34.2543290   \n",
       "\n",
       "     INTPTLON20                                           geometry  \\\n",
       "0  -118.2929869  POLYGON ((-118.30229 34.25870, -118.30091 34.2...   \n",
       "1  -118.2901465  POLYGON ((-118.30334 34.27371, -118.30330 34.2...   \n",
       "2  -118.2901465  POLYGON ((-118.29785 34.27778, -118.29783 34.2...   \n",
       "3  -118.2816328  POLYGON ((-118.28592 34.25227, -118.28592 34.2...   \n",
       "4  -118.2925767  POLYGON ((-118.29945 34.25598, -118.29792 34.2...   \n",
       "\n",
       "   population      area  total_area  \n",
       "0        3923  0.441083    0.441083  \n",
       "1        4119  1.020872    1.020910  \n",
       "2        4119  0.000038    1.020910  \n",
       "3        3775  0.269841    0.269841  \n",
       "4        3787  0.136748    0.136748  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let us merge the tracts_nc_demographics and tracts_nc_test dataframes.\n",
    "tracts_nc_perc = pd.merge(tracts_nc_demographics, tracts_nc_test, on=\"TRACTCE20\")\n",
    "tracts_nc_perc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7e2d11d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TRACTCE20</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>population</th>\n",
       "      <th>area</th>\n",
       "      <th>area_perc</th>\n",
       "      <th>total_area</th>\n",
       "      <th>total_population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>101110</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>3923</td>\n",
       "      <td>0.441083</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.441083</td>\n",
       "      <td>3923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101122</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>4119</td>\n",
       "      <td>1.020872</td>\n",
       "      <td>0.999963</td>\n",
       "      <td>1.020910</td>\n",
       "      <td>4118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101122</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>4119</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>1.020910</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>101220</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>3775</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>3775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>101221</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>3787</td>\n",
       "      <td>0.136748</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.136748</td>\n",
       "      <td>3787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>101222</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>2717</td>\n",
       "      <td>0.114484</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.114484</td>\n",
       "      <td>2717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>101300</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>3741</td>\n",
       "      <td>0.993003</td>\n",
       "      <td>0.997602</td>\n",
       "      <td>0.995390</td>\n",
       "      <td>3732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>101300</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>3741</td>\n",
       "      <td>0.002387</td>\n",
       "      <td>0.002398</td>\n",
       "      <td>0.995390</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>101400</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>3246</td>\n",
       "      <td>2.414663</td>\n",
       "      <td>0.991108</td>\n",
       "      <td>2.436327</td>\n",
       "      <td>3217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>101400</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>3246</td>\n",
       "      <td>0.021664</td>\n",
       "      <td>0.008892</td>\n",
       "      <td>2.436327</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>103101</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>2484</td>\n",
       "      <td>0.607303</td>\n",
       "      <td>0.774879</td>\n",
       "      <td>0.783739</td>\n",
       "      <td>1924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>103101</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>2484</td>\n",
       "      <td>0.176436</td>\n",
       "      <td>0.225121</td>\n",
       "      <td>0.783739</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>103102</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>4716</td>\n",
       "      <td>0.479162</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.479162</td>\n",
       "      <td>4716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>103201</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>3961</td>\n",
       "      <td>0.548078</td>\n",
       "      <td>0.726166</td>\n",
       "      <td>0.754756</td>\n",
       "      <td>2876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>103201</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>3961</td>\n",
       "      <td>0.206678</td>\n",
       "      <td>0.273834</td>\n",
       "      <td>0.754756</td>\n",
       "      <td>1084</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TRACTCE20                         NAME  NC_ID  population      area  \\\n",
       "0     101110           SUNLAND-TUJUNGA NC     10        3923  0.441083   \n",
       "1     101122           SUNLAND-TUJUNGA NC     10        4119  1.020872   \n",
       "2     101122  FOOTHILL TRAILS DISTRICT NC      9        4119  0.000038   \n",
       "3     101220           SUNLAND-TUJUNGA NC     10        3775  0.269841   \n",
       "4     101221           SUNLAND-TUJUNGA NC     10        3787  0.136748   \n",
       "5     101222           SUNLAND-TUJUNGA NC     10        2717  0.114484   \n",
       "6     101300           SUNLAND-TUJUNGA NC     10        3741  0.993003   \n",
       "7     101300  FOOTHILL TRAILS DISTRICT NC      9        3741  0.002387   \n",
       "8     101400           SUNLAND-TUJUNGA NC     10        3246  2.414663   \n",
       "9     101400  FOOTHILL TRAILS DISTRICT NC      9        3246  0.021664   \n",
       "10    103101           SUNLAND-TUJUNGA NC     10        2484  0.607303   \n",
       "11    103101  FOOTHILL TRAILS DISTRICT NC      9        2484  0.176436   \n",
       "12    103102           SUNLAND-TUJUNGA NC     10        4716  0.479162   \n",
       "13    103201           SUNLAND-TUJUNGA NC     10        3961  0.548078   \n",
       "14    103201  FOOTHILL TRAILS DISTRICT NC      9        3961  0.206678   \n",
       "\n",
       "    area_perc  total_area  total_population  \n",
       "0    1.000000    0.441083              3923  \n",
       "1    0.999963    1.020910              4118  \n",
       "2    0.000037    1.020910                 0  \n",
       "3    1.000000    0.269841              3775  \n",
       "4    1.000000    0.136748              3787  \n",
       "5    1.000000    0.114484              2717  \n",
       "6    0.997602    0.995390              3732  \n",
       "7    0.002398    0.995390                 8  \n",
       "8    0.991108    2.436327              3217  \n",
       "9    0.008892    2.436327                28  \n",
       "10   0.774879    0.783739              1924  \n",
       "11   0.225121    0.783739               559  \n",
       "12   1.000000    0.479162              4716  \n",
       "13   0.726166    0.754756              2876  \n",
       "14   0.273834    0.754756              1084  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Evaluating the percentage of the intersecting areas (area_perc):\n",
    "tracts_nc_perc[\"area_perc\"] = tracts_nc_perc[\"area\"] / tracts_nc_perc[\"total_area\"]\n",
    "\n",
    "# Adding the percentage of population column.\n",
    "tracts_nc_perc[\"total_population\"] = (\n",
    "    tracts_nc_perc[\"population\"] * tracts_nc_perc[\"area_perc\"]\n",
    ")\n",
    "\n",
    "# Rounding the population number:\n",
    "tracts_nc_perc[\"total_population\"] = tracts_nc_perc[\"total_population\"].apply(np.floor)\n",
    "\n",
    "# Converting the population to integer type.\n",
    "tracts_nc_perc[\"total_population\"] = tracts_nc_perc[\"total_population\"].astype(int)\n",
    "\n",
    "tracts_nc_perc[\n",
    "    [\n",
    "        \"TRACTCE20\",\n",
    "        \"NAME\",\n",
    "        \"NC_ID\",\n",
    "        \"population\",\n",
    "        \"area\",\n",
    "        \"area_perc\",\n",
    "        \"total_area\",\n",
    "        \"total_population\",\n",
    "    ]\n",
    "].head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c26d19b5",
   "metadata": {},
   "source": [
    "<div style=\"text-align: justify\">  \n",
    "    \n",
    "### I will be incorporating the area filter and the population filter to skim out the values that were causing the population of the NCs to inflate. \n",
    "\n",
    "### Let us take a look at the NC- Atwater Village. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0bdcada0",
   "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>TRACTCE20</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>population</th>\n",
       "      <th>area</th>\n",
       "      <th>area_perc</th>\n",
       "      <th>total_area</th>\n",
       "      <th>total_population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>811</th>\n",
       "      <td>189703</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>1880</td>\n",
       "      <td>0.043906</td>\n",
       "      <td>0.029314</td>\n",
       "      <td>1.497769</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>311601</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>2608</td>\n",
       "      <td>0.000209</td>\n",
       "      <td>0.149092</td>\n",
       "      <td>0.001404</td>\n",
       "      <td>388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>311700</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>5966</td>\n",
       "      <td>0.004878</td>\n",
       "      <td>0.322874</td>\n",
       "      <td>0.015109</td>\n",
       "      <td>1926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>980009</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>6.816197</td>\n",
       "      <td>0.312739</td>\n",
       "      <td>21.795157</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>187102</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>4376</td>\n",
       "      <td>0.340444</td>\n",
       "      <td>0.402493</td>\n",
       "      <td>0.845840</td>\n",
       "      <td>1761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>187101</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3213</td>\n",
       "      <td>0.302714</td>\n",
       "      <td>0.995004</td>\n",
       "      <td>0.304234</td>\n",
       "      <td>3196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>187200</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3324</td>\n",
       "      <td>0.011649</td>\n",
       "      <td>0.031713</td>\n",
       "      <td>0.367315</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>187300</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3715</td>\n",
       "      <td>0.004740</td>\n",
       "      <td>0.010301</td>\n",
       "      <td>0.460138</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>188100</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3960</td>\n",
       "      <td>0.813095</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.813095</td>\n",
       "      <td>3960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>188201</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3262</td>\n",
       "      <td>0.019628</td>\n",
       "      <td>0.058066</td>\n",
       "      <td>0.338025</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>188202</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>2887</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.293574</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>188300</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3822</td>\n",
       "      <td>0.356143</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.356143</td>\n",
       "      <td>3822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>189202</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>2781</td>\n",
       "      <td>0.000332</td>\n",
       "      <td>0.000830</td>\n",
       "      <td>0.400121</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006</th>\n",
       "      <td>189300</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3212</td>\n",
       "      <td>0.022325</td>\n",
       "      <td>0.028684</td>\n",
       "      <td>0.778319</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1009</th>\n",
       "      <td>189400</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>3145</td>\n",
       "      <td>0.002692</td>\n",
       "      <td>0.004774</td>\n",
       "      <td>0.564007</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012</th>\n",
       "      <td>301601</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>5657</td>\n",
       "      <td>0.002890</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.002890</td>\n",
       "      <td>5657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>301602</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>4472</td>\n",
       "      <td>0.000794</td>\n",
       "      <td>0.331844</td>\n",
       "      <td>0.002393</td>\n",
       "      <td>1484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016</th>\n",
       "      <td>301702</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>6075</td>\n",
       "      <td>0.005642</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005642</td>\n",
       "      <td>6075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017</th>\n",
       "      <td>311801</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>37</td>\n",
       "      <td>2896</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>0.332929</td>\n",
       "      <td>0.000149</td>\n",
       "      <td>964</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     TRACTCE20                NAME  NC_ID  population      area  area_perc  \\\n",
       "811     189703  ATWATER VILLAGE NC     37        1880  0.043906   0.029314   \n",
       "833     311601  ATWATER VILLAGE NC     37        2608  0.000209   0.149092   \n",
       "837     311700  ATWATER VILLAGE NC     37        5966  0.004878   0.322874   \n",
       "841     980009  ATWATER VILLAGE NC     37           5  6.816197   0.312739   \n",
       "973     187102  ATWATER VILLAGE NC     37        4376  0.340444   0.402493   \n",
       "984     187101  ATWATER VILLAGE NC     37        3213  0.302714   0.995004   \n",
       "986     187200  ATWATER VILLAGE NC     37        3324  0.011649   0.031713   \n",
       "990     187300  ATWATER VILLAGE NC     37        3715  0.004740   0.010301   \n",
       "994     188100  ATWATER VILLAGE NC     37        3960  0.813095   1.000000   \n",
       "995     188201  ATWATER VILLAGE NC     37        3262  0.019628   0.058066   \n",
       "999     188202  ATWATER VILLAGE NC     37        2887  0.000121   0.000411   \n",
       "1002    188300  ATWATER VILLAGE NC     37        3822  0.356143   1.000000   \n",
       "1003    189202  ATWATER VILLAGE NC     37        2781  0.000332   0.000830   \n",
       "1006    189300  ATWATER VILLAGE NC     37        3212  0.022325   0.028684   \n",
       "1009    189400  ATWATER VILLAGE NC     37        3145  0.002692   0.004774   \n",
       "1012    301601  ATWATER VILLAGE NC     37        5657  0.002890   1.000000   \n",
       "1013    301602  ATWATER VILLAGE NC     37        4472  0.000794   0.331844   \n",
       "1016    301702  ATWATER VILLAGE NC     37        6075  0.005642   1.000000   \n",
       "1017    311801  ATWATER VILLAGE NC     37        2896  0.000050   0.332929   \n",
       "\n",
       "      total_area  total_population  \n",
       "811     1.497769                55  \n",
       "833     0.001404               388  \n",
       "837     0.015109              1926  \n",
       "841    21.795157                 1  \n",
       "973     0.845840              1761  \n",
       "984     0.304234              3196  \n",
       "986     0.367315               105  \n",
       "990     0.460138                38  \n",
       "994     0.813095              3960  \n",
       "995     0.338025               189  \n",
       "999     0.293574                 1  \n",
       "1002    0.356143              3822  \n",
       "1003    0.400121                 2  \n",
       "1006    0.778319                92  \n",
       "1009    0.564007                15  \n",
       "1012    0.002890              5657  \n",
       "1013    0.002393              1484  \n",
       "1016    0.005642              6075  \n",
       "1017    0.000149               964  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NC- Atwater village.\n",
    "tracts_nc_perc[tracts_nc_perc[\"NAME\"] == \"ATWATER VILLAGE NC\"][\n",
    "    [\n",
    "        \"TRACTCE20\",\n",
    "        \"NAME\",\n",
    "        \"NC_ID\",\n",
    "        \"population\",\n",
    "        \"area\",\n",
    "        \"area_perc\",\n",
    "        \"total_area\",\n",
    "        \"total_population\",\n",
    "    ]\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05a4a438",
   "metadata": {},
   "source": [
    "### Look at the census tracts 301601, 301602, 301702, 311801. When I looked at the map, these were the tracts belonging to the neighboring city- Glendale. These tracts obviously do not belong to Atwater Village NC. The total area of these tracts are extremely small, but the area_perc for some of these tracts - 1 and so the whole population is taken into account and thus this will result in a higher population value than the expected one. So, I am adding the area filter- total_area(sq_miles) >= 0.01. \n",
    "    \n",
    "### Similarly, some of the population value is so small, but the cumulative effect can result in an exaggerated population number. Therefore, I am going to add the population filter here. The [minimum population](https://www2.census.gov/geo/pdfs/education/CensusTracts.pdf) of a whole census tract is 1200. Since we are dealing with proportional areas and sometimes, a census tract intersects 2 NCs in 30% to 70% ratio and so I want to be reasonable with the population filter- 1000 (we do not want to undercount too). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8a06f9a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TRACTCE20</th>\n",
       "      <th>GEOID20</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>INTPTLAT20</th>\n",
       "      <th>INTPTLON20</th>\n",
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       "      <th>0</th>\n",
       "      <td>101110</td>\n",
       "      <td>06037101110</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2594737</td>\n",
       "      <td>-118.2929869</td>\n",
       "      <td>POLYGON ((-118.30229 34.25870, -118.30091 34.2...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.30334 34.27371, -118.30330 34.2...</td>\n",
       "      <td>4119</td>\n",
       "      <td>1.020872</td>\n",
       "      <td>1.020910</td>\n",
       "      <td>0.999963</td>\n",
       "      <td>4118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101122</td>\n",
       "      <td>06037101122</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>9</td>\n",
       "      <td>+34.2677213</td>\n",
       "      <td>-118.2901465</td>\n",
       "      <td>POLYGON ((-118.29785 34.27778, -118.29783 34.2...</td>\n",
       "      <td>4119</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>1.020910</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>101220</td>\n",
       "      <td>06037101220</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2516083</td>\n",
       "      <td>-118.2816328</td>\n",
       "      <td>POLYGON ((-118.28592 34.25227, -118.28592 34.2...</td>\n",
       "      <td>3775</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>0.269841</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>101221</td>\n",
       "      <td>06037101221</td>\n",
       "      <td>SUNLAND-TUJUNGA NC</td>\n",
       "      <td>10</td>\n",
       "      <td>+34.2543290</td>\n",
       "      <td>-118.2925767</td>\n",
       "      <td>POLYGON ((-118.29945 34.25598, -118.29792 34.2...</td>\n",
       "      <td>3787</td>\n",
       "      <td>0.136748</td>\n",
       "      <td>0.136748</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3787</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  TRACTCE20      GEOID20                         NAME  NC_ID   INTPTLAT20  \\\n",
       "0    101110  06037101110           SUNLAND-TUJUNGA NC     10  +34.2594737   \n",
       "1    101122  06037101122           SUNLAND-TUJUNGA NC     10  +34.2677213   \n",
       "2    101122  06037101122  FOOTHILL TRAILS DISTRICT NC      9  +34.2677213   \n",
       "3    101220  06037101220           SUNLAND-TUJUNGA NC     10  +34.2516083   \n",
       "4    101221  06037101221           SUNLAND-TUJUNGA NC     10  +34.2543290   \n",
       "\n",
       "     INTPTLON20                                           geometry  \\\n",
       "0  -118.2929869  POLYGON ((-118.30229 34.25870, -118.30091 34.2...   \n",
       "1  -118.2901465  POLYGON ((-118.30334 34.27371, -118.30330 34.2...   \n",
       "2  -118.2901465  POLYGON ((-118.29785 34.27778, -118.29783 34.2...   \n",
       "3  -118.2816328  POLYGON ((-118.28592 34.25227, -118.28592 34.2...   \n",
       "4  -118.2925767  POLYGON ((-118.29945 34.25598, -118.29792 34.2...   \n",
       "\n",
       "   population      area  total_area  area_perc  total_population  \n",
       "0        3923  0.441083    0.441083   1.000000              3923  \n",
       "1        4119  1.020872    1.020910   0.999963              4118  \n",
       "2        4119  0.000038    1.020910   0.000037                 0  \n",
       "3        3775  0.269841    0.269841   1.000000              3775  \n",
       "4        3787  0.136748    0.136748   1.000000              3787  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtering out total_area < 0.01 square miles.\n",
    "tracts_nc_perc_filter = tracts_nc_perc[tracts_nc_perc[\"total_area\"] >= 0.01]\n",
    "tracts_nc_perc_filter.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c33a4134",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1172"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Removing the rows with population value < 1000.\n",
    "tracts_nc_perc_filter = tracts_nc_perc_filter[\n",
    "    tracts_nc_perc_filter[\"total_population\"] >= 1000\n",
    "]\n",
    "tracts_nc_perc_filter.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "256226f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>total_population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>ARLETA NC</td>\n",
       "      <td>35585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>42</td>\n",
       "      <td>ARROYO SECO NC</td>\n",
       "      <td>19479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>46</td>\n",
       "      <td>ARTS DISTRICT LITTLE TOKYO NC</td>\n",
       "      <td>4153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>37</td>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>14665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>64</td>\n",
       "      <td>BEL AIR-BEVERLY CREST NC</td>\n",
       "      <td>24732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>50</td>\n",
       "      <td>BOYLE HEIGHTS NC</td>\n",
       "      <td>87817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>13</td>\n",
       "      <td>CANOGA PARK NC</td>\n",
       "      <td>54184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>110</td>\n",
       "      <td>CENTRAL ALAMEDA NC</td>\n",
       "      <td>30219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>32</td>\n",
       "      <td>CENTRAL HOLLYWOOD NC</td>\n",
       "      <td>18204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>95</td>\n",
       "      <td>CENTRAL SAN PEDRO NC</td>\n",
       "      <td>29244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>99</td>\n",
       "      <td>CHATSWORTH NC</td>\n",
       "      <td>41153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>96</td>\n",
       "      <td>COASTAL SAN PEDRO NC</td>\n",
       "      <td>28209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>86</td>\n",
       "      <td>COMMUNITY AND NEIGHBORS FOR NINTH DISTRICT UNI...</td>\n",
       "      <td>48501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>70</td>\n",
       "      <td>DEL REY NC</td>\n",
       "      <td>34235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>52</td>\n",
       "      <td>DOWNTOWN LOS ANGELES</td>\n",
       "      <td>50250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>40</td>\n",
       "      <td>EAGLE ROCK NC</td>\n",
       "      <td>31518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>34</td>\n",
       "      <td>EAST HOLLYWOOD NC</td>\n",
       "      <td>42741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>44</td>\n",
       "      <td>ECHO PARK NC</td>\n",
       "      <td>42361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>43</td>\n",
       "      <td>ELYSIAN VALLEY RIVERSIDE NC</td>\n",
       "      <td>6926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>81</td>\n",
       "      <td>EMPOWERMENT CONGRESS CENTRAL AREA NC</td>\n",
       "      <td>51301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>77</td>\n",
       "      <td>EMPOWERMENT CONGRESS NORTH AREA NC</td>\n",
       "      <td>78270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>87</td>\n",
       "      <td>EMPOWERMENT CONGRESS SOUTHEAST AREA NDC</td>\n",
       "      <td>85528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>84</td>\n",
       "      <td>EMPOWERMENT CONGRESS SOUTHWEST AREA NDC</td>\n",
       "      <td>30229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>79</td>\n",
       "      <td>EMPOWERMENT CONGRESS WEST AREA NDC</td>\n",
       "      <td>41645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>18</td>\n",
       "      <td>ENCINO NC</td>\n",
       "      <td>50445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9</td>\n",
       "      <td>FOOTHILL TRAILS DISTRICT NC</td>\n",
       "      <td>23882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>39</td>\n",
       "      <td>GLASSELL PARK NC</td>\n",
       "      <td>22120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4</td>\n",
       "      <td>GRANADA HILLS NORTH NC</td>\n",
       "      <td>26351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>118</td>\n",
       "      <td>GRANADA HILLS SOUTH NC</td>\n",
       "      <td>38583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>102</td>\n",
       "      <td>GREATER CYPRESS PARK NC</td>\n",
       "      <td>10620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>28</td>\n",
       "      <td>GREATER TOLUCA LAKE NC</td>\n",
       "      <td>12027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>21</td>\n",
       "      <td>GREATER VALLEY GLEN</td>\n",
       "      <td>44066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>119</td>\n",
       "      <td>GREATER WILSHIRE NC</td>\n",
       "      <td>45702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>92</td>\n",
       "      <td>HARBOR CITY NC</td>\n",
       "      <td>25688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>90</td>\n",
       "      <td>HARBOR GATEWAY NORTH NC</td>\n",
       "      <td>37928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>91</td>\n",
       "      <td>HARBOR GATEWAY SOUTH NC</td>\n",
       "      <td>23167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>126</td>\n",
       "      <td>HERMON NC</td>\n",
       "      <td>2649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>128</td>\n",
       "      <td>HISTORIC CULTURAL NORTH NC</td>\n",
       "      <td>26289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>41</td>\n",
       "      <td>HISTORIC HIGHLAND PARK NC</td>\n",
       "      <td>47327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>29</td>\n",
       "      <td>HOLLYWOOD HILLS WEST NC</td>\n",
       "      <td>36653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>33</td>\n",
       "      <td>HOLLYWOOD STUDIO DISTRICT NC</td>\n",
       "      <td>24286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>30</td>\n",
       "      <td>HOLLYWOOD UNITED NC</td>\n",
       "      <td>22884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>48</td>\n",
       "      <td>LA-32 NC</td>\n",
       "      <td>45581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>19</td>\n",
       "      <td>LAKE BALBOA NC</td>\n",
       "      <td>44375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>47</td>\n",
       "      <td>LINCOLN HEIGHTS NC</td>\n",
       "      <td>31741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>36</td>\n",
       "      <td>LOS FELIZ NC</td>\n",
       "      <td>34513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>54</td>\n",
       "      <td>MACARTHUR PARK NC</td>\n",
       "      <td>27222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>67</td>\n",
       "      <td>MAR VISTA NC</td>\n",
       "      <td>51439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>73</td>\n",
       "      <td>MID CITY NC</td>\n",
       "      <td>26221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>58</td>\n",
       "      <td>MID CITY WEST CC</td>\n",
       "      <td>57588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    NC_ID                                               NAME  total_population\n",
       "0       6                                          ARLETA NC             35585\n",
       "1      42                                     ARROYO SECO NC             19479\n",
       "2      46                      ARTS DISTRICT LITTLE TOKYO NC              4153\n",
       "3      37                                 ATWATER VILLAGE NC             14665\n",
       "4      64                           BEL AIR-BEVERLY CREST NC             24732\n",
       "5      50                                   BOYLE HEIGHTS NC             87817\n",
       "6      13                                     CANOGA PARK NC             54184\n",
       "7     110                                 CENTRAL ALAMEDA NC             30219\n",
       "8      32                               CENTRAL HOLLYWOOD NC             18204\n",
       "9      95                               CENTRAL SAN PEDRO NC             29244\n",
       "10     99                                      CHATSWORTH NC             41153\n",
       "11     96                               COASTAL SAN PEDRO NC             28209\n",
       "12     86  COMMUNITY AND NEIGHBORS FOR NINTH DISTRICT UNI...             48501\n",
       "13     70                                         DEL REY NC             34235\n",
       "14     52                               DOWNTOWN LOS ANGELES             50250\n",
       "15     40                                      EAGLE ROCK NC             31518\n",
       "16     34                                  EAST HOLLYWOOD NC             42741\n",
       "17     44                                       ECHO PARK NC             42361\n",
       "18     43                        ELYSIAN VALLEY RIVERSIDE NC              6926\n",
       "19     81               EMPOWERMENT CONGRESS CENTRAL AREA NC             51301\n",
       "20     77                 EMPOWERMENT CONGRESS NORTH AREA NC             78270\n",
       "21     87            EMPOWERMENT CONGRESS SOUTHEAST AREA NDC             85528\n",
       "22     84            EMPOWERMENT CONGRESS SOUTHWEST AREA NDC             30229\n",
       "23     79                 EMPOWERMENT CONGRESS WEST AREA NDC             41645\n",
       "24     18                                          ENCINO NC             50445\n",
       "25      9                        FOOTHILL TRAILS DISTRICT NC             23882\n",
       "26     39                                   GLASSELL PARK NC             22120\n",
       "27      4                             GRANADA HILLS NORTH NC             26351\n",
       "28    118                             GRANADA HILLS SOUTH NC             38583\n",
       "29    102                            GREATER CYPRESS PARK NC             10620\n",
       "30     28                             GREATER TOLUCA LAKE NC             12027\n",
       "31     21                                GREATER VALLEY GLEN             44066\n",
       "32    119                                GREATER WILSHIRE NC             45702\n",
       "33     92                                     HARBOR CITY NC             25688\n",
       "34     90                            HARBOR GATEWAY NORTH NC             37928\n",
       "35     91                            HARBOR GATEWAY SOUTH NC             23167\n",
       "36    126                                          HERMON NC              2649\n",
       "37    128                         HISTORIC CULTURAL NORTH NC             26289\n",
       "38     41                          HISTORIC HIGHLAND PARK NC             47327\n",
       "39     29                            HOLLYWOOD HILLS WEST NC             36653\n",
       "40     33                       HOLLYWOOD STUDIO DISTRICT NC             24286\n",
       "41     30                                HOLLYWOOD UNITED NC             22884\n",
       "42     48                                           LA-32 NC             45581\n",
       "43     19                                     LAKE BALBOA NC             44375\n",
       "44     47                                 LINCOLN HEIGHTS NC             31741\n",
       "45     36                                       LOS FELIZ NC             34513\n",
       "46     54                                  MACARTHUR PARK NC             27222\n",
       "47     67                                       MAR VISTA NC             51439\n",
       "48     73                                        MID CITY NC             26221\n",
       "49     58                                   MID CITY WEST CC             57588"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Summming up the population of each NCs.\n",
    "tracts_nc_pop = tracts_nc_perc_filter.groupby(\"NAME\", as_index=False).agg(\n",
    "    {\"NC_ID\": \"first\", \"NAME\": \"first\", \"total_population\": sum}\n",
    ")\n",
    "tracts_nc_pop[\"total_population\"] = tracts_nc_pop[\"total_population\"].astype(int)\n",
    "tracts_nc_pop.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b2bbb605",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3825667"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracts_nc_pop.total_population.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d89f8f1",
   "metadata": {},
   "source": [
    "<div style=\"text-align: justify\">  \n",
    "    \n",
    "### This number is close to the [Census Bureau](https://www.census.gov/quickfacts/losangelescitycalifornia?) value- 3,849,297. Now that we have the population of each NC, let us move on to getting the area and finally the updated population density of the neighborhood councils.      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "da2f496a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\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>NAME</th>\n",
       "      <th>geometry</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>total_population</th>\n",
       "      <th>area</th>\n",
       "      <th>pop_density</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ARLETA NC</td>\n",
       "      <td>POLYGON ((-118.41010 34.23309, -118.41034 34.2...</td>\n",
       "      <td>6</td>\n",
       "      <td>35585</td>\n",
       "      <td>3.284868</td>\n",
       "      <td>10833.007723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ARROYO SECO NC</td>\n",
       "      <td>POLYGON ((-118.18576 34.09293, -118.18576 34.0...</td>\n",
       "      <td>42</td>\n",
       "      <td>19479</td>\n",
       "      <td>3.063327</td>\n",
       "      <td>6358.773341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ARTS DISTRICT LITTLE TOKYO NC</td>\n",
       "      <td>POLYGON ((-118.22877 34.04155, -118.22827 34.0...</td>\n",
       "      <td>46</td>\n",
       "      <td>4153</td>\n",
       "      <td>0.879216</td>\n",
       "      <td>4723.528997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>POLYGON ((-118.25399 34.10816, -118.25424 34.1...</td>\n",
       "      <td>37</td>\n",
       "      <td>14665</td>\n",
       "      <td>8.748450</td>\n",
       "      <td>1676.296980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BEL AIR-BEVERLY CREST NC</td>\n",
       "      <td>POLYGON ((-118.46573 34.07325, -118.46581 34.0...</td>\n",
       "      <td>64</td>\n",
       "      <td>24732</td>\n",
       "      <td>17.038756</td>\n",
       "      <td>1451.514436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>BOYLE HEIGHTS NC</td>\n",
       "      <td>POLYGON ((-118.20504 34.01263, -118.20504 34.0...</td>\n",
       "      <td>50</td>\n",
       "      <td>87817</td>\n",
       "      <td>5.735881</td>\n",
       "      <td>15310.116685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CANOGA PARK NC</td>\n",
       "      <td>POLYGON ((-118.58846 34.19524, -118.58846 34.1...</td>\n",
       "      <td>13</td>\n",
       "      <td>54184</td>\n",
       "      <td>3.689892</td>\n",
       "      <td>14684.440778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CENTRAL ALAMEDA NC</td>\n",
       "      <td>POLYGON ((-118.23777 33.98933, -118.23777 33.9...</td>\n",
       "      <td>110</td>\n",
       "      <td>30219</td>\n",
       "      <td>1.358014</td>\n",
       "      <td>22252.346382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CENTRAL HOLLYWOOD NC</td>\n",
       "      <td>POLYGON ((-118.32445 34.08712, -118.32445 34.0...</td>\n",
       "      <td>32</td>\n",
       "      <td>18204</td>\n",
       "      <td>1.229127</td>\n",
       "      <td>14810.517707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CENTRAL SAN PEDRO NC</td>\n",
       "      <td>POLYGON ((-118.28794 33.73151, -118.28795 33.7...</td>\n",
       "      <td>95</td>\n",
       "      <td>29244</td>\n",
       "      <td>2.438025</td>\n",
       "      <td>11994.957379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CHATSWORTH NC</td>\n",
       "      <td>POLYGON ((-118.56231 34.23405, -118.56232 34.2...</td>\n",
       "      <td>99</td>\n",
       "      <td>41153</td>\n",
       "      <td>11.394106</td>\n",
       "      <td>3611.779707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>COASTAL SAN PEDRO NC</td>\n",
       "      <td>POLYGON ((-118.26232 33.70500, -118.26232 33.7...</td>\n",
       "      <td>96</td>\n",
       "      <td>28209</td>\n",
       "      <td>4.713196</td>\n",
       "      <td>5985.111214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>COMMUNITY AND NEIGHBORS FOR NINTH DISTRICT UNI...</td>\n",
       "      <td>POLYGON ((-118.25640 33.96470, -118.25640 33.9...</td>\n",
       "      <td>86</td>\n",
       "      <td>48501</td>\n",
       "      <td>2.550243</td>\n",
       "      <td>19018.185733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DEL REY NC</td>\n",
       "      <td>POLYGON ((-118.43312 33.97609, -118.43315 33.9...</td>\n",
       "      <td>70</td>\n",
       "      <td>34235</td>\n",
       "      <td>3.027096</td>\n",
       "      <td>11309.517225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>DOWNTOWN LOS ANGELES</td>\n",
       "      <td>POLYGON ((-118.22419 34.01494, -118.22569 34.0...</td>\n",
       "      <td>52</td>\n",
       "      <td>50250</td>\n",
       "      <td>5.030842</td>\n",
       "      <td>9988.388370</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 NAME  \\\n",
       "0                                           ARLETA NC   \n",
       "1                                      ARROYO SECO NC   \n",
       "2                       ARTS DISTRICT LITTLE TOKYO NC   \n",
       "3                                  ATWATER VILLAGE NC   \n",
       "4                            BEL AIR-BEVERLY CREST NC   \n",
       "5                                    BOYLE HEIGHTS NC   \n",
       "6                                      CANOGA PARK NC   \n",
       "7                                  CENTRAL ALAMEDA NC   \n",
       "8                                CENTRAL HOLLYWOOD NC   \n",
       "9                                CENTRAL SAN PEDRO NC   \n",
       "10                                      CHATSWORTH NC   \n",
       "11                               COASTAL SAN PEDRO NC   \n",
       "12  COMMUNITY AND NEIGHBORS FOR NINTH DISTRICT UNI...   \n",
       "13                                         DEL REY NC   \n",
       "14                               DOWNTOWN LOS ANGELES   \n",
       "\n",
       "                                             geometry  NC_ID  \\\n",
       "0   POLYGON ((-118.41010 34.23309, -118.41034 34.2...      6   \n",
       "1   POLYGON ((-118.18576 34.09293, -118.18576 34.0...     42   \n",
       "2   POLYGON ((-118.22877 34.04155, -118.22827 34.0...     46   \n",
       "3   POLYGON ((-118.25399 34.10816, -118.25424 34.1...     37   \n",
       "4   POLYGON ((-118.46573 34.07325, -118.46581 34.0...     64   \n",
       "5   POLYGON ((-118.20504 34.01263, -118.20504 34.0...     50   \n",
       "6   POLYGON ((-118.58846 34.19524, -118.58846 34.1...     13   \n",
       "7   POLYGON ((-118.23777 33.98933, -118.23777 33.9...    110   \n",
       "8   POLYGON ((-118.32445 34.08712, -118.32445 34.0...     32   \n",
       "9   POLYGON ((-118.28794 33.73151, -118.28795 33.7...     95   \n",
       "10  POLYGON ((-118.56231 34.23405, -118.56232 34.2...     99   \n",
       "11  POLYGON ((-118.26232 33.70500, -118.26232 33.7...     96   \n",
       "12  POLYGON ((-118.25640 33.96470, -118.25640 33.9...     86   \n",
       "13  POLYGON ((-118.43312 33.97609, -118.43315 33.9...     70   \n",
       "14  POLYGON ((-118.22419 34.01494, -118.22569 34.0...     52   \n",
       "\n",
       "    total_population       area   pop_density  \n",
       "0              35585   3.284868  10833.007723  \n",
       "1              19479   3.063327   6358.773341  \n",
       "2               4153   0.879216   4723.528997  \n",
       "3              14665   8.748450   1676.296980  \n",
       "4              24732  17.038756   1451.514436  \n",
       "5              87817   5.735881  15310.116685  \n",
       "6              54184   3.689892  14684.440778  \n",
       "7              30219   1.358014  22252.346382  \n",
       "8              18204   1.229127  14810.517707  \n",
       "9              29244   2.438025  11994.957379  \n",
       "10             41153  11.394106   3611.779707  \n",
       "11             28209   4.713196   5985.111214  \n",
       "12             48501   2.550243  19018.185733  \n",
       "13             34235   3.027096  11309.517225  \n",
       "14             50250   5.030842   9988.388370  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping the original tracts_nc_demographics dataframe by NAME and then summing up\n",
    "# the total area- this gives the area of each neighborhood council. Very important note\n",
    "# here- groupby function works when trying to aggregate dataframes but for spatial data,\n",
    "# we can aggregate the geometry features using dissolve function.\n",
    "\n",
    "tracts_nc_area = tracts_nc_demographics.dissolve(\n",
    "    by=\"NAME\", as_index=False, aggfunc=({\"NC_ID\": \"first\", \"area\": sum})\n",
    ")\n",
    "\n",
    "# Gathering all the columns of interest.\n",
    "tracts_nc_final = tracts_nc_area.join(tracts_nc_pop[\"total_population\"])\n",
    "tracts_nc_final[\"pop_density\"] = (\n",
    "    tracts_nc_final[\"total_population\"] / tracts_nc_final[\"area\"]\n",
    ")\n",
    "\n",
    "# Rearranging the columns.\n",
    "tracts_nc_final = tracts_nc_final[\n",
    "    [\"NAME\", \"geometry\", \"NC_ID\", \"total_population\", \"area\", \"pop_density\"]\n",
    "]\n",
    "tracts_nc_final.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3b23854",
   "metadata": {},
   "source": [
    "### Here is a plot of tracts_nc_final dataframe with the population, population density and area popping up for each NCs. I am posting the link to this [map](https://effervescent-profiterole-8fd074.netlify.app/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "883820a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m1 = tracts_nc_final.explore(\n",
    "    column= 'NAME',  # Make choropleth based on 'NC name' column.\n",
    "    name='NC Regions', \n",
    "    tooltip='NAME',  # Show 'NC name' value in tooltip (on hover).\n",
    "    color=\"black\",  # Use red color on all points.\n",
    "    popup=True,  # Show all values in popup (on click).\n",
    "    tiles=\"openstreetmap\",  # Use \"openstreetmap\" tiles.\n",
    "    cmap=\"Set1\",  # Use \"Set1\" matplotlib colormap.\n",
    "    style_kwds=dict(color=\"black\"),  # Use black outline.\n",
    "    legend=False\n",
    "     )\n",
    "folium.TileLayer('Stamen Terrain').add_to(m1)\n",
    "folium.TileLayer('Stamen Toner').add_to(m1)\n",
    "folium.TileLayer('Stamen Water Color').add_to(m1)\n",
    "folium.TileLayer('cartodbpositron').add_to(m1)\n",
    "folium.TileLayer('cartodbdark_matter').add_to(m1)\n",
    "folium.LayerControl().add_to(m1)\n",
    "m1.save('tracts_nc_final.html')\n",
    "webbrowser.open('tracts_nc_final.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "def3bb4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>geometry</th>\n",
       "      <th>NC_ID</th>\n",
       "      <th>total_population</th>\n",
       "      <th>area</th>\n",
       "      <th>pop_density</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ARLETA NC</td>\n",
       "      <td>POLYGON ((-118.41010 34.23309, -118.41034 34.2...</td>\n",
       "      <td>6</td>\n",
       "      <td>35585</td>\n",
       "      <td>3.284868</td>\n",
       "      <td>10833.007723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ARROYO SECO NC</td>\n",
       "      <td>POLYGON ((-118.18576 34.09293, -118.18576 34.0...</td>\n",
       "      <td>42</td>\n",
       "      <td>19479</td>\n",
       "      <td>3.063327</td>\n",
       "      <td>6358.773341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ARTS DISTRICT LITTLE TOKYO NC</td>\n",
       "      <td>POLYGON ((-118.22877 34.04155, -118.22827 34.0...</td>\n",
       "      <td>46</td>\n",
       "      <td>4153</td>\n",
       "      <td>0.879216</td>\n",
       "      <td>4723.528997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ATWATER VILLAGE NC</td>\n",
       "      <td>POLYGON ((-118.25399 34.10816, -118.25424 34.1...</td>\n",
       "      <td>37</td>\n",
       "      <td>14665</td>\n",
       "      <td>8.748450</td>\n",
       "      <td>1676.296980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BEL AIR-BEVERLY CREST NC</td>\n",
       "      <td>POLYGON ((-118.46573 34.07325, -118.46581 34.0...</td>\n",
       "      <td>64</td>\n",
       "      <td>24732</td>\n",
       "      <td>17.038756</td>\n",
       "      <td>1451.514436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            NAME  \\\n",
       "0                      ARLETA NC   \n",
       "1                 ARROYO SECO NC   \n",
       "2  ARTS DISTRICT LITTLE TOKYO NC   \n",
       "3             ATWATER VILLAGE NC   \n",
       "4       BEL AIR-BEVERLY CREST NC   \n",
       "\n",
       "                                            geometry  NC_ID  total_population  \\\n",
       "0  POLYGON ((-118.41010 34.23309, -118.41034 34.2...      6             35585   \n",
       "1  POLYGON ((-118.18576 34.09293, -118.18576 34.0...     42             19479   \n",
       "2  POLYGON ((-118.22877 34.04155, -118.22827 34.0...     46              4153   \n",
       "3  POLYGON ((-118.25399 34.10816, -118.25424 34.1...     37             14665   \n",
       "4  POLYGON ((-118.46573 34.07325, -118.46581 34.0...     64             24732   \n",
       "\n",
       "        area   pop_density  \n",
       "0   3.284868  10833.007723  \n",
       "1   3.063327   6358.773341  \n",
       "2   0.879216   4723.528997  \n",
       "3   8.748450   1676.296980  \n",
       "4  17.038756   1451.514436  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracts_nc_final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "53e23ba2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the dataframe as a csv file after dropping the geometry column.\n",
    "tracts_nc_final= tracts_nc_final.drop(['geometry'], axis=1)\n",
    "tracts_nc_final.to_csv('tracts_nc_final.csv')"
   ]
  }
 ],
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