Capstone Exploratory Data Analysis.ipynb

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    "# Capstone Exploratory Data Analysis\n",
    "David Cuervo\n",
    "\n",
    "Data Sourced from:\n",
    " - US Environmental Protection Agency, Toxic Release Inventory\n",
    " - US Census Bureau \n",
    "\n",
    "## Abstract\n",
    "\n",
    "### Objective\n",
    "Explore the relationships between income, race, and industrial toxic releases in the state of Texas.\n",
    "### Methods\n",
    " - Explore carcinogen release\n",
    " - Explore all chemical release\n",
    " - Plot the polluting parent companys\n",
    " - Plot the most polluted counties\n",
    " - Explore Harris county (most polluted county)\n",
    " - Explore the Census data\n",
    " - Merge Census and EPA data\n",
    "\n",
    "### Conclusions\n",
    "From the analysis conducted in the Modeling notebook, the results were inconclusive. The best model had an accuracy of 51% and the important features in the model were unclear. From this data, it is unclear if industrial toxic releases are more prevelant in poorer ZIP codes or ZIP codes with a higher population of people of color. Future analyses can study other sources of pollution such as municipal waste sites, bus depots, and water treatment facilities.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('ACSST5Y2019.S1701_data_with_overlays_2021-03-08T154944.csv')"
   ]
  },
  {
   "cell_type": "code",
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     "metadata": {},
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    "df.head()"
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   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/davidcuervo/opt/anaconda3/envs/learn-env/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (15) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
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   "source": [
    "df2 = pd.read_csv('tri_2019_tx.csv')"
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       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1319217901228</td>\n",
       "      <td>AMMONIA</td>\n",
       "      <td>NO</td>\n",
       "      <td>007664417</td>\n",
       "      <td>152389.0</td>\n",
       "      <td>NO</td>\n",
       "      <td>TRI</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1319217905456</td>\n",
       "      <td>BIPHENYL</td>\n",
       "      <td>NO</td>\n",
       "      <td>000092524</td>\n",
       "      <td>14183.0</td>\n",
       "      <td>YES</td>\n",
       "      <td>TRI</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1319217901281</td>\n",
       "      <td>SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...</td>\n",
       "      <td>NO</td>\n",
       "      <td>007664939</td>\n",
       "      <td>152405.0</td>\n",
       "      <td>NO</td>\n",
       "      <td>TRI</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2019</td>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>110000464266</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>BRAZOS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77803</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1319218266233</td>\n",
       "      <td>HYDROGEN FLUORIDE</td>\n",
       "      <td>NO</td>\n",
       "      <td>007664393</td>\n",
       "      <td>152371.0</td>\n",
       "      <td>YES</td>\n",
       "      <td>TRI</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1319217905470</td>\n",
       "      <td>CHLORINE</td>\n",
       "      <td>NO</td>\n",
       "      <td>007782505</td>\n",
       "      <td>154328.0</td>\n",
       "      <td>YES</td>\n",
       "      <td>TRI</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   1. YEAR         2. TRIFD     3. FRS ID     4. FACILITY NAME  \\\n",
       "0     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "1     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "2     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "3     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "4     2019  77803NRTNC1500I  110000464266  SAINT-GOBAIN NORPRO   \n",
       "5     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "6     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "7     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "8     2019  77803NRTNC1500I  110000464266  SAINT-GOBAIN NORPRO   \n",
       "9     2019  77015FRMNT2239H  110000460965   GB BIOSCIENCES LLC   \n",
       "\n",
       "       5. STREET ADDRESS  6. CITY 7. COUNTY 8. ST  9. ZIP  10. BIA  ...  \\\n",
       "0          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "1          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "2          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "3          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "4  1500 INDEPENDENCE AVE    BRYAN    BRAZOS    TX   77803      NaN  ...   \n",
       "5          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "6          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "7          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "8  1500 INDEPENDENCE AVE    BRYAN    BRAZOS    TX   77803      NaN  ...   \n",
       "9          2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "\n",
       "   31. NAICS 5  32. NAICS 6  33. DOC_CTRL_NUM  \\\n",
       "0          NaN          NaN     1319217901255   \n",
       "1          NaN          NaN     1319217901293   \n",
       "2          NaN          NaN     1319217905494   \n",
       "3          NaN          NaN     1319218522365   \n",
       "4          NaN          NaN     1319218266221   \n",
       "5          NaN          NaN     1319217901228   \n",
       "6          NaN          NaN     1319217905456   \n",
       "7          NaN          NaN     1319217901281   \n",
       "8          NaN          NaN     1319218266233   \n",
       "9          NaN          NaN     1319217905470   \n",
       "\n",
       "                                        34. CHEMICAL  \\\n",
       "0                                   HYDROGEN CYANIDE   \n",
       "1                                 VANADIUM COMPOUNDS   \n",
       "2                                     CHLOROTHALONIL   \n",
       "3                          POLYCHLORINATED BIPHENYLS   \n",
       "4                                        FORMIC ACID   \n",
       "5                                            AMMONIA   \n",
       "6                                           BIPHENYL   \n",
       "7  SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...   \n",
       "8                                  HYDROGEN FLUORIDE   \n",
       "9                                           CHLORINE   \n",
       "\n",
       "  35. ELEMENTAL METAL INCLUDED 36. CAS #/COMPOUND ID 37. SRS ID  \\\n",
       "0                           NO             000074908     5140.0   \n",
       "1                           NO                  N770   755389.0   \n",
       "2                           NO             001897456    93971.0   \n",
       "3                           NO             001336363    85878.0   \n",
       "4                           NO             000064186     3830.0   \n",
       "5                           NO             007664417   152389.0   \n",
       "6                           NO             000092524    14183.0   \n",
       "7                           NO             007664939   152405.0   \n",
       "8                           NO             007664393   152371.0   \n",
       "9                           NO             007782505   154328.0   \n",
       "\n",
       "  38. CLEAN AIR ACT CHEMICAL  39. CLASSIFICATION 40. METAL  \n",
       "0                         NO                 TRI        NO  \n",
       "1                         NO                 TRI       YES  \n",
       "2                         NO                 TRI        NO  \n",
       "3                        YES                 PBT        NO  \n",
       "4                         NO                 TRI        NO  \n",
       "5                         NO                 TRI        NO  \n",
       "6                        YES                 TRI        NO  \n",
       "7                         NO                 TRI        NO  \n",
       "8                        YES                 TRI        NO  \n",
       "9                        YES                 TRI        NO  \n",
       "\n",
       "[10 rows x 40 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head(10).iloc[:, : 40]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LEAD                      310\n",
       "METHANOL                  259\n",
       "TOLUENE                   240\n",
       "XYLENE (MIXED ISOMERS)    238\n",
       "ZINC COMPOUNDS            236\n",
       "                         ... \n",
       "DAZOMET                     1\n",
       "4-NITROPHENOL               1\n",
       "BIFENTHRIN                  1\n",
       "HEXABROMOCYCLODODECANE      1\n",
       "3,3'-DICHLOROBENZIDINE      1\n",
       "Name: 34. CHEMICAL, Length: 360, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['34. CHEMICAL'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NO     6068\n",
       "YES    2395\n",
       "Name: 42. CARCINOGEN, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['42. CARCINOGEN'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1. YEAR',\n",
       " '2. TRIFD',\n",
       " '3. FRS ID',\n",
       " '4. FACILITY NAME',\n",
       " '5. STREET ADDRESS',\n",
       " '6. CITY',\n",
       " '7. COUNTY',\n",
       " '8. ST',\n",
       " '9. ZIP',\n",
       " '10. BIA',\n",
       " '11. TRIBE',\n",
       " '12. LATITUDE',\n",
       " '13. LONGITUDE',\n",
       " '14. HORIZONTAL DATUM',\n",
       " '15. PARENT CO NAME',\n",
       " '16. PARENT CO DB NUM',\n",
       " '17. STANDARD PARENT CO NAME',\n",
       " '18. FEDERAL FACILITY',\n",
       " '19. INDUSTRY SECTOR CODE',\n",
       " '20. INDUSTRY SECTOR',\n",
       " '21. PRIMARY SIC',\n",
       " '22. SIC 2',\n",
       " '23. SIC 3',\n",
       " '24. SIC 4',\n",
       " '25. SIC 5',\n",
       " '26. SIC 6',\n",
       " '27. PRIMARY NAICS',\n",
       " '28. NAICS 2',\n",
       " '29. NAICS 3',\n",
       " '30. NAICS 4',\n",
       " '31. NAICS 5',\n",
       " '32. NAICS 6',\n",
       " '33. DOC_CTRL_NUM',\n",
       " '34. CHEMICAL',\n",
       " '35. ELEMENTAL METAL INCLUDED',\n",
       " '36. CAS #/COMPOUND ID',\n",
       " '37. SRS ID',\n",
       " '38. CLEAN AIR ACT CHEMICAL',\n",
       " '39. CLASSIFICATION',\n",
       " '40. METAL',\n",
       " '41. METAL CATEGORY',\n",
       " '42. CARCINOGEN',\n",
       " '43. FORM TYPE',\n",
       " '44. UNIT OF MEASURE',\n",
       " '45. 5.1 - FUGITIVE AIR',\n",
       " '46. 5.2 - STACK AIR',\n",
       " '47. 5.3 - WATER',\n",
       " '48. 5.4 - UNDERGROUND',\n",
       " '49. 5.4.1 - UNDERGROUND CL I',\n",
       " '50. 5.4.2 - UNDERGROUND C II-V',\n",
       " '51. 5.5.1 - LANDFILLS',\n",
       " '52. 5.5.1A - RCRA C LANDFILL',\n",
       " '53. 5.5.1B - OTHER LANDFILLS',\n",
       " '54. 5.5.2 - LAND TREATMENT',\n",
       " '55. 5.5.3 - SURFACE IMPNDMNT',\n",
       " '56. 5.5.3A - RCRA SURFACE IM',\n",
       " '57. 5.5.3B - OTHER SURFACE I',\n",
       " '58. 5.5.4 - OTHER DISPOSAL',\n",
       " '59. ON-SITE RELEASE TOTAL',\n",
       " '60. 6.1 - POTW - TRNS RLSE',\n",
       " '61. 6.1 - POTW - TRNS TRT',\n",
       " '62. POTW - TOTAL TRANSFERS',\n",
       " '63. 6.2 - M10',\n",
       " '64. 6.2 - M41',\n",
       " '65. 6.2 - M62',\n",
       " '66. 6.2 - M40 METAL',\n",
       " '67. 6.2 - M61 METAL',\n",
       " '68. 6.2 - M71',\n",
       " '69. 6.2 - M81',\n",
       " '70. 6.2 - M82',\n",
       " '71. 6.2 - M72',\n",
       " '72. 6.2 - M63',\n",
       " '73. 6.2 - M66',\n",
       " '74. 6.2 - M67',\n",
       " '75. 6.2 - M64',\n",
       " '76. 6.2 - M65',\n",
       " '77. 6.2 - M73',\n",
       " '78. 6.2 - M79',\n",
       " '79. 6.2 - M90',\n",
       " '80. 6.2 - M94',\n",
       " '81. 6.2 - M99',\n",
       " '82. OFF-SITE RELEASE TOTAL',\n",
       " '83. 6.2 - M20',\n",
       " '84. 6.2 - M24',\n",
       " '85. 6.2 - M26',\n",
       " '86. 6.2 - M28',\n",
       " '87 6.2 - M93',\n",
       " '88. OFF-SITE RECYCLED TOTAL',\n",
       " '89. 6.2 - M56',\n",
       " '90. 6.2 - M92',\n",
       " '91. OFF-SITE ENERGY RECOVERY T',\n",
       " '92. 6.2 - M40 NON-METAL',\n",
       " '93. 6.2 - M50',\n",
       " '94. 6.2 - M54',\n",
       " '95. 6.2 - M61 NON-METAL',\n",
       " '96. 6.2 - M69',\n",
       " '97. 6.2 - M95',\n",
       " '98. OFF-SITE TREATED TOTAL',\n",
       " '99. 6.2 - UNCLASSIFIED',\n",
       " '100. 6.2 - TOTAL TRANSFER',\n",
       " '101. TOTAL RELEASES',\n",
       " '102. 8.1 - RELEASES',\n",
       " '103. 8.1A - ON-SITE CONTAINED',\n",
       " '104. 8.1B - ON-SITE OTHER ',\n",
       " '105. 8.1C - OFF-SITE CONTAIN',\n",
       " '106. 8.1D - OFF-SITE OTHER R',\n",
       " '107. 8.2 - ENERGY RECOVER ON',\n",
       " '108. 8.3 - ENERGY RECOVER OF',\n",
       " '109. 8.4 - RECYCLING ON SITE',\n",
       " '110. 8.5 - RECYCLING OFF SIT',\n",
       " '111. 8.6 - TREATMENT ON SITE',\n",
       " '112. 8.7 - TREATMENT OFF SITE',\n",
       " '113. PRODUCTION WSTE (8.1-8.7)',\n",
       " '114. 8.8 - ONE-TIME RELEASE',\n",
       " '115. PROD_RATIO_OR_ ACTIVITY',\n",
       " '116. 8.9 - PRODUCTION RATIO',\n",
       " 'Unnamed: 116']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(df2.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>45. 5.1 - FUGITIVE AIR</th>\n",
       "      <th>46. 5.2 - STACK AIR</th>\n",
       "      <th>47. 5.3 - WATER</th>\n",
       "      <th>48. 5.4 - UNDERGROUND</th>\n",
       "      <th>49. 5.4.1 - UNDERGROUND CL I</th>\n",
       "      <th>50. 5.4.2 - UNDERGROUND C II-V</th>\n",
       "      <th>51. 5.5.1 - LANDFILLS</th>\n",
       "      <th>52. 5.5.1A - RCRA C LANDFILL</th>\n",
       "      <th>53. 5.5.1B - OTHER LANDFILLS</th>\n",
       "      <th>54. 5.5.2 - LAND TREATMENT</th>\n",
       "      <th>55. 5.5.3 - SURFACE IMPNDMNT</th>\n",
       "      <th>56. 5.5.3A - RCRA SURFACE IM</th>\n",
       "      <th>57. 5.5.3B - OTHER SURFACE I</th>\n",
       "      <th>58. 5.5.4 - OTHER DISPOSAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pounds</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>262.570000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pounds</td>\n",
       "      <td>340.2</td>\n",
       "      <td>3901.70</td>\n",
       "      <td>10.150000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3817.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  44. UNIT OF MEASURE  45. 5.1 - FUGITIVE AIR  46. 5.2 - STACK AIR  \\\n",
       "0              Pounds                     0.0                 0.00   \n",
       "1              Pounds                     1.0                 1.00   \n",
       "2              Pounds                   340.2              3901.70   \n",
       "3              Pounds                     0.0                 0.03   \n",
       "4              Pounds                     0.0              3817.00   \n",
       "\n",
       "   47. 5.3 - WATER  48. 5.4 - UNDERGROUND  49. 5.4.1 - UNDERGROUND CL I  \\\n",
       "0         0.000000                      0                           0.0   \n",
       "1       262.570000                      0                           0.0   \n",
       "2        10.150000                      0                           0.0   \n",
       "3         0.000075                      0                           0.0   \n",
       "4         0.000000                      0                           0.0   \n",
       "\n",
       "   50. 5.4.2 - UNDERGROUND C II-V  51. 5.5.1 - LANDFILLS  \\\n",
       "0                             0.0                      0   \n",
       "1                             0.0                      0   \n",
       "2                             0.0                      0   \n",
       "3                             0.0                      0   \n",
       "4                             0.0                      0   \n",
       "\n",
       "   52. 5.5.1A - RCRA C LANDFILL  53. 5.5.1B - OTHER LANDFILLS  \\\n",
       "0                           0.0                           0.0   \n",
       "1                           0.0                           0.0   \n",
       "2                           0.0                           0.0   \n",
       "3                           0.0                           0.0   \n",
       "4                           0.0                           0.0   \n",
       "\n",
       "   54. 5.5.2 - LAND TREATMENT  55. 5.5.3 - SURFACE IMPNDMNT  \\\n",
       "0                         0.0                             0   \n",
       "1                         0.0                             0   \n",
       "2                         0.0                             0   \n",
       "3                         0.0                             0   \n",
       "4                         0.0                             0   \n",
       "\n",
       "   56. 5.5.3A - RCRA SURFACE IM  57. 5.5.3B - OTHER SURFACE I  \\\n",
       "0                             0                           0.0   \n",
       "1                             0                           0.0   \n",
       "2                             0                           0.0   \n",
       "3                             0                           0.0   \n",
       "4                             0                           0.0   \n",
       "\n",
       "   58. 5.5.4 - OTHER DISPOSAL  \n",
       "0                         0.0  \n",
       "1                         0.0  \n",
       "2                         0.0  \n",
       "3                         0.0  \n",
       "4                         0.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head().iloc[:, 43 : 58]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Dataframe with Just Carcinogens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Isolate releases of carcinogens \n",
    "df_carc = df2[df2['42. CARCINOGEN'] == 'YES']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1. YEAR</th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>3. FRS ID</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>7. COUNTY</th>\n",
       "      <th>8. ST</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>10. BIA</th>\n",
       "      <th>...</th>\n",
       "      <th>108. 8.3 - ENERGY RECOVER OF</th>\n",
       "      <th>109. 8.4 - RECYCLING ON SITE</th>\n",
       "      <th>110. 8.5 - RECYCLING OFF SIT</th>\n",
       "      <th>111. 8.6 - TREATMENT ON SITE</th>\n",
       "      <th>112. 8.7 - TREATMENT OFF SITE</th>\n",
       "      <th>113. PRODUCTION WSTE (8.1-8.7)</th>\n",
       "      <th>114. 8.8 - ONE-TIME RELEASE</th>\n",
       "      <th>115. PROD_RATIO_OR_ ACTIVITY</th>\n",
       "      <th>116. 8.9 - PRODUCTION RATIO</th>\n",
       "      <th>Unnamed: 116</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16296.0</td>\n",
       "      <td>1152.600000</td>\n",
       "      <td>224239.100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.004000</td>\n",
       "      <td>2.171075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1257.3</td>\n",
       "      <td>170.110000</td>\n",
       "      <td>3683.977000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>570.906368</td>\n",
       "      <td>855.202554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1590.9</td>\n",
       "      <td>109.870000</td>\n",
       "      <td>9245.767230</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 117 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    1. YEAR         2. TRIFD     3. FRS ID    4. FACILITY NAME  \\\n",
       "2      2019  77015FRMNT2239H  110000460965  GB BIOSCIENCES LLC   \n",
       "3      2019  77015FRMNT2239H  110000460965  GB BIOSCIENCES LLC   \n",
       "10     2019  77015FRMNT2239H  110000460965  GB BIOSCIENCES LLC   \n",
       "14     2019  77015FRMNT2239H  110000460965  GB BIOSCIENCES LLC   \n",
       "15     2019  77015FRMNT2239H  110000460965  GB BIOSCIENCES LLC   \n",
       "\n",
       "   5. STREET ADDRESS  6. CITY 7. COUNTY 8. ST  9. ZIP  10. BIA  ...  \\\n",
       "2      2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "3      2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "10     2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "14     2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "15     2239 HADEN RD  HOUSTON    HARRIS    TX   77015      NaN  ...   \n",
       "\n",
       "    108. 8.3 - ENERGY RECOVER OF  109. 8.4 - RECYCLING ON SITE  \\\n",
       "2                            0.0                           0.0   \n",
       "3                            0.0                           0.0   \n",
       "10                           0.0                           0.0   \n",
       "14                           0.0                           0.0   \n",
       "15                           0.0                           0.0   \n",
       "\n",
       "    110. 8.5 - RECYCLING OFF SIT 111. 8.6 - TREATMENT ON SITE  \\\n",
       "2                            0.0                      16296.0   \n",
       "3                            0.0                          0.0   \n",
       "10                           0.0                       1257.3   \n",
       "14                           0.0                          0.0   \n",
       "15                           0.0                       1590.9   \n",
       "\n",
       "   112. 8.7 - TREATMENT OFF SITE 113. PRODUCTION WSTE (8.1-8.7)  \\\n",
       "2                    1152.600000                  224239.100000   \n",
       "3                       0.004000                       2.171075   \n",
       "10                    170.110000                    3683.977000   \n",
       "14                    570.906368                     855.202554   \n",
       "15                    109.870000                    9245.767230   \n",
       "\n",
       "   114. 8.8 - ONE-TIME RELEASE 115. PROD_RATIO_OR_ ACTIVITY  \\\n",
       "2                          NaN                   PRODUCTION   \n",
       "3                          NaN                   PRODUCTION   \n",
       "10                         NaN                   PRODUCTION   \n",
       "14                         NaN                   PRODUCTION   \n",
       "15                         NaN                   PRODUCTION   \n",
       "\n",
       "    116. 8.9 - PRODUCTION RATIO Unnamed: 116  \n",
       "2                          1.22          NaN  \n",
       "3                          1.22          NaN  \n",
       "10                         1.22          NaN  \n",
       "14                         1.22          NaN  \n",
       "15                         1.22          NaN  \n",
       "\n",
       "[5 rows x 117 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_carc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>82. OFF-SITE RELEASE TOTAL</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>203.100</td>\n",
       "      <td>203.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13130.440</td>\n",
       "      <td>13395.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>202538.450</td>\n",
       "      <td>206790.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.137</td>\n",
       "      <td>2.167075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000</td>\n",
       "      <td>3817.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8458</th>\n",
       "      <td>0.000</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8459</th>\n",
       "      <td>0.000</td>\n",
       "      <td>5482.287000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8460</th>\n",
       "      <td>0.000</td>\n",
       "      <td>0.047000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8461</th>\n",
       "      <td>0.000</td>\n",
       "      <td>2486.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8462</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1530.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8463 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      82. OFF-SITE RELEASE TOTAL  101. TOTAL RELEASES\n",
       "0                        203.100           203.100000\n",
       "1                      13130.440         13395.010000\n",
       "2                     202538.450        206790.500000\n",
       "3                          2.137             2.167075\n",
       "4                          0.000          3817.000000\n",
       "...                          ...                  ...\n",
       "8458                       0.000            76.000000\n",
       "8459                       0.000          5482.287000\n",
       "8460                       0.000             0.047000\n",
       "8461                       0.000          2486.000000\n",
       "8462                       0.000          1530.000000\n",
       "\n",
       "[8463 rows x 2 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check the difference between off-site release total and total releases\n",
    "df2[['82. OFF-SITE RELEASE TOTAL', '101. TOTAL RELEASES']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Make new df with just the columns needed\n",
    "df_tri = df_carc.filter(['2. TRIFD', '4. FACILITY NAME', '5. STREET ADDRESS', '6. CITY', '9. ZIP', '12. LATITUDE', '13. LONGITUDE', '15. PARENT CO NAME', '34. CHEMICAL', '38. CLEAN AIR ACT CHEMICAL', '42. CARCINOGEN', '44. UNIT OF MEASURE', '101. TOTAL RELEASES'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
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       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>206790.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
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       "      <td>77015</td>\n",
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       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>POLYCHLORINATED BIPHENYLS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2.167075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CARBON TETRACHLORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2256.567000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>DIOXIN AND DIOXIN-LIKE COMPOUNDS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Grams</td>\n",
       "      <td>284.296186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HEXACHLOROBENZENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>7544.997230</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           2. TRIFD    4. FACILITY NAME 5. STREET ADDRESS  6. CITY  9. ZIP  \\\n",
       "2   77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON   77015   \n",
       "3   77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON   77015   \n",
       "10  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON   77015   \n",
       "14  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON   77015   \n",
       "15  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON   77015   \n",
       "\n",
       "    12. LATITUDE  13. LONGITUDE 15. PARENT CO NAME  \\\n",
       "2        29.7625     -95.171389      SYNGENTA CORP   \n",
       "3        29.7625     -95.171389      SYNGENTA CORP   \n",
       "10       29.7625     -95.171389      SYNGENTA CORP   \n",
       "14       29.7625     -95.171389      SYNGENTA CORP   \n",
       "15       29.7625     -95.171389      SYNGENTA CORP   \n",
       "\n",
       "                        34. CHEMICAL 38. CLEAN AIR ACT CHEMICAL  \\\n",
       "2                     CHLOROTHALONIL                         NO   \n",
       "3          POLYCHLORINATED BIPHENYLS                        YES   \n",
       "10              CARBON TETRACHLORIDE                        YES   \n",
       "14  DIOXIN AND DIOXIN-LIKE COMPOUNDS                        YES   \n",
       "15                 HEXACHLOROBENZENE                        YES   \n",
       "\n",
       "   42. CARCINOGEN 44. UNIT OF MEASURE  101. TOTAL RELEASES  \n",
       "2             YES              Pounds        206790.500000  \n",
       "3             YES              Pounds             2.167075  \n",
       "10            YES              Pounds          2256.567000  \n",
       "14            YES               Grams           284.296186  \n",
       "15            YES              Pounds          7544.997230  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tri.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pounds    2325\n",
       "Grams       70\n",
       "Name: 44. UNIT OF MEASURE, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tri['44. UNIT OF MEASURE'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14      284.296186\n",
       "124       4.114034\n",
       "205       0.000534\n",
       "484       0.001578\n",
       "723       0.000612\n",
       "           ...    \n",
       "8092      0.000000\n",
       "8134      0.156852\n",
       "8195      1.010900\n",
       "8279      0.321800\n",
       "8381      0.895200\n",
       "Name: 101. TOTAL RELEASES, Length: 70, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Isolate Grams from the dataset\n",
    "df_tri.loc[df_tri['44. UNIT OF MEASURE'] == 'Grams', '101. TOTAL RELEASES']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Convert grams to pounds\n",
    "df_tri.loc[df_tri['44. UNIT OF MEASURE'] == 'Grams', '101. TOTAL RELEASES'] = df_tri['101. TOTAL RELEASES'] * 0.00220462"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>206790.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>POLYCHLORINATED BIPHENYLS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2.167075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CARBON TETRACHLORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2256.567000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>DIOXIN AND DIOXIN-LIKE COMPOUNDS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Grams</td>\n",
       "      <td>0.626765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HEXACHLOROBENZENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>7544.997230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>7932WNLCDN241NR</td>\n",
       "      <td>NALCO CO - DENVER CITY</td>\n",
       "      <td>2410 N HWY 214</td>\n",
       "      <td>DENVER CITY</td>\n",
       "      <td>79323</td>\n",
       "      <td>33.035509</td>\n",
       "      <td>-102.819444</td>\n",
       "      <td>ECOLAB INC</td>\n",
       "      <td>ETHYLBENZENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>7932WNLCDN241NR</td>\n",
       "      <td>NALCO CO - DENVER CITY</td>\n",
       "      <td>2410 N HWY 214</td>\n",
       "      <td>DENVER CITY</td>\n",
       "      <td>79323</td>\n",
       "      <td>33.035509</td>\n",
       "      <td>-102.819444</td>\n",
       "      <td>ECOLAB INC</td>\n",
       "      <td>NAPHTHALENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>77053CSSPR14211</td>\n",
       "      <td>AMACS PROCESS TOWER INTERNALS</td>\n",
       "      <td>14211 INDUSTRY RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77053</td>\n",
       "      <td>29.602311</td>\n",
       "      <td>-95.426238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NICKEL</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>72.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>77833PCMPN350LO</td>\n",
       "      <td>P I COMPONENTS</td>\n",
       "      <td>1951 HWY 290 W</td>\n",
       "      <td>BRENHAM</td>\n",
       "      <td>77833</td>\n",
       "      <td>30.159760</td>\n",
       "      <td>-96.422680</td>\n",
       "      <td>EMERSON ELECTRIC CO</td>\n",
       "      <td>NICKEL</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>77053CSSPR14211</td>\n",
       "      <td>AMACS PROCESS TOWER INTERNALS</td>\n",
       "      <td>14211 INDUSTRY RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77053</td>\n",
       "      <td>29.602311</td>\n",
       "      <td>-95.426238</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LEAD</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>76106SYNTH510EC</td>\n",
       "      <td>VALTRIS SPECIALTY CHEMICALS</td>\n",
       "      <td>510 E CENTRAL AVE</td>\n",
       "      <td>FORT WORTH</td>\n",
       "      <td>76164</td>\n",
       "      <td>32.782778</td>\n",
       "      <td>-97.344167</td>\n",
       "      <td>POLYMER ADDITIVES INC.</td>\n",
       "      <td>NICKEL</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>15.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>76010LNSPP120FA</td>\n",
       "      <td>LANE SUPPLY INC</td>\n",
       "      <td>120 FAIRVIEW DR</td>\n",
       "      <td>ARLINGTON</td>\n",
       "      <td>76010</td>\n",
       "      <td>32.736970</td>\n",
       "      <td>-97.085480</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NICKEL</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.555000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>75859TXPSL2MILE</td>\n",
       "      <td>ARCOSA LWS LLC STREETMAN TX</td>\n",
       "      <td>1 1/2 MILE N ON I-45</td>\n",
       "      <td>STREETMAN</td>\n",
       "      <td>75859</td>\n",
       "      <td>31.863760</td>\n",
       "      <td>-96.318890</td>\n",
       "      <td>ARCOSA INC</td>\n",
       "      <td>POLYCYCLIC AROMATIC COMPOUNDS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.027470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>77541NLCCHPODRA</td>\n",
       "      <td>NALCO CHAMPION FREEPORT</td>\n",
       "      <td>2322 COUNTY RD 229</td>\n",
       "      <td>FREEPORT</td>\n",
       "      <td>77541</td>\n",
       "      <td>28.957800</td>\n",
       "      <td>-95.335000</td>\n",
       "      <td>ECOLAB INC</td>\n",
       "      <td>TOLUENE DIISOCYANATE (MIXED ISOMERS)</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>77541NLCCHPODRA</td>\n",
       "      <td>NALCO CHAMPION FREEPORT</td>\n",
       "      <td>2322 COUNTY RD 229</td>\n",
       "      <td>FREEPORT</td>\n",
       "      <td>77541</td>\n",
       "      <td>28.957800</td>\n",
       "      <td>-95.335000</td>\n",
       "      <td>ECOLAB INC</td>\n",
       "      <td>ETHYLBENZENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>5.690000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           2. TRIFD               4. FACILITY NAME     5. STREET ADDRESS  \\\n",
       "2   77015FRMNT2239H             GB BIOSCIENCES LLC         2239 HADEN RD   \n",
       "3   77015FRMNT2239H             GB BIOSCIENCES LLC         2239 HADEN RD   \n",
       "10  77015FRMNT2239H             GB BIOSCIENCES LLC         2239 HADEN RD   \n",
       "14  77015FRMNT2239H             GB BIOSCIENCES LLC         2239 HADEN RD   \n",
       "15  77015FRMNT2239H             GB BIOSCIENCES LLC         2239 HADEN RD   \n",
       "27  7932WNLCDN241NR         NALCO CO - DENVER CITY        2410 N HWY 214   \n",
       "30  7932WNLCDN241NR         NALCO CO - DENVER CITY        2410 N HWY 214   \n",
       "32  77053CSSPR14211  AMACS PROCESS TOWER INTERNALS     14211 INDUSTRY RD   \n",
       "33  77833PCMPN350LO                 P I COMPONENTS        1951 HWY 290 W   \n",
       "34  77053CSSPR14211  AMACS PROCESS TOWER INTERNALS     14211 INDUSTRY RD   \n",
       "40  76106SYNTH510EC    VALTRIS SPECIALTY CHEMICALS     510 E CENTRAL AVE   \n",
       "46  76010LNSPP120FA                LANE SUPPLY INC       120 FAIRVIEW DR   \n",
       "57  75859TXPSL2MILE    ARCOSA LWS LLC STREETMAN TX  1 1/2 MILE N ON I-45   \n",
       "60  77541NLCCHPODRA        NALCO CHAMPION FREEPORT    2322 COUNTY RD 229   \n",
       "61  77541NLCCHPODRA        NALCO CHAMPION FREEPORT    2322 COUNTY RD 229   \n",
       "\n",
       "        6. CITY  9. ZIP  12. LATITUDE  13. LONGITUDE      15. PARENT CO NAME  \\\n",
       "2       HOUSTON   77015     29.762500     -95.171389           SYNGENTA CORP   \n",
       "3       HOUSTON   77015     29.762500     -95.171389           SYNGENTA CORP   \n",
       "10      HOUSTON   77015     29.762500     -95.171389           SYNGENTA CORP   \n",
       "14      HOUSTON   77015     29.762500     -95.171389           SYNGENTA CORP   \n",
       "15      HOUSTON   77015     29.762500     -95.171389           SYNGENTA CORP   \n",
       "27  DENVER CITY   79323     33.035509    -102.819444              ECOLAB INC   \n",
       "30  DENVER CITY   79323     33.035509    -102.819444              ECOLAB INC   \n",
       "32      HOUSTON   77053     29.602311     -95.426238                     NaN   \n",
       "33      BRENHAM   77833     30.159760     -96.422680     EMERSON ELECTRIC CO   \n",
       "34      HOUSTON   77053     29.602311     -95.426238                     NaN   \n",
       "40   FORT WORTH   76164     32.782778     -97.344167  POLYMER ADDITIVES INC.   \n",
       "46    ARLINGTON   76010     32.736970     -97.085480                     NaN   \n",
       "57    STREETMAN   75859     31.863760     -96.318890              ARCOSA INC   \n",
       "60     FREEPORT   77541     28.957800     -95.335000              ECOLAB INC   \n",
       "61     FREEPORT   77541     28.957800     -95.335000              ECOLAB INC   \n",
       "\n",
       "                            34. CHEMICAL 38. CLEAN AIR ACT CHEMICAL  \\\n",
       "2                         CHLOROTHALONIL                         NO   \n",
       "3              POLYCHLORINATED BIPHENYLS                        YES   \n",
       "10                  CARBON TETRACHLORIDE                        YES   \n",
       "14      DIOXIN AND DIOXIN-LIKE COMPOUNDS                        YES   \n",
       "15                     HEXACHLOROBENZENE                        YES   \n",
       "27                          ETHYLBENZENE                        YES   \n",
       "30                           NAPHTHALENE                        YES   \n",
       "32                                NICKEL                        YES   \n",
       "33                                NICKEL                        YES   \n",
       "34                                  LEAD                        YES   \n",
       "40                                NICKEL                        YES   \n",
       "46                                NICKEL                        YES   \n",
       "57         POLYCYCLIC AROMATIC COMPOUNDS                        YES   \n",
       "60  TOLUENE DIISOCYANATE (MIXED ISOMERS)                         NO   \n",
       "61                          ETHYLBENZENE                        YES   \n",
       "\n",
       "   42. CARCINOGEN 44. UNIT OF MEASURE  101. TOTAL RELEASES  \n",
       "2             YES              Pounds        206790.500000  \n",
       "3             YES              Pounds             2.167075  \n",
       "10            YES              Pounds          2256.567000  \n",
       "14            YES               Grams             0.626765  \n",
       "15            YES              Pounds          7544.997230  \n",
       "27            YES              Pounds             0.000000  \n",
       "30            YES              Pounds             0.000000  \n",
       "32            YES              Pounds            72.000000  \n",
       "33            YES              Pounds             0.000000  \n",
       "34            YES              Pounds             0.000000  \n",
       "40            YES              Pounds            15.010000  \n",
       "46            YES              Pounds             0.555000  \n",
       "57            YES              Pounds             0.027470  \n",
       "60            YES              Pounds             0.000000  \n",
       "61            YES              Pounds             5.690000  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tri.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "      <th>ZIP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [2. TRIFD, 4. FACILITY NAME, 5. STREET ADDRESS, 6. CITY, 9. ZIP, 12. LATITUDE, 13. LONGITUDE, 15. PARENT CO NAME, 34. CHEMICAL, 38. CLEAN AIR ACT CHEMICAL, 42. CARCINOGEN, 44. UNIT OF MEASURE, 101. TOTAL RELEASES, ZIP]\n",
       "Index: []"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tri[df_tri['34. CHEMICAL'] == 'NITRATE COMPOUNDS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "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>34. CHEMICAL</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACRYLAMIDE</td>\n",
       "      <td>4.012805e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>STYRENE</td>\n",
       "      <td>3.637024e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACRYLONITRILE</td>\n",
       "      <td>3.543263e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>2.208114e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ETHYLBENZENE</td>\n",
       "      <td>1.460328e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     34. CHEMICAL  101. TOTAL RELEASES\n",
       "0      ACRYLAMIDE         4.012805e+06\n",
       "1         STYRENE         3.637024e+06\n",
       "2   ACRYLONITRILE         3.543263e+06\n",
       "3  CHLOROTHALONIL         2.208114e+06\n",
       "4    ETHYLBENZENE         1.460328e+06"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create dataframe of carinogens and amount released\n",
    "df_top_carc = df_tri.groupby('34. CHEMICAL')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()\n",
    "df_top_carc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_top_carc = df_top_carc.rename(columns={'34. CHEMICAL':'CHEMICAL',\n",
    "                                                        '101. TOTAL RELEASES':'TOTAL RELEASES'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(15,8))\n",
    "ax = sns.barplot(x='TOTAL RELEASES', y='CHEMICAL', data=df_top_carc.head(10)).set_title('Top 10 Most Released Carcinogens in Texas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Change ZIP codes to make them all 5 digits\n",
    "#Change ZIP codes to string type\n",
    "df_tri['9. ZIP'] = df_tri['9. ZIP'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create new column with ZIP codes with only the first 5 digits\n",
    "df_tri['ZIP'] = df_tri['9. ZIP'].str[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "      <th>ZIP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [2. TRIFD, 4. FACILITY NAME, 5. STREET ADDRESS, 6. CITY, 9. ZIP, 12. LATITUDE, 13. LONGITUDE, 15. PARENT CO NAME, 34. CHEMICAL, 38. CLEAN AIR ACT CHEMICAL, 42. CARCINOGEN, 44. UNIT OF MEASURE, 101. TOTAL RELEASES, ZIP]\n",
       "Index: []"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking to see if it worked\n",
    "df_tri[df_tri['ZIP'] == 775110000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hoverlabel": {
          "namelength": 0
         },
         "hovertemplate": "12. LATITUDE=%{lat}<br>13. LONGITUDE=%{lon}<br>101. TOTAL RELEASES=%{marker.color}",
         "lat": [
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       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('5da9ad14-dbf1-4237-b25c-a1cb325f0f8a');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "default_public_token = ''\n",
    "px.set_mapbox_access_token(default_public_token)\n",
    "fig = px.scatter_mapbox(df_tri,\n",
    "                        lat=\"12. LATITUDE\",\n",
    "                        lon=\"13. LONGITUDE\",\n",
    "                        color=\"101. TOTAL RELEASES\",  \n",
    "                        range_color=[0, 10000])\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create new dataset with just ZIP codes and total releases\n",
    "df_zip_tr = df_tri.groupby('ZIP')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>ZIP</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ZIP  101. TOTAL RELEASES\n",
       "0  77511         4.881777e+06\n",
       "1  77979         3.529298e+06\n",
       "2  77536         3.511945e+06\n",
       "3  77530         1.386491e+06\n",
       "4  78380         1.007567e+06"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_zip_tr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Export Toxic Release dataset\n",
    "df_zip_tr.to_csv(r'/total_releases_per_zipcode.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create dataframe that includes all chemicals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROGEN CYANIDE</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>203.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>VANADIUM COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>13395.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>206790.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>POLYCHLORINATED BIPHENYLS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2.167075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>77803</td>\n",
       "      <td>30.66018</td>\n",
       "      <td>-96.408140</td>\n",
       "      <td>SAINT-GOBAIN CORP</td>\n",
       "      <td>FORMIC ACID</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>3817.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>AMMONIA</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>125844.782000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>BIPHENYL</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>606.660000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>77803</td>\n",
       "      <td>30.66018</td>\n",
       "      <td>-96.408140</td>\n",
       "      <td>SAINT-GOBAIN CORP</td>\n",
       "      <td>HYDROGEN FLUORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>1113.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLORINE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>14045.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CARBON TETRACHLORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2256.567000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>M-XYLENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>10808.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROCHLORIC ACID (1995 AND AFTER ACID AEROSOL...</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>9069.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>ZINC COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>DIOXIN AND DIOXIN-LIKE COMPOUNDS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Grams</td>\n",
       "      <td>284.296186</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           2. TRIFD     4. FACILITY NAME      5. STREET ADDRESS  6. CITY  \\\n",
       "0   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "1   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "2   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "3   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "4   77803NRTNC1500I  SAINT-GOBAIN NORPRO  1500 INDEPENDENCE AVE    BRYAN   \n",
       "5   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "6   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "7   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "8   77803NRTNC1500I  SAINT-GOBAIN NORPRO  1500 INDEPENDENCE AVE    BRYAN   \n",
       "9   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "10  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "11  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "12  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "13  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "14  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "\n",
       "    9. ZIP  12. LATITUDE  13. LONGITUDE 15. PARENT CO NAME  \\\n",
       "0    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "1    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "2    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "3    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "4    77803      30.66018     -96.408140  SAINT-GOBAIN CORP   \n",
       "5    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "6    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "7    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "8    77803      30.66018     -96.408140  SAINT-GOBAIN CORP   \n",
       "9    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "10   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "11   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "12   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "13   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "14   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "\n",
       "                                         34. CHEMICAL  \\\n",
       "0                                    HYDROGEN CYANIDE   \n",
       "1                                  VANADIUM COMPOUNDS   \n",
       "2                                      CHLOROTHALONIL   \n",
       "3                           POLYCHLORINATED BIPHENYLS   \n",
       "4                                         FORMIC ACID   \n",
       "5                                             AMMONIA   \n",
       "6                                            BIPHENYL   \n",
       "7   SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...   \n",
       "8                                   HYDROGEN FLUORIDE   \n",
       "9                                            CHLORINE   \n",
       "10                               CARBON TETRACHLORIDE   \n",
       "11                                           M-XYLENE   \n",
       "12  HYDROCHLORIC ACID (1995 AND AFTER ACID AEROSOL...   \n",
       "13                                     ZINC COMPOUNDS   \n",
       "14                   DIOXIN AND DIOXIN-LIKE COMPOUNDS   \n",
       "\n",
       "   38. CLEAN AIR ACT CHEMICAL 42. CARCINOGEN 44. UNIT OF MEASURE  \\\n",
       "0                          NO             NO              Pounds   \n",
       "1                          NO             NO              Pounds   \n",
       "2                          NO            YES              Pounds   \n",
       "3                         YES            YES              Pounds   \n",
       "4                          NO             NO              Pounds   \n",
       "5                          NO             NO              Pounds   \n",
       "6                         YES             NO              Pounds   \n",
       "7                          NO             NO              Pounds   \n",
       "8                         YES             NO              Pounds   \n",
       "9                         YES             NO              Pounds   \n",
       "10                        YES            YES              Pounds   \n",
       "11                        YES             NO              Pounds   \n",
       "12                        YES             NO              Pounds   \n",
       "13                         NO             NO              Pounds   \n",
       "14                        YES            YES               Grams   \n",
       "\n",
       "    101. TOTAL RELEASES  \n",
       "0            203.100000  \n",
       "1          13395.010000  \n",
       "2         206790.500000  \n",
       "3              2.167075  \n",
       "4           3817.000000  \n",
       "5         125844.782000  \n",
       "6            606.660000  \n",
       "7              0.000000  \n",
       "8           1113.000000  \n",
       "9          14045.000000  \n",
       "10          2256.567000  \n",
       "11         10808.010000  \n",
       "12          9069.000000  \n",
       "13             0.000000  \n",
       "14           284.296186  "
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_chem = df2.filter(['2. TRIFD', '4. FACILITY NAME', '5. STREET ADDRESS', '6. CITY', '9. ZIP', '12. LATITUDE', '13. LONGITUDE', '15. PARENT CO NAME', '34. CHEMICAL', '38. CLEAN AIR ACT CHEMICAL', '42. CARCINOGEN', '44. UNIT OF MEASURE', '101. TOTAL RELEASES'], axis=1)\n",
    "df_chem.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROGEN CYANIDE</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>203.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>VANADIUM COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>13395.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>206790.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>POLYCHLORINATED BIPHENYLS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2.167075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>77803</td>\n",
       "      <td>30.66018</td>\n",
       "      <td>-96.408140</td>\n",
       "      <td>SAINT-GOBAIN CORP</td>\n",
       "      <td>FORMIC ACID</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>3817.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>AMMONIA</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>125844.782000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>BIPHENYL</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>606.660000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>77803</td>\n",
       "      <td>30.66018</td>\n",
       "      <td>-96.408140</td>\n",
       "      <td>SAINT-GOBAIN CORP</td>\n",
       "      <td>HYDROGEN FLUORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>1113.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLORINE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>14045.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CARBON TETRACHLORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2256.567000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>M-XYLENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>10808.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROCHLORIC ACID (1995 AND AFTER ACID AEROSOL...</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>9069.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>ZINC COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>DIOXIN AND DIOXIN-LIKE COMPOUNDS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Grams</td>\n",
       "      <td>0.626765</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           2. TRIFD     4. FACILITY NAME      5. STREET ADDRESS  6. CITY  \\\n",
       "0   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "1   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "2   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "3   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "4   77803NRTNC1500I  SAINT-GOBAIN NORPRO  1500 INDEPENDENCE AVE    BRYAN   \n",
       "5   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "6   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "7   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "8   77803NRTNC1500I  SAINT-GOBAIN NORPRO  1500 INDEPENDENCE AVE    BRYAN   \n",
       "9   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "10  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "11  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "12  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "13  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "14  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "\n",
       "    9. ZIP  12. LATITUDE  13. LONGITUDE 15. PARENT CO NAME  \\\n",
       "0    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "1    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "2    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "3    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "4    77803      30.66018     -96.408140  SAINT-GOBAIN CORP   \n",
       "5    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "6    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "7    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "8    77803      30.66018     -96.408140  SAINT-GOBAIN CORP   \n",
       "9    77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "10   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "11   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "12   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "13   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "14   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "\n",
       "                                         34. CHEMICAL  \\\n",
       "0                                    HYDROGEN CYANIDE   \n",
       "1                                  VANADIUM COMPOUNDS   \n",
       "2                                      CHLOROTHALONIL   \n",
       "3                           POLYCHLORINATED BIPHENYLS   \n",
       "4                                         FORMIC ACID   \n",
       "5                                             AMMONIA   \n",
       "6                                            BIPHENYL   \n",
       "7   SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...   \n",
       "8                                   HYDROGEN FLUORIDE   \n",
       "9                                            CHLORINE   \n",
       "10                               CARBON TETRACHLORIDE   \n",
       "11                                           M-XYLENE   \n",
       "12  HYDROCHLORIC ACID (1995 AND AFTER ACID AEROSOL...   \n",
       "13                                     ZINC COMPOUNDS   \n",
       "14                   DIOXIN AND DIOXIN-LIKE COMPOUNDS   \n",
       "\n",
       "   38. CLEAN AIR ACT CHEMICAL 42. CARCINOGEN 44. UNIT OF MEASURE  \\\n",
       "0                          NO             NO              Pounds   \n",
       "1                          NO             NO              Pounds   \n",
       "2                          NO            YES              Pounds   \n",
       "3                         YES            YES              Pounds   \n",
       "4                          NO             NO              Pounds   \n",
       "5                          NO             NO              Pounds   \n",
       "6                         YES             NO              Pounds   \n",
       "7                          NO             NO              Pounds   \n",
       "8                         YES             NO              Pounds   \n",
       "9                         YES             NO              Pounds   \n",
       "10                        YES            YES              Pounds   \n",
       "11                        YES             NO              Pounds   \n",
       "12                        YES             NO              Pounds   \n",
       "13                         NO             NO              Pounds   \n",
       "14                        YES            YES               Grams   \n",
       "\n",
       "    101. TOTAL RELEASES  \n",
       "0            203.100000  \n",
       "1          13395.010000  \n",
       "2         206790.500000  \n",
       "3              2.167075  \n",
       "4           3817.000000  \n",
       "5         125844.782000  \n",
       "6            606.660000  \n",
       "7              0.000000  \n",
       "8           1113.000000  \n",
       "9          14045.000000  \n",
       "10          2256.567000  \n",
       "11         10808.010000  \n",
       "12          9069.000000  \n",
       "13             0.000000  \n",
       "14             0.626765  "
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Convert grams to pounds\n",
    "df_chem.loc[df_chem['44. UNIT OF MEASURE'] == 'Grams', '101. TOTAL RELEASES'] = df_chem['101. TOTAL RELEASES'] * 0.00220462\n",
    "df_chem.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "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>34. CHEMICAL</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>METHANOL</td>\n",
       "      <td>2.409574e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AMMONIA</td>\n",
       "      <td>2.264439e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NITRATE COMPOUNDS</td>\n",
       "      <td>2.137881e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ETHYLENE</td>\n",
       "      <td>8.424783e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BARIUM COMPOUNDS</td>\n",
       "      <td>7.399518e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        34. CHEMICAL  101. TOTAL RELEASES\n",
       "0           METHANOL         2.409574e+07\n",
       "1            AMMONIA         2.264439e+07\n",
       "2  NITRATE COMPOUNDS         2.137881e+07\n",
       "3           ETHYLENE         8.424783e+06\n",
       "4   BARIUM COMPOUNDS         7.399518e+06"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create dataframe with Chemicals and Total Releases\n",
    "df_chem_names = df_chem.groupby('34. CHEMICAL')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()\n",
    "df_chem_names.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_chem_names = df_chem_names.rename(columns={'34. CHEMICAL':'CHEMICAL',\n",
    "                                                        '101. TOTAL RELEASES':'TOTAL RELEASES'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Top 10 Most Released Chemicals in Texas')"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='TOTAL RELEASES', y='CHEMICAL', data=df_chem_names.head(10)).set_title('Top 10 Most Released Chemicals in Texas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "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>15. PARENT CO NAME</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASCEND PERFORMANCE MATERIALS HOLDINGS INC</td>\n",
       "      <td>1.914365e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TEXAS MOLECULAR LP</td>\n",
       "      <td>1.353056e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>INEOS USA LLC</td>\n",
       "      <td>1.121943e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LYONDELLBASELL INDUSTRIES</td>\n",
       "      <td>6.803739e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EXXON MOBIL CORP</td>\n",
       "      <td>6.587041e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          15. PARENT CO NAME  101. TOTAL RELEASES\n",
       "0  ASCEND PERFORMANCE MATERIALS HOLDINGS INC         1.914365e+07\n",
       "1                         TEXAS MOLECULAR LP         1.353056e+07\n",
       "2                              INEOS USA LLC         1.121943e+07\n",
       "3                  LYONDELLBASELL INDUSTRIES         6.803739e+06\n",
       "4                           EXXON MOBIL CORP         6.587041e+06"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create new dataframe with Parent Company and Total Releases\n",
    "df_texas_parent_co = df_chem.groupby('15. PARENT CO NAME')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()\n",
    "df_texas_parent_co.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_texas_parent_co = df_texas_parent_co.rename(columns={'15. PARENT CO NAME':'PARENT CO NAME',\n",
    "                                                        '101. TOTAL RELEASES':'TOTAL RELEASES'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Top 10 Companies in Texas with Most Toxic Releases')"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='TOTAL RELEASES', y='PARENT CO NAME', data=df_texas_parent_co.head(10)).set_title('Top 10 Companies in Texas with Most Toxic Releases')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Change ZIP codes to make them all 5 digits\n",
    "#Change ZIP codes to string type\n",
    "df_chem['9. ZIP'] = df_chem['9. ZIP'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create new column with ZIP codes with only the first 5 digits\n",
    "df_chem['ZIP'] = df_chem['9. ZIP'].str[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "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>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "      <th>ZIP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [2. TRIFD, 4. FACILITY NAME, 5. STREET ADDRESS, 6. CITY, 9. ZIP, 12. LATITUDE, 13. LONGITUDE, 15. PARENT CO NAME, 34. CHEMICAL, 38. CLEAN AIR ACT CHEMICAL, 42. CARCINOGEN, 44. UNIT OF MEASURE, 101. TOTAL RELEASES, ZIP]\n",
       "Index: []"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking to see if it worked\n",
    "df_chem[df_chem['ZIP'] == 775110000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "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>ZIP</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>1.979512e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77536</td>\n",
       "      <td>1.593846e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77979</td>\n",
       "      <td>1.059076e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77590</td>\n",
       "      <td>8.548026e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77571</td>\n",
       "      <td>7.254232e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ZIP  101. TOTAL RELEASES\n",
       "0  77511         1.979512e+07\n",
       "1  77536         1.593846e+07\n",
       "2  77979         1.059076e+07\n",
       "3  77590         8.548026e+06\n",
       "4  77571         7.254232e+06"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create new dataset with just ZIP codes and total releases\n",
    "df_zip_chem = df_chem.groupby('ZIP')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()\n",
    "df_zip_chem.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Export Toxic Release dataset that contains all chemicals, not just carcinogens\n",
    "df_zip_chem.to_csv(r'/all_chem_per_zipcode.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Dataframe with Most Poluted Counties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "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>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>7. COUNTY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROGEN CYANIDE</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>203.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>VANADIUM COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>13395.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>206790.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.762500</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>POLYCHLORINATED BIPHENYLS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2.167075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>BRAZOS</td>\n",
       "      <td>77803</td>\n",
       "      <td>30.660180</td>\n",
       "      <td>-96.408140</td>\n",
       "      <td>SAINT-GOBAIN CORP</td>\n",
       "      <td>FORMIC ACID</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>3817.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8458</th>\n",
       "      <td>77507KNKTX6161U</td>\n",
       "      <td>KANEKA NORTH AMERICA LLC</td>\n",
       "      <td>6161 UNDERWOOD RD</td>\n",
       "      <td>PASADENA</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77507</td>\n",
       "      <td>29.621648</td>\n",
       "      <td>-95.085129</td>\n",
       "      <td>KANEKA AMERICAS HOLDING INC.</td>\n",
       "      <td>PROPYLENE OXIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8459</th>\n",
       "      <td>77536WRGRC739BA</td>\n",
       "      <td>GEO SPECIALTY CHEMICALS</td>\n",
       "      <td>739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)</td>\n",
       "      <td>DEER PARK</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77536</td>\n",
       "      <td>29.713590</td>\n",
       "      <td>-95.089630</td>\n",
       "      <td>GEO SPECIALTY CHEMICALS INC</td>\n",
       "      <td>AMMONIA</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>5482.287000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8460</th>\n",
       "      <td>77536WRGRC739BA</td>\n",
       "      <td>GEO SPECIALTY CHEMICALS</td>\n",
       "      <td>739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)</td>\n",
       "      <td>DEER PARK</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77536</td>\n",
       "      <td>29.713590</td>\n",
       "      <td>-95.089630</td>\n",
       "      <td>GEO SPECIALTY CHEMICALS INC</td>\n",
       "      <td>HYDROGEN CYANIDE</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.047000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8461</th>\n",
       "      <td>78938GGFBR25CUN</td>\n",
       "      <td>G&amp;G FIBERGLASS</td>\n",
       "      <td>250 COUNTY RD 100</td>\n",
       "      <td>ELDORADO</td>\n",
       "      <td>SCHLEICHER</td>\n",
       "      <td>76936</td>\n",
       "      <td>30.840500</td>\n",
       "      <td>-100.628600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>STYRENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2486.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8462</th>\n",
       "      <td>77507KNKTX6161U</td>\n",
       "      <td>KANEKA NORTH AMERICA LLC</td>\n",
       "      <td>6161 UNDERWOOD RD</td>\n",
       "      <td>PASADENA</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77507</td>\n",
       "      <td>29.621648</td>\n",
       "      <td>-95.085129</td>\n",
       "      <td>KANEKA AMERICAS HOLDING INC.</td>\n",
       "      <td>METHANOL</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>1530.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8463 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             2. TRIFD          4. FACILITY NAME  \\\n",
       "0     77015FRMNT2239H        GB BIOSCIENCES LLC   \n",
       "1     77015FRMNT2239H        GB BIOSCIENCES LLC   \n",
       "2     77015FRMNT2239H        GB BIOSCIENCES LLC   \n",
       "3     77015FRMNT2239H        GB BIOSCIENCES LLC   \n",
       "4     77803NRTNC1500I       SAINT-GOBAIN NORPRO   \n",
       "...               ...                       ...   \n",
       "8458  77507KNKTX6161U  KANEKA NORTH AMERICA LLC   \n",
       "8459  77536WRGRC739BA   GEO SPECIALTY CHEMICALS   \n",
       "8460  77536WRGRC739BA   GEO SPECIALTY CHEMICALS   \n",
       "8461  78938GGFBR25CUN            G&G FIBERGLASS   \n",
       "8462  77507KNKTX6161U  KANEKA NORTH AMERICA LLC   \n",
       "\n",
       "                                     5. STREET ADDRESS    6. CITY   7. COUNTY  \\\n",
       "0                                        2239 HADEN RD    HOUSTON      HARRIS   \n",
       "1                                        2239 HADEN RD    HOUSTON      HARRIS   \n",
       "2                                        2239 HADEN RD    HOUSTON      HARRIS   \n",
       "3                                        2239 HADEN RD    HOUSTON      HARRIS   \n",
       "4                                1500 INDEPENDENCE AVE      BRYAN      BRAZOS   \n",
       "...                                                ...        ...         ...   \n",
       "8458                                 6161 UNDERWOOD RD   PASADENA      HARRIS   \n",
       "8459  739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)  DEER PARK      HARRIS   \n",
       "8460  739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)  DEER PARK      HARRIS   \n",
       "8461                                 250 COUNTY RD 100   ELDORADO  SCHLEICHER   \n",
       "8462                                 6161 UNDERWOOD RD   PASADENA      HARRIS   \n",
       "\n",
       "      9. ZIP  12. LATITUDE  13. LONGITUDE            15. PARENT CO NAME  \\\n",
       "0      77015     29.762500     -95.171389                 SYNGENTA CORP   \n",
       "1      77015     29.762500     -95.171389                 SYNGENTA CORP   \n",
       "2      77015     29.762500     -95.171389                 SYNGENTA CORP   \n",
       "3      77015     29.762500     -95.171389                 SYNGENTA CORP   \n",
       "4      77803     30.660180     -96.408140             SAINT-GOBAIN CORP   \n",
       "...      ...           ...            ...                           ...   \n",
       "8458   77507     29.621648     -95.085129  KANEKA AMERICAS HOLDING INC.   \n",
       "8459   77536     29.713590     -95.089630   GEO SPECIALTY CHEMICALS INC   \n",
       "8460   77536     29.713590     -95.089630   GEO SPECIALTY CHEMICALS INC   \n",
       "8461   76936     30.840500    -100.628600                           NaN   \n",
       "8462   77507     29.621648     -95.085129  KANEKA AMERICAS HOLDING INC.   \n",
       "\n",
       "                   34. CHEMICAL 38. CLEAN AIR ACT CHEMICAL 42. CARCINOGEN  \\\n",
       "0              HYDROGEN CYANIDE                         NO             NO   \n",
       "1            VANADIUM COMPOUNDS                         NO             NO   \n",
       "2                CHLOROTHALONIL                         NO            YES   \n",
       "3     POLYCHLORINATED BIPHENYLS                        YES            YES   \n",
       "4                   FORMIC ACID                         NO             NO   \n",
       "...                         ...                        ...            ...   \n",
       "8458            PROPYLENE OXIDE                        YES            YES   \n",
       "8459                    AMMONIA                         NO             NO   \n",
       "8460           HYDROGEN CYANIDE                         NO             NO   \n",
       "8461                    STYRENE                        YES            YES   \n",
       "8462                   METHANOL                        YES             NO   \n",
       "\n",
       "     44. UNIT OF MEASURE  101. TOTAL RELEASES  \n",
       "0                 Pounds           203.100000  \n",
       "1                 Pounds         13395.010000  \n",
       "2                 Pounds        206790.500000  \n",
       "3                 Pounds             2.167075  \n",
       "4                 Pounds          3817.000000  \n",
       "...                  ...                  ...  \n",
       "8458              Pounds            76.000000  \n",
       "8459              Pounds          5482.287000  \n",
       "8460              Pounds             0.047000  \n",
       "8461              Pounds          2486.000000  \n",
       "8462              Pounds          1530.000000  \n",
       "\n",
       "[8463 rows x 14 columns]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_counties = df2.filter(['2. TRIFD', '4. FACILITY NAME', '5. STREET ADDRESS', '6. CITY', '7. COUNTY', '9. ZIP', '12. LATITUDE', '13. LONGITUDE', '15. PARENT CO NAME', '34. CHEMICAL', '38. CLEAN AIR ACT CHEMICAL', '42. CARCINOGEN', '44. UNIT OF MEASURE', '101. TOTAL RELEASES'], axis=1)\n",
    "df_counties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>7. COUNTY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROGEN CYANIDE</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>203.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>VANADIUM COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>13395.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>206790.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>POLYCHLORINATED BIPHENYLS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2.167075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>BRAZOS</td>\n",
       "      <td>77803</td>\n",
       "      <td>30.66018</td>\n",
       "      <td>-96.408140</td>\n",
       "      <td>SAINT-GOBAIN CORP</td>\n",
       "      <td>FORMIC ACID</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>3817.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>AMMONIA</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>125844.782000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>BIPHENYL</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>606.660000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>77803NRTNC1500I</td>\n",
       "      <td>SAINT-GOBAIN NORPRO</td>\n",
       "      <td>1500 INDEPENDENCE AVE</td>\n",
       "      <td>BRYAN</td>\n",
       "      <td>BRAZOS</td>\n",
       "      <td>77803</td>\n",
       "      <td>30.66018</td>\n",
       "      <td>-96.408140</td>\n",
       "      <td>SAINT-GOBAIN CORP</td>\n",
       "      <td>HYDROGEN FLUORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>1113.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLORINE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>14045.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CARBON TETRACHLORIDE</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2256.567000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>M-XYLENE</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>10808.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROCHLORIC ACID (1995 AND AFTER ACID AEROSOL...</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>9069.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>ZINC COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.76250</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>DIOXIN AND DIOXIN-LIKE COMPOUNDS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Grams</td>\n",
       "      <td>0.626765</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           2. TRIFD     4. FACILITY NAME      5. STREET ADDRESS  6. CITY  \\\n",
       "0   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "1   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "2   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "3   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "4   77803NRTNC1500I  SAINT-GOBAIN NORPRO  1500 INDEPENDENCE AVE    BRYAN   \n",
       "5   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "6   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "7   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "8   77803NRTNC1500I  SAINT-GOBAIN NORPRO  1500 INDEPENDENCE AVE    BRYAN   \n",
       "9   77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "10  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "11  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "12  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "13  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "14  77015FRMNT2239H   GB BIOSCIENCES LLC          2239 HADEN RD  HOUSTON   \n",
       "\n",
       "   7. COUNTY  9. ZIP  12. LATITUDE  13. LONGITUDE 15. PARENT CO NAME  \\\n",
       "0     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "1     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "2     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "3     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "4     BRAZOS   77803      30.66018     -96.408140  SAINT-GOBAIN CORP   \n",
       "5     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "6     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "7     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "8     BRAZOS   77803      30.66018     -96.408140  SAINT-GOBAIN CORP   \n",
       "9     HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "10    HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "11    HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "12    HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "13    HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "14    HARRIS   77015      29.76250     -95.171389      SYNGENTA CORP   \n",
       "\n",
       "                                         34. CHEMICAL  \\\n",
       "0                                    HYDROGEN CYANIDE   \n",
       "1                                  VANADIUM COMPOUNDS   \n",
       "2                                      CHLOROTHALONIL   \n",
       "3                           POLYCHLORINATED BIPHENYLS   \n",
       "4                                         FORMIC ACID   \n",
       "5                                             AMMONIA   \n",
       "6                                            BIPHENYL   \n",
       "7   SULFURIC ACID (1994 AND AFTER ACID AEROSOLS\" O...   \n",
       "8                                   HYDROGEN FLUORIDE   \n",
       "9                                            CHLORINE   \n",
       "10                               CARBON TETRACHLORIDE   \n",
       "11                                           M-XYLENE   \n",
       "12  HYDROCHLORIC ACID (1995 AND AFTER ACID AEROSOL...   \n",
       "13                                     ZINC COMPOUNDS   \n",
       "14                   DIOXIN AND DIOXIN-LIKE COMPOUNDS   \n",
       "\n",
       "   38. CLEAN AIR ACT CHEMICAL 42. CARCINOGEN 44. UNIT OF MEASURE  \\\n",
       "0                          NO             NO              Pounds   \n",
       "1                          NO             NO              Pounds   \n",
       "2                          NO            YES              Pounds   \n",
       "3                         YES            YES              Pounds   \n",
       "4                          NO             NO              Pounds   \n",
       "5                          NO             NO              Pounds   \n",
       "6                         YES             NO              Pounds   \n",
       "7                          NO             NO              Pounds   \n",
       "8                         YES             NO              Pounds   \n",
       "9                         YES             NO              Pounds   \n",
       "10                        YES            YES              Pounds   \n",
       "11                        YES             NO              Pounds   \n",
       "12                        YES             NO              Pounds   \n",
       "13                         NO             NO              Pounds   \n",
       "14                        YES            YES               Grams   \n",
       "\n",
       "    101. TOTAL RELEASES  \n",
       "0            203.100000  \n",
       "1          13395.010000  \n",
       "2         206790.500000  \n",
       "3              2.167075  \n",
       "4           3817.000000  \n",
       "5         125844.782000  \n",
       "6            606.660000  \n",
       "7              0.000000  \n",
       "8           1113.000000  \n",
       "9          14045.000000  \n",
       "10          2256.567000  \n",
       "11         10808.010000  \n",
       "12          9069.000000  \n",
       "13             0.000000  \n",
       "14             0.626765  "
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Convert grams to pounds\n",
    "df_counties.loc[df_counties['44. UNIT OF MEASURE'] == 'Grams', '101. TOTAL RELEASES'] = df_counties['101. TOTAL RELEASES'] * 0.00220462\n",
    "df_counties.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_counties = df_counties.groupby('7. COUNTY')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "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>7. COUNTY</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HARRIS</td>\n",
       "      <td>4.665530e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BRAZORIA</td>\n",
       "      <td>2.544523e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>2.013570e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CALHOUN</td>\n",
       "      <td>1.320010e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NUECES</td>\n",
       "      <td>1.174444e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>GONZALES</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>GILLESPIE</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>LAVACA</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>COMANCHE</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>JIM HOGG</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>154 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     7. COUNTY  101. TOTAL RELEASES\n",
       "0       HARRIS         4.665530e+07\n",
       "1     BRAZORIA         2.544523e+07\n",
       "2    JEFFERSON         2.013570e+07\n",
       "3      CALHOUN         1.320010e+07\n",
       "4       NUECES         1.174444e+07\n",
       "..         ...                  ...\n",
       "149   GONZALES         0.000000e+00\n",
       "150  GILLESPIE         0.000000e+00\n",
       "151     LAVACA         0.000000e+00\n",
       "152   COMANCHE         0.000000e+00\n",
       "153   JIM HOGG         0.000000e+00\n",
       "\n",
       "[154 rows x 2 columns]"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_counties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        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>7. COUNTY</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HARRIS</td>\n",
       "      <td>4.665530e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BRAZORIA</td>\n",
       "      <td>2.544523e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>2.013570e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CALHOUN</td>\n",
       "      <td>1.320010e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NUECES</td>\n",
       "      <td>1.174444e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>GALVESTON</td>\n",
       "      <td>8.631781e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ORANGE</td>\n",
       "      <td>5.937537e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HARRISON</td>\n",
       "      <td>5.311139e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>HUTCHINSON</td>\n",
       "      <td>4.828267e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CASS</td>\n",
       "      <td>3.917837e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ROBERTSON</td>\n",
       "      <td>3.248372e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VICTORIA</td>\n",
       "      <td>3.095355e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MCLENNAN</td>\n",
       "      <td>2.839026e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>FORT BEND</td>\n",
       "      <td>2.790443e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>RUSK</td>\n",
       "      <td>2.401816e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>TITUS</td>\n",
       "      <td>2.342312e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>BEXAR</td>\n",
       "      <td>2.280666e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CHAMBERS</td>\n",
       "      <td>2.194678e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>LIMESTONE</td>\n",
       "      <td>1.845393e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>JASPER</td>\n",
       "      <td>1.720713e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>TRAVIS</td>\n",
       "      <td>1.471523e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ELLIS</td>\n",
       "      <td>1.392655e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>BRAZOS</td>\n",
       "      <td>1.257494e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>DALLAS</td>\n",
       "      <td>1.177792e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>TARRANT</td>\n",
       "      <td>1.016370e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>MOORE</td>\n",
       "      <td>1.006069e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>EL PASO</td>\n",
       "      <td>8.158259e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ATASCOSA</td>\n",
       "      <td>8.067258e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MONTGOMERY</td>\n",
       "      <td>7.963982e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>GUADALUPE</td>\n",
       "      <td>7.140762e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     7. COUNTY  101. TOTAL RELEASES\n",
       "0       HARRIS         4.665530e+07\n",
       "1     BRAZORIA         2.544523e+07\n",
       "2    JEFFERSON         2.013570e+07\n",
       "3      CALHOUN         1.320010e+07\n",
       "4       NUECES         1.174444e+07\n",
       "5    GALVESTON         8.631781e+06\n",
       "6       ORANGE         5.937537e+06\n",
       "7     HARRISON         5.311139e+06\n",
       "8   HUTCHINSON         4.828267e+06\n",
       "9         CASS         3.917837e+06\n",
       "10   ROBERTSON         3.248372e+06\n",
       "11    VICTORIA         3.095355e+06\n",
       "12    MCLENNAN         2.839026e+06\n",
       "13   FORT BEND         2.790443e+06\n",
       "14        RUSK         2.401816e+06\n",
       "15       TITUS         2.342312e+06\n",
       "16       BEXAR         2.280666e+06\n",
       "17    CHAMBERS         2.194678e+06\n",
       "18   LIMESTONE         1.845393e+06\n",
       "19      JASPER         1.720713e+06\n",
       "20      TRAVIS         1.471523e+06\n",
       "21       ELLIS         1.392655e+06\n",
       "22      BRAZOS         1.257494e+06\n",
       "23      DALLAS         1.177792e+06\n",
       "24     TARRANT         1.016370e+06\n",
       "25       MOORE         1.006069e+06\n",
       "26     EL PASO         8.158259e+05\n",
       "27    ATASCOSA         8.067258e+05\n",
       "28  MONTGOMERY         7.963982e+05\n",
       "29   GUADALUPE         7.140762e+05"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_counties.head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_counties = df_counties.rename(columns={'7. COUNTY':'COUNTY',\n",
    "                                          '101. TOTAL RELEASES':'TOTAL RELEASES'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Top 10 Counties with Most Toxic Releases')"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='TOTAL RELEASES', y='COUNTY', data=df_counties.head(10)).set_title('Top 10 Counties with Most Toxic Releases')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Dataframe with Just Harris County Releases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "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>1. YEAR</th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>3. FRS ID</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>7. COUNTY</th>\n",
       "      <th>8. ST</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>10. BIA</th>\n",
       "      <th>...</th>\n",
       "      <th>108. 8.3 - ENERGY RECOVER OF</th>\n",
       "      <th>109. 8.4 - RECYCLING ON SITE</th>\n",
       "      <th>110. 8.5 - RECYCLING OFF SIT</th>\n",
       "      <th>111. 8.6 - TREATMENT ON SITE</th>\n",
       "      <th>112. 8.7 - TREATMENT OFF SITE</th>\n",
       "      <th>113. PRODUCTION WSTE (8.1-8.7)</th>\n",
       "      <th>114. 8.8 - ONE-TIME RELEASE</th>\n",
       "      <th>115. PROD_RATIO_OR_ ACTIVITY</th>\n",
       "      <th>116. 8.9 - PRODUCTION RATIO</th>\n",
       "      <th>Unnamed: 116</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>214.100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>13395.010000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16296.0</td>\n",
       "      <td>1152.600</td>\n",
       "      <td>224239.100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.004</td>\n",
       "      <td>2.171075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.22</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>110000460965</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>0.380</td>\n",
       "      <td>4032.662000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8455</th>\n",
       "      <td>2019</td>\n",
       "      <td>77507KNKTX6161U</td>\n",
       "      <td>110000462918</td>\n",
       "      <td>KANEKA NORTH AMERICA LLC</td>\n",
       "      <td>6161 UNDERWOOD RD</td>\n",
       "      <td>PASADENA</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77507</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4648.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4653.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8458</th>\n",
       "      <td>2019</td>\n",
       "      <td>77507KNKTX6161U</td>\n",
       "      <td>110000462918</td>\n",
       "      <td>KANEKA NORTH AMERICA LLC</td>\n",
       "      <td>6161 UNDERWOOD RD</td>\n",
       "      <td>PASADENA</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77507</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8459</th>\n",
       "      <td>2019</td>\n",
       "      <td>77536WRGRC739BA</td>\n",
       "      <td>110000499050</td>\n",
       "      <td>GEO SPECIALTY CHEMICALS</td>\n",
       "      <td>739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)</td>\n",
       "      <td>DEER PARK</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77536</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1128.000</td>\n",
       "      <td>6610.287000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>0.97</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8460</th>\n",
       "      <td>2019</td>\n",
       "      <td>77536WRGRC739BA</td>\n",
       "      <td>110000499050</td>\n",
       "      <td>GEO SPECIALTY CHEMICALS</td>\n",
       "      <td>739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)</td>\n",
       "      <td>DEER PARK</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77536</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7010.000</td>\n",
       "      <td>7010.047000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>0.97</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8462</th>\n",
       "      <td>2019</td>\n",
       "      <td>77507KNKTX6161U</td>\n",
       "      <td>110000462918</td>\n",
       "      <td>KANEKA NORTH AMERICA LLC</td>\n",
       "      <td>6161 UNDERWOOD RD</td>\n",
       "      <td>PASADENA</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>TX</td>\n",
       "      <td>77507</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>279400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30832.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>311762.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PRODUCTION</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2237 rows × 117 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      1. YEAR         2. TRIFD     3. FRS ID          4. FACILITY NAME  \\\n",
       "0        2019  77015FRMNT2239H  110000460965        GB BIOSCIENCES LLC   \n",
       "1        2019  77015FRMNT2239H  110000460965        GB BIOSCIENCES LLC   \n",
       "2        2019  77015FRMNT2239H  110000460965        GB BIOSCIENCES LLC   \n",
       "3        2019  77015FRMNT2239H  110000460965        GB BIOSCIENCES LLC   \n",
       "5        2019  77015FRMNT2239H  110000460965        GB BIOSCIENCES LLC   \n",
       "...       ...              ...           ...                       ...   \n",
       "8455     2019  77507KNKTX6161U  110000462918  KANEKA NORTH AMERICA LLC   \n",
       "8458     2019  77507KNKTX6161U  110000462918  KANEKA NORTH AMERICA LLC   \n",
       "8459     2019  77536WRGRC739BA  110000499050   GEO SPECIALTY CHEMICALS   \n",
       "8460     2019  77536WRGRC739BA  110000499050   GEO SPECIALTY CHEMICALS   \n",
       "8462     2019  77507KNKTX6161U  110000462918  KANEKA NORTH AMERICA LLC   \n",
       "\n",
       "                                     5. STREET ADDRESS    6. CITY 7. COUNTY  \\\n",
       "0                                        2239 HADEN RD    HOUSTON    HARRIS   \n",
       "1                                        2239 HADEN RD    HOUSTON    HARRIS   \n",
       "2                                        2239 HADEN RD    HOUSTON    HARRIS   \n",
       "3                                        2239 HADEN RD    HOUSTON    HARRIS   \n",
       "5                                        2239 HADEN RD    HOUSTON    HARRIS   \n",
       "...                                                ...        ...       ...   \n",
       "8455                                 6161 UNDERWOOD RD   PASADENA    HARRIS   \n",
       "8458                                 6161 UNDERWOOD RD   PASADENA    HARRIS   \n",
       "8459  739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)  DEER PARK    HARRIS   \n",
       "8460  739 INDEPENDENCE PKWY (FORMERLY BATTLEGROUND RD)  DEER PARK    HARRIS   \n",
       "8462                                 6161 UNDERWOOD RD   PASADENA    HARRIS   \n",
       "\n",
       "     8. ST  9. ZIP  10. BIA  ...  108. 8.3 - ENERGY RECOVER OF  \\\n",
       "0       TX   77015      NaN  ...                           0.0   \n",
       "1       TX   77015      NaN  ...                           0.0   \n",
       "2       TX   77015      NaN  ...                           0.0   \n",
       "3       TX   77015      NaN  ...                           0.0   \n",
       "5       TX   77015      NaN  ...                           0.0   \n",
       "...    ...     ...      ...  ...                           ...   \n",
       "8455    TX   77507      NaN  ...                           0.0   \n",
       "8458    TX   77507      NaN  ...                           0.0   \n",
       "8459    TX   77536      NaN  ...                           0.0   \n",
       "8460    TX   77536      NaN  ...                           0.0   \n",
       "8462    TX   77507      NaN  ...                      279400.0   \n",
       "\n",
       "      109. 8.4 - RECYCLING ON SITE  110. 8.5 - RECYCLING OFF SIT  \\\n",
       "0                              0.0                           0.0   \n",
       "1                              0.0                           0.0   \n",
       "2                              0.0                           0.0   \n",
       "3                              0.0                           0.0   \n",
       "5                              0.0                           0.0   \n",
       "...                            ...                           ...   \n",
       "8455                           0.0                           0.0   \n",
       "8458                           0.0                           0.0   \n",
       "8459                           0.0                           0.0   \n",
       "8460                           0.0                           0.0   \n",
       "8462                           0.0                           0.0   \n",
       "\n",
       "     111. 8.6 - TREATMENT ON SITE 112. 8.7 - TREATMENT OFF SITE  \\\n",
       "0                            11.0                         0.000   \n",
       "1                             0.0                         0.000   \n",
       "2                         16296.0                      1152.600   \n",
       "3                             0.0                         0.004   \n",
       "5                          2011.0                         0.380   \n",
       "...                           ...                           ...   \n",
       "8455                       4648.0                         0.000   \n",
       "8458                         39.0                         0.000   \n",
       "8459                          0.0                      1128.000   \n",
       "8460                          0.0                      7010.000   \n",
       "8462                      30832.0                         0.000   \n",
       "\n",
       "     113. PRODUCTION WSTE (8.1-8.7) 114. 8.8 - ONE-TIME RELEASE  \\\n",
       "0                        214.100000                         NaN   \n",
       "1                      13395.010000                         NaN   \n",
       "2                     224239.100000                         NaN   \n",
       "3                          2.171075                         NaN   \n",
       "5                       4032.662000                    100000.0   \n",
       "...                             ...                         ...   \n",
       "8455                    4653.000000                         NaN   \n",
       "8458                     115.000000                         NaN   \n",
       "8459                    6610.287000                         0.0   \n",
       "8460                    7010.047000                         0.0   \n",
       "8462                  311762.000000                         NaN   \n",
       "\n",
       "     115. PROD_RATIO_OR_ ACTIVITY  116. 8.9 - PRODUCTION RATIO Unnamed: 116  \n",
       "0                      PRODUCTION                         0.00          NaN  \n",
       "1                      PRODUCTION                         0.00          NaN  \n",
       "2                      PRODUCTION                         1.22          NaN  \n",
       "3                      PRODUCTION                         1.22          NaN  \n",
       "5                      PRODUCTION                         0.00          NaN  \n",
       "...                           ...                          ...          ...  \n",
       "8455                   PRODUCTION                         1.00          NaN  \n",
       "8458                   PRODUCTION                         1.00          NaN  \n",
       "8459                   PRODUCTION                         0.97          NaN  \n",
       "8460                   PRODUCTION                         0.97          NaN  \n",
       "8462                   PRODUCTION                         1.00          NaN  \n",
       "\n",
       "[2237 rows x 117 columns]"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_harris = df2[df2['7. COUNTY'] == 'HARRIS']\n",
    "df_harris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_harris = df_harris.filter(['2. TRIFD', '4. FACILITY NAME', '5. STREET ADDRESS', '6. CITY', '7. COUNTY', '9. ZIP', '12. LATITUDE', '13. LONGITUDE', '15. PARENT CO NAME', '34. CHEMICAL', '38. CLEAN AIR ACT CHEMICAL', '42. CARCINOGEN', '44. UNIT OF MEASURE', '101. TOTAL RELEASES'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Convert grams to pounds\n",
    "df_harris.loc[df_harris['44. UNIT OF MEASURE'] == 'Grams', '101. TOTAL RELEASES'] = df_harris['101. TOTAL RELEASES'] * 0.00220462"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Change ZIP codes to make them all 5 digits\n",
    "#Change ZIP codes to string type\n",
    "df_harris['9. ZIP'] = df_harris['9. ZIP'].astype(str)\n",
    "\n",
    "#Create new column with ZIP codes with only the first 5 digits\n",
    "df_harris['ZIP'] = df_harris['9. ZIP'].str[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2. TRIFD</th>\n",
       "      <th>4. FACILITY NAME</th>\n",
       "      <th>5. STREET ADDRESS</th>\n",
       "      <th>6. CITY</th>\n",
       "      <th>7. COUNTY</th>\n",
       "      <th>9. ZIP</th>\n",
       "      <th>12. LATITUDE</th>\n",
       "      <th>13. LONGITUDE</th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>34. CHEMICAL</th>\n",
       "      <th>38. CLEAN AIR ACT CHEMICAL</th>\n",
       "      <th>42. CARCINOGEN</th>\n",
       "      <th>44. UNIT OF MEASURE</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "      <th>ZIP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>HYDROGEN CYANIDE</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>203.100000</td>\n",
       "      <td>77015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>VANADIUM COMPOUNDS</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>13395.010000</td>\n",
       "      <td>77015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>CHLOROTHALONIL</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>206790.500000</td>\n",
       "      <td>77015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>POLYCHLORINATED BIPHENYLS</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>2.167075</td>\n",
       "      <td>77015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>77015FRMNT2239H</td>\n",
       "      <td>GB BIOSCIENCES LLC</td>\n",
       "      <td>2239 HADEN RD</td>\n",
       "      <td>HOUSTON</td>\n",
       "      <td>HARRIS</td>\n",
       "      <td>77015</td>\n",
       "      <td>29.7625</td>\n",
       "      <td>-95.171389</td>\n",
       "      <td>SYNGENTA CORP</td>\n",
       "      <td>AMMONIA</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>Pounds</td>\n",
       "      <td>125844.782000</td>\n",
       "      <td>77015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          2. TRIFD    4. FACILITY NAME 5. STREET ADDRESS  6. CITY 7. COUNTY  \\\n",
       "0  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON    HARRIS   \n",
       "1  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON    HARRIS   \n",
       "2  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON    HARRIS   \n",
       "3  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON    HARRIS   \n",
       "5  77015FRMNT2239H  GB BIOSCIENCES LLC     2239 HADEN RD  HOUSTON    HARRIS   \n",
       "\n",
       "  9. ZIP  12. LATITUDE  13. LONGITUDE 15. PARENT CO NAME  \\\n",
       "0  77015       29.7625     -95.171389      SYNGENTA CORP   \n",
       "1  77015       29.7625     -95.171389      SYNGENTA CORP   \n",
       "2  77015       29.7625     -95.171389      SYNGENTA CORP   \n",
       "3  77015       29.7625     -95.171389      SYNGENTA CORP   \n",
       "5  77015       29.7625     -95.171389      SYNGENTA CORP   \n",
       "\n",
       "                34. CHEMICAL 38. CLEAN AIR ACT CHEMICAL 42. CARCINOGEN  \\\n",
       "0           HYDROGEN CYANIDE                         NO             NO   \n",
       "1         VANADIUM COMPOUNDS                         NO             NO   \n",
       "2             CHLOROTHALONIL                         NO            YES   \n",
       "3  POLYCHLORINATED BIPHENYLS                        YES            YES   \n",
       "5                    AMMONIA                         NO             NO   \n",
       "\n",
       "  44. UNIT OF MEASURE  101. TOTAL RELEASES    ZIP  \n",
       "0              Pounds           203.100000  77015  \n",
       "1              Pounds         13395.010000  77015  \n",
       "2              Pounds        206790.500000  77015  \n",
       "3              Pounds             2.167075  77015  \n",
       "5              Pounds        125844.782000  77015  "
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_harris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ZIP</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77536</td>\n",
       "      <td>1.593846e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77571</td>\n",
       "      <td>7.254232e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77530</td>\n",
       "      <td>4.999060e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77520</td>\n",
       "      <td>4.044139e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77507</td>\n",
       "      <td>3.543322e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ZIP  101. TOTAL RELEASES\n",
       "0  77536         1.593846e+07\n",
       "1  77571         7.254232e+06\n",
       "2  77530         4.999060e+06\n",
       "3  77520         4.044139e+06\n",
       "4  77507         3.543322e+06"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_harris_zip = df_harris.groupby('ZIP')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()\n",
    "df_harris_zip.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>15. PARENT CO NAME</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TEXAS MOLECULAR LP</td>\n",
       "      <td>1.353056e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LYONDELLBASELL INDUSTRIES</td>\n",
       "      <td>6.258943e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EXXON MOBIL CORP</td>\n",
       "      <td>4.012635e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NIPPON GOSHEI USA</td>\n",
       "      <td>2.694814e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SASOL (USA) CORP</td>\n",
       "      <td>2.374656e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          15. PARENT CO NAME  101. TOTAL RELEASES\n",
       "0         TEXAS MOLECULAR LP         1.353056e+07\n",
       "1  LYONDELLBASELL INDUSTRIES         6.258943e+06\n",
       "2           EXXON MOBIL CORP         4.012635e+06\n",
       "3          NIPPON GOSHEI USA         2.694814e+06\n",
       "4           SASOL (USA) CORP         2.374656e+06"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Look at the top polluters in Harris County\n",
    "df_harris_parent_co = df_harris.groupby('15. PARENT CO NAME')['101. TOTAL RELEASES'].sum().sort_values(ascending=False).reset_index()\n",
    "df_harris_parent_co.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_harris_parent_co = df_harris_parent_co.rename(columns={'15. PARENT CO NAME':'PARENT CO NAME',\n",
    "                                                          '101. TOTAL RELEASES':'TOTAL RELEASES'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Top 10 Companies in Harris County with Most Toxic Releases')"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='TOTAL RELEASES', y='PARENT CO NAME', data=df_harris_parent_co.head(10)).set_title('Top 10 Companies in Harris County with Most Toxic Releases')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Census data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_census = pd.read_csv('ACSST5Y2019.S1701_data_with_overlays_2021-03-08T154944.csv', skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>id</th>\n",
       "      <th>Geographic Area Name</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined</th>\n",
       "      <th>Margin of Error!!Total!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years</th>\n",
       "      <th>Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years</th>\n",
       "      <th>Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years</th>\n",
       "      <th>Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years</th>\n",
       "      <th>...</th>\n",
       "      <th>Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over</th>\n",
       "      <th>Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over</th>\n",
       "      <th>Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)</th>\n",
       "      <th>Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)</th>\n",
       "      <th>Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months</th>\n",
       "      <th>Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months</th>\n",
       "      <th>Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months</th>\n",
       "      <th>Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months</th>\n",
       "      <th>Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work</th>\n",
       "      <th>Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8600000US75001</td>\n",
       "      <td>ZCTA5 75001</td>\n",
       "      <td>14972</td>\n",
       "      <td>223</td>\n",
       "      <td>2178</td>\n",
       "      <td>316</td>\n",
       "      <td>774</td>\n",
       "      <td>174</td>\n",
       "      <td>1404</td>\n",
       "      <td>301</td>\n",
       "      <td>...</td>\n",
       "      <td>22.4</td>\n",
       "      <td>23.3</td>\n",
       "      <td>(X)</td>\n",
       "      <td>(X)</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>22.8</td>\n",
       "      <td>7.1</td>\n",
       "      <td>45.6</td>\n",
       "      <td>13.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8600000US75002</td>\n",
       "      <td>ZCTA5 75002</td>\n",
       "      <td>70980</td>\n",
       "      <td>1420</td>\n",
       "      <td>19772</td>\n",
       "      <td>882</td>\n",
       "      <td>4188</td>\n",
       "      <td>564</td>\n",
       "      <td>15584</td>\n",
       "      <td>888</td>\n",
       "      <td>...</td>\n",
       "      <td>6.3</td>\n",
       "      <td>7.6</td>\n",
       "      <td>(X)</td>\n",
       "      <td>(X)</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>26.7</td>\n",
       "      <td>10.2</td>\n",
       "      <td>29.8</td>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8600000US75006</td>\n",
       "      <td>ZCTA5 75006</td>\n",
       "      <td>51248</td>\n",
       "      <td>546</td>\n",
       "      <td>12797</td>\n",
       "      <td>786</td>\n",
       "      <td>3736</td>\n",
       "      <td>477</td>\n",
       "      <td>9061</td>\n",
       "      <td>697</td>\n",
       "      <td>...</td>\n",
       "      <td>8.3</td>\n",
       "      <td>5.5</td>\n",
       "      <td>(X)</td>\n",
       "      <td>(X)</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>28.3</td>\n",
       "      <td>9.1</td>\n",
       "      <td>34.5</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8600000US75007</td>\n",
       "      <td>ZCTA5 75007</td>\n",
       "      <td>55409</td>\n",
       "      <td>1307</td>\n",
       "      <td>11568</td>\n",
       "      <td>669</td>\n",
       "      <td>2637</td>\n",
       "      <td>369</td>\n",
       "      <td>8931</td>\n",
       "      <td>605</td>\n",
       "      <td>...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>(X)</td>\n",
       "      <td>(X)</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>23.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>41.3</td>\n",
       "      <td>12.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8600000US75009</td>\n",
       "      <td>ZCTA5 75009</td>\n",
       "      <td>13946</td>\n",
       "      <td>1260</td>\n",
       "      <td>4331</td>\n",
       "      <td>605</td>\n",
       "      <td>1296</td>\n",
       "      <td>325</td>\n",
       "      <td>3035</td>\n",
       "      <td>493</td>\n",
       "      <td>...</td>\n",
       "      <td>17.1</td>\n",
       "      <td>22.4</td>\n",
       "      <td>(X)</td>\n",
       "      <td>(X)</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.5</td>\n",
       "      <td>22.7</td>\n",
       "      <td>32.3</td>\n",
       "      <td>51.9</td>\n",
       "      <td>24.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 368 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               id Geographic Area Name  \\\n",
       "0  8600000US75001          ZCTA5 75001   \n",
       "1  8600000US75002          ZCTA5 75002   \n",
       "2  8600000US75006          ZCTA5 75006   \n",
       "3  8600000US75007          ZCTA5 75007   \n",
       "4  8600000US75009          ZCTA5 75009   \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined  \\\n",
       "0                                              14972                   \n",
       "1                                              70980                   \n",
       "2                                              51248                   \n",
       "3                                              55409                   \n",
       "4                                              13946                   \n",
       "\n",
       "   Margin of Error!!Total!!Population for whom poverty status is determined  \\\n",
       "0                                                223                          \n",
       "1                                               1420                          \n",
       "2                                                546                          \n",
       "3                                               1307                          \n",
       "4                                               1260                          \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years  \\\n",
       "0                                               2178                                        \n",
       "1                                              19772                                        \n",
       "2                                              12797                                        \n",
       "3                                              11568                                        \n",
       "4                                               4331                                        \n",
       "\n",
       "   Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years  \\\n",
       "0                                                316                                               \n",
       "1                                                882                                               \n",
       "2                                                786                                               \n",
       "3                                                669                                               \n",
       "4                                                605                                               \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years  \\\n",
       "0                                                774                                                       \n",
       "1                                               4188                                                       \n",
       "2                                               3736                                                       \n",
       "3                                               2637                                                       \n",
       "4                                               1296                                                       \n",
       "\n",
       "   Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years  \\\n",
       "0                                                174                                                              \n",
       "1                                                564                                                              \n",
       "2                                                477                                                              \n",
       "3                                                369                                                              \n",
       "4                                                325                                                              \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years  \\\n",
       "0                                               1404                                                       \n",
       "1                                              15584                                                       \n",
       "2                                               9061                                                       \n",
       "3                                               8931                                                       \n",
       "4                                               3035                                                       \n",
       "\n",
       "   Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years  \\\n",
       "0                                                301                                                              \n",
       "1                                                888                                                              \n",
       "2                                                697                                                              \n",
       "3                                                605                                                              \n",
       "4                                                493                                                              \n",
       "\n",
       "   ...  \\\n",
       "0  ...   \n",
       "1  ...   \n",
       "2  ...   \n",
       "3  ...   \n",
       "4  ...   \n",
       "\n",
       "   Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over  \\\n",
       "0                                               22.4                                                                       \n",
       "1                                                6.3                                                                       \n",
       "2                                                8.3                                                                       \n",
       "3                                               22.0                                                                       \n",
       "4                                               17.1                                                                       \n",
       "\n",
       "   Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over  \\\n",
       "0                                               23.3                                                                              \n",
       "1                                                7.6                                                                              \n",
       "2                                                5.5                                                                              \n",
       "3                                                9.1                                                                              \n",
       "4                                               22.4                                                                              \n",
       "\n",
       "   Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)  \\\n",
       "0                                                (X)                                                                                                             \n",
       "1                                                (X)                                                                                                             \n",
       "2                                                (X)                                                                                                             \n",
       "3                                                (X)                                                                                                             \n",
       "4                                                (X)                                                                                                             \n",
       "\n",
       "   Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)  \\\n",
       "0                                                (X)                                                                                                                    \n",
       "1                                                (X)                                                                                                                    \n",
       "2                                                (X)                                                                                                                    \n",
       "3                                                (X)                                                                                                                    \n",
       "4                                                (X)                                                                                                                    \n",
       "\n",
       "   Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months  \\\n",
       "0                                                1.7                                                                                                        \n",
       "1                                                1.0                                                                                                        \n",
       "2                                                4.8                                                                                                        \n",
       "3                                                1.2                                                                                                        \n",
       "4                                                3.4                                                                                                        \n",
       "\n",
       "   Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months  \\\n",
       "0                                                1.2                                                                                                               \n",
       "1                                                1.1                                                                                                               \n",
       "2                                                2.2                                                                                                               \n",
       "3                                                1.4                                                                                                               \n",
       "4                                                5.5                                                                                                               \n",
       "\n",
       "   Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months  \\\n",
       "0                                               22.8                                                                                                                  \n",
       "1                                               26.7                                                                                                                  \n",
       "2                                               28.3                                                                                                                  \n",
       "3                                               23.1                                                                                                                  \n",
       "4                                               22.7                                                                                                                  \n",
       "\n",
       "   Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months  \\\n",
       "0                                                7.1                                                                                                                         \n",
       "1                                               10.2                                                                                                                         \n",
       "2                                                9.1                                                                                                                         \n",
       "3                                                8.1                                                                                                                         \n",
       "4                                               32.3                                                                                                                         \n",
       "\n",
       "   Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work  \\\n",
       "0                                               45.6                                                                  \n",
       "1                                               29.8                                                                  \n",
       "2                                               34.5                                                                  \n",
       "3                                               41.3                                                                  \n",
       "4                                               51.9                                                                  \n",
       "\n",
       "   Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work  \n",
       "0                                               13.1                                                                        \n",
       "1                                                8.7                                                                        \n",
       "2                                                7.2                                                                        \n",
       "3                                               12.3                                                                        \n",
       "4                                               24.4                                                                        \n",
       "\n",
       "[5 rows x 368 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_census.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['id',\n",
       " 'Geographic Area Name',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Related children of householder under 18 years',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Related children of householder under 18 years',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!18 to 64 years',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!18 to 64 years',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!18 to 34 years',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!18 to 34 years',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!35 to 64 years',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!35 to 64 years',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!60 years and over',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!60 years and over',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!AGE!!65 years and over',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!AGE!!65 years and over',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!SEX!!Male',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!SEX!!Male',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!SEX!!Female',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!SEX!!Female',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Two or more races',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Two or more races',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Less than high school graduate',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Less than high school graduate',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!High school graduate (includes equivalency)',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!High school graduate (includes equivalency)',\n",
       " \"Estimate!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Some college, associate's degree\",\n",
       " \"Margin of Error!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Some college, associate's degree\",\n",
       " \"Estimate!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Bachelor's degree or higher\",\n",
       " \"Margin of Error!!Total!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Bachelor's degree or higher\",\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Male',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Male',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Female',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Female',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Male',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Male',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Female',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Female',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked part-time or part-year in the past 12 months',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked part-time or part-year in the past 12 months',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Did not work',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Did not work',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level',\n",
       " 'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level',\n",
       " 'Margin of Error!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Male',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Male',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Female',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Female',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!15 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!15 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!16 to 17 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!16 to 17 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!18 to 24 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!18 to 24 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!25 to 34 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!25 to 34 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!35 to 44 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!35 to 44 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!45 to 54 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!45 to 54 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!55 to 64 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!55 to 64 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!65 to 74 years',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!65 to 74 years',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work',\n",
       " 'Margin of Error!!Total!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Related children of householder under 18 years',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Related children of householder under 18 years',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!18 to 34 years',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!18 to 34 years',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!35 to 64 years',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!35 to 64 years',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!60 years and over',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!60 years and over',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!AGE!!65 years and over',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!AGE!!65 years and over',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!SEX!!Male',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!SEX!!Male',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!SEX!!Female',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!SEX!!Female',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Two or more races',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Two or more races',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Less than high school graduate',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Less than high school graduate',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!High school graduate (includes equivalency)',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!High school graduate (includes equivalency)',\n",
       " \"Estimate!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Some college, associate's degree\",\n",
       " \"Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Some college, associate's degree\",\n",
       " \"Estimate!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Bachelor's degree or higher\",\n",
       " \"Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Bachelor's degree or higher\",\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Male',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Male',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Female',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Female',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Male',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Male',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Female',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Female',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked part-time or part-year in the past 12 months',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked part-time or part-year in the past 12 months',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Did not work',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Did not work',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level',\n",
       " 'Margin of Error!!Below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Male',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Male',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Female',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Female',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!15 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!15 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!16 to 17 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!16 to 17 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!18 to 24 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!18 to 24 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!25 to 34 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!25 to 34 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!35 to 44 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!35 to 44 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!45 to 54 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!45 to 54 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!55 to 64 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!55 to 64 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!65 to 74 years',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!65 to 74 years',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work',\n",
       " 'Margin of Error!!Below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Under 5 years',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!5 to 17 years',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Related children of householder under 18 years',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!Under 18 years!!Related children of householder under 18 years',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!18 to 34 years',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!18 to 34 years',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!35 to 64 years',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!18 to 64 years!!35 to 64 years',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!60 years and over',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!60 years and over',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!65 years and over',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!AGE!!65 years and over',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!SEX!!Male',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!SEX!!Male',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!SEX!!Female',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!SEX!!Female',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Two or more races',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Two or more races',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Less than high school graduate',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Less than high school graduate',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!High school graduate (includes equivalency)',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!High school graduate (includes equivalency)',\n",
       " \"Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Some college, associate's degree\",\n",
       " \"Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Some college, associate's degree\",\n",
       " \"Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Bachelor's degree or higher\",\n",
       " \"Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EDUCATIONAL ATTAINMENT!!Population 25 years and over!!Bachelor's degree or higher\",\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Male',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Male',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Female',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Employed!!Female',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Male',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Male',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Female',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!EMPLOYMENT STATUS!!Civilian labor force 16 years and over!!Unemployed!!Female',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked part-time or part-year in the past 12 months',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Worked part-time or part-year in the past 12 months',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Did not work',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!WORK EXPERIENCE!!Population 16 years and over!!Did not work',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level',\n",
       " 'Margin of Error!!Percent below poverty level!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Male',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Male',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Female',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Female',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!15 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!15 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!16 to 17 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!16 to 17 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!18 to 24 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!18 to 24 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!25 to 34 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!25 to 34 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!35 to 44 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!35 to 44 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!45 to 54 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!45 to 54 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!55 to 64 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!55 to 64 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!65 to 74 years',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!65 to 74 years',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!75 years and over',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Mean income deficit for unrelated individuals (dollars)',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Worked less than full-time, year-round in the past 12 months',\n",
       " 'Estimate!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work',\n",
       " 'Margin of Error!!Percent below poverty level!!UNRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERMINED!!Did not work']"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(df_census.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Filtering for the columns of interest\n",
    "df_ses = df_census.filter(['id',  \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined',\n",
    "                           'Estimate!!Below poverty level!!Population for whom poverty status is determined',\n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level', \n",
    "                           'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>id</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Below poverty level!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8600000US75001</td>\n",
       "      <td>14972</td>\n",
       "      <td>1626</td>\n",
       "      <td>6440</td>\n",
       "      <td>2194</td>\n",
       "      <td>115</td>\n",
       "      <td>1495</td>\n",
       "      <td>0</td>\n",
       "      <td>1800</td>\n",
       "      <td>3893</td>\n",
       "      <td>619</td>\n",
       "      <td>2311</td>\n",
       "      <td>2808</td>\n",
       "      <td>3657</td>\n",
       "      <td>3838</td>\n",
       "      <td>5983</td>\n",
       "      <td>8019</td>\n",
       "      <td>9729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8600000US75002</td>\n",
       "      <td>70980</td>\n",
       "      <td>3474</td>\n",
       "      <td>45316</td>\n",
       "      <td>7553</td>\n",
       "      <td>299</td>\n",
       "      <td>7171</td>\n",
       "      <td>0</td>\n",
       "      <td>1296</td>\n",
       "      <td>9274</td>\n",
       "      <td>1442</td>\n",
       "      <td>4902</td>\n",
       "      <td>7051</td>\n",
       "      <td>10770</td>\n",
       "      <td>12176</td>\n",
       "      <td>22516</td>\n",
       "      <td>30615</td>\n",
       "      <td>40612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8600000US75006</td>\n",
       "      <td>51248</td>\n",
       "      <td>5532</td>\n",
       "      <td>17345</td>\n",
       "      <td>4443</td>\n",
       "      <td>80</td>\n",
       "      <td>3849</td>\n",
       "      <td>44</td>\n",
       "      <td>1955</td>\n",
       "      <td>24873</td>\n",
       "      <td>2181</td>\n",
       "      <td>9006</td>\n",
       "      <td>12326</td>\n",
       "      <td>16212</td>\n",
       "      <td>17753</td>\n",
       "      <td>27595</td>\n",
       "      <td>34229</td>\n",
       "      <td>39307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8600000US75007</td>\n",
       "      <td>55409</td>\n",
       "      <td>3713</td>\n",
       "      <td>24759</td>\n",
       "      <td>5062</td>\n",
       "      <td>279</td>\n",
       "      <td>8917</td>\n",
       "      <td>90</td>\n",
       "      <td>1574</td>\n",
       "      <td>15526</td>\n",
       "      <td>1621</td>\n",
       "      <td>5551</td>\n",
       "      <td>7324</td>\n",
       "      <td>10742</td>\n",
       "      <td>11998</td>\n",
       "      <td>19677</td>\n",
       "      <td>27641</td>\n",
       "      <td>33908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8600000US75009</td>\n",
       "      <td>13946</td>\n",
       "      <td>552</td>\n",
       "      <td>10002</td>\n",
       "      <td>995</td>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>179</td>\n",
       "      <td>2614</td>\n",
       "      <td>411</td>\n",
       "      <td>841</td>\n",
       "      <td>1205</td>\n",
       "      <td>1695</td>\n",
       "      <td>2033</td>\n",
       "      <td>3537</td>\n",
       "      <td>4721</td>\n",
       "      <td>8425</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               id  \\\n",
       "0  8600000US75001   \n",
       "1  8600000US75002   \n",
       "2  8600000US75006   \n",
       "3  8600000US75007   \n",
       "4  8600000US75009   \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined  \\\n",
       "0                                              14972                   \n",
       "1                                              70980                   \n",
       "2                                              51248                   \n",
       "3                                              55409                   \n",
       "4                                              13946                   \n",
       "\n",
       "   Estimate!!Below poverty level!!Population for whom poverty status is determined  \\\n",
       "0                                               1626                                 \n",
       "1                                               3474                                 \n",
       "2                                               5532                                 \n",
       "3                                               3713                                 \n",
       "4                                                552                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino  \\\n",
       "0                                               6440                                                                                            \n",
       "1                                              45316                                                                                            \n",
       "2                                              17345                                                                                            \n",
       "3                                              24759                                                                                            \n",
       "4                                              10002                                                                                            \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone  \\\n",
       "0                                               2194                                                                                        \n",
       "1                                               7553                                                                                        \n",
       "2                                               4443                                                                                        \n",
       "3                                               5062                                                                                        \n",
       "4                                                995                                                                                        \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone  \\\n",
       "0                                                115                                                                                                \n",
       "1                                                299                                                                                                \n",
       "2                                                 80                                                                                                \n",
       "3                                                279                                                                                                \n",
       "4                                                 37                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone  \\\n",
       "0                                               1495                                                                    \n",
       "1                                               7171                                                                    \n",
       "2                                               3849                                                                    \n",
       "3                                               8917                                                                    \n",
       "4                                                 35                                                                    \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone  \\\n",
       "0                                                  0                                                                                                         \n",
       "1                                                  0                                                                                                         \n",
       "2                                                 44                                                                                                         \n",
       "3                                                 90                                                                                                         \n",
       "4                                                  0                                                                                                         \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone  \\\n",
       "0                                               1800                                                                              \n",
       "1                                               1296                                                                              \n",
       "2                                               1955                                                                              \n",
       "3                                               1574                                                                              \n",
       "4                                                179                                                                              \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)  \\\n",
       "0                                               3893                                                                                                \n",
       "1                                               9274                                                                                                \n",
       "2                                              24873                                                                                                \n",
       "3                                              15526                                                                                                \n",
       "4                                               2614                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level  \\\n",
       "0                                                619                                                                                                                \n",
       "1                                               1442                                                                                                                \n",
       "2                                               2181                                                                                                                \n",
       "3                                               1621                                                                                                                \n",
       "4                                                411                                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level  \\\n",
       "0                                               2311                                                                                                                 \n",
       "1                                               4902                                                                                                                 \n",
       "2                                               9006                                                                                                                 \n",
       "3                                               5551                                                                                                                 \n",
       "4                                                841                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level  \\\n",
       "0                                               2808                                                                                                                 \n",
       "1                                               7051                                                                                                                 \n",
       "2                                              12326                                                                                                                 \n",
       "3                                               7324                                                                                                                 \n",
       "4                                               1205                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level  \\\n",
       "0                                               3657                                                                                                                 \n",
       "1                                              10770                                                                                                                 \n",
       "2                                              16212                                                                                                                 \n",
       "3                                              10742                                                                                                                 \n",
       "4                                               1695                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level  \\\n",
       "0                                               3838                                                                                                                 \n",
       "1                                              12176                                                                                                                 \n",
       "2                                              17753                                                                                                                 \n",
       "3                                              11998                                                                                                                 \n",
       "4                                               2033                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level  \\\n",
       "0                                               5983                                                                                                                 \n",
       "1                                              22516                                                                                                                 \n",
       "2                                              27595                                                                                                                 \n",
       "3                                              19677                                                                                                                 \n",
       "4                                               3537                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level  \\\n",
       "0                                               8019                                                                                                                 \n",
       "1                                              30615                                                                                                                 \n",
       "2                                              34229                                                                                                                 \n",
       "3                                              27641                                                                                                                 \n",
       "4                                               4721                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level  \n",
       "0                                               9729                                                                                                                \n",
       "1                                              40612                                                                                                                \n",
       "2                                              39307                                                                                                                \n",
       "3                                              33908                                                                                                                \n",
       "4                                               8425                                                                                                                "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ses.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Remove the beginning of the id column to just get the ZIP code\n",
    "df_ses['id'] = df_ses['id'].map(lambda x: x.lstrip('8600000US'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>id</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Below poverty level!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>75001</td>\n",
       "      <td>14972</td>\n",
       "      <td>1626</td>\n",
       "      <td>6440</td>\n",
       "      <td>2194</td>\n",
       "      <td>115</td>\n",
       "      <td>1495</td>\n",
       "      <td>0</td>\n",
       "      <td>1800</td>\n",
       "      <td>3893</td>\n",
       "      <td>619</td>\n",
       "      <td>2311</td>\n",
       "      <td>2808</td>\n",
       "      <td>3657</td>\n",
       "      <td>3838</td>\n",
       "      <td>5983</td>\n",
       "      <td>8019</td>\n",
       "      <td>9729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>75002</td>\n",
       "      <td>70980</td>\n",
       "      <td>3474</td>\n",
       "      <td>45316</td>\n",
       "      <td>7553</td>\n",
       "      <td>299</td>\n",
       "      <td>7171</td>\n",
       "      <td>0</td>\n",
       "      <td>1296</td>\n",
       "      <td>9274</td>\n",
       "      <td>1442</td>\n",
       "      <td>4902</td>\n",
       "      <td>7051</td>\n",
       "      <td>10770</td>\n",
       "      <td>12176</td>\n",
       "      <td>22516</td>\n",
       "      <td>30615</td>\n",
       "      <td>40612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>75006</td>\n",
       "      <td>51248</td>\n",
       "      <td>5532</td>\n",
       "      <td>17345</td>\n",
       "      <td>4443</td>\n",
       "      <td>80</td>\n",
       "      <td>3849</td>\n",
       "      <td>44</td>\n",
       "      <td>1955</td>\n",
       "      <td>24873</td>\n",
       "      <td>2181</td>\n",
       "      <td>9006</td>\n",
       "      <td>12326</td>\n",
       "      <td>16212</td>\n",
       "      <td>17753</td>\n",
       "      <td>27595</td>\n",
       "      <td>34229</td>\n",
       "      <td>39307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>75007</td>\n",
       "      <td>55409</td>\n",
       "      <td>3713</td>\n",
       "      <td>24759</td>\n",
       "      <td>5062</td>\n",
       "      <td>279</td>\n",
       "      <td>8917</td>\n",
       "      <td>90</td>\n",
       "      <td>1574</td>\n",
       "      <td>15526</td>\n",
       "      <td>1621</td>\n",
       "      <td>5551</td>\n",
       "      <td>7324</td>\n",
       "      <td>10742</td>\n",
       "      <td>11998</td>\n",
       "      <td>19677</td>\n",
       "      <td>27641</td>\n",
       "      <td>33908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>75009</td>\n",
       "      <td>13946</td>\n",
       "      <td>552</td>\n",
       "      <td>10002</td>\n",
       "      <td>995</td>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>179</td>\n",
       "      <td>2614</td>\n",
       "      <td>411</td>\n",
       "      <td>841</td>\n",
       "      <td>1205</td>\n",
       "      <td>1695</td>\n",
       "      <td>2033</td>\n",
       "      <td>3537</td>\n",
       "      <td>4721</td>\n",
       "      <td>8425</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  Estimate!!Total!!Population for whom poverty status is determined  \\\n",
       "0  75001                                              14972                   \n",
       "1  75002                                              70980                   \n",
       "2  75006                                              51248                   \n",
       "3  75007                                              55409                   \n",
       "4  75009                                              13946                   \n",
       "\n",
       "   Estimate!!Below poverty level!!Population for whom poverty status is determined  \\\n",
       "0                                               1626                                 \n",
       "1                                               3474                                 \n",
       "2                                               5532                                 \n",
       "3                                               3713                                 \n",
       "4                                                552                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino  \\\n",
       "0                                               6440                                                                                            \n",
       "1                                              45316                                                                                            \n",
       "2                                              17345                                                                                            \n",
       "3                                              24759                                                                                            \n",
       "4                                              10002                                                                                            \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone  \\\n",
       "0                                               2194                                                                                        \n",
       "1                                               7553                                                                                        \n",
       "2                                               4443                                                                                        \n",
       "3                                               5062                                                                                        \n",
       "4                                                995                                                                                        \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone  \\\n",
       "0                                                115                                                                                                \n",
       "1                                                299                                                                                                \n",
       "2                                                 80                                                                                                \n",
       "3                                                279                                                                                                \n",
       "4                                                 37                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone  \\\n",
       "0                                               1495                                                                    \n",
       "1                                               7171                                                                    \n",
       "2                                               3849                                                                    \n",
       "3                                               8917                                                                    \n",
       "4                                                 35                                                                    \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone  \\\n",
       "0                                                  0                                                                                                         \n",
       "1                                                  0                                                                                                         \n",
       "2                                                 44                                                                                                         \n",
       "3                                                 90                                                                                                         \n",
       "4                                                  0                                                                                                         \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone  \\\n",
       "0                                               1800                                                                              \n",
       "1                                               1296                                                                              \n",
       "2                                               1955                                                                              \n",
       "3                                               1574                                                                              \n",
       "4                                                179                                                                              \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)  \\\n",
       "0                                               3893                                                                                                \n",
       "1                                               9274                                                                                                \n",
       "2                                              24873                                                                                                \n",
       "3                                              15526                                                                                                \n",
       "4                                               2614                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level  \\\n",
       "0                                                619                                                                                                                \n",
       "1                                               1442                                                                                                                \n",
       "2                                               2181                                                                                                                \n",
       "3                                               1621                                                                                                                \n",
       "4                                                411                                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level  \\\n",
       "0                                               2311                                                                                                                 \n",
       "1                                               4902                                                                                                                 \n",
       "2                                               9006                                                                                                                 \n",
       "3                                               5551                                                                                                                 \n",
       "4                                                841                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level  \\\n",
       "0                                               2808                                                                                                                 \n",
       "1                                               7051                                                                                                                 \n",
       "2                                              12326                                                                                                                 \n",
       "3                                               7324                                                                                                                 \n",
       "4                                               1205                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level  \\\n",
       "0                                               3657                                                                                                                 \n",
       "1                                              10770                                                                                                                 \n",
       "2                                              16212                                                                                                                 \n",
       "3                                              10742                                                                                                                 \n",
       "4                                               1695                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level  \\\n",
       "0                                               3838                                                                                                                 \n",
       "1                                              12176                                                                                                                 \n",
       "2                                              17753                                                                                                                 \n",
       "3                                              11998                                                                                                                 \n",
       "4                                               2033                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level  \\\n",
       "0                                               5983                                                                                                                 \n",
       "1                                              22516                                                                                                                 \n",
       "2                                              27595                                                                                                                 \n",
       "3                                              19677                                                                                                                 \n",
       "4                                               3537                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level  \\\n",
       "0                                               8019                                                                                                                 \n",
       "1                                              30615                                                                                                                 \n",
       "2                                              34229                                                                                                                 \n",
       "3                                              27641                                                                                                                 \n",
       "4                                               4721                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level  \n",
       "0                                               9729                                                                                                                \n",
       "1                                              40612                                                                                                                \n",
       "2                                              39307                                                                                                                \n",
       "3                                              33908                                                                                                                \n",
       "4                                               8425                                                                                                                "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ses.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Rename id column to ZIP\n",
    "df_ses = df_ses.rename(columns={'id': 'ZIP'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Join the two datasets\n",
    "df_merge = pd.merge(df_zip_tr, df_ses, on=[\"ZIP\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "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>ZIP</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Below poverty level!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "      <td>47393</td>\n",
       "      <td>5931</td>\n",
       "      <td>26461</td>\n",
       "      <td>1100</td>\n",
       "      <td>76</td>\n",
       "      <td>494</td>\n",
       "      <td>13</td>\n",
       "      <td>1325</td>\n",
       "      <td>18908</td>\n",
       "      <td>1891</td>\n",
       "      <td>7741</td>\n",
       "      <td>9818</td>\n",
       "      <td>14205</td>\n",
       "      <td>15268</td>\n",
       "      <td>23251</td>\n",
       "      <td>30513</td>\n",
       "      <td>36470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "      <td>17599</td>\n",
       "      <td>2335</td>\n",
       "      <td>6455</td>\n",
       "      <td>524</td>\n",
       "      <td>12</td>\n",
       "      <td>1104</td>\n",
       "      <td>7</td>\n",
       "      <td>343</td>\n",
       "      <td>9540</td>\n",
       "      <td>671</td>\n",
       "      <td>3503</td>\n",
       "      <td>4676</td>\n",
       "      <td>6138</td>\n",
       "      <td>6615</td>\n",
       "      <td>9806</td>\n",
       "      <td>12076</td>\n",
       "      <td>13981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "      <td>31865</td>\n",
       "      <td>2375</td>\n",
       "      <td>18515</td>\n",
       "      <td>462</td>\n",
       "      <td>294</td>\n",
       "      <td>527</td>\n",
       "      <td>0</td>\n",
       "      <td>897</td>\n",
       "      <td>11906</td>\n",
       "      <td>1044</td>\n",
       "      <td>2795</td>\n",
       "      <td>4009</td>\n",
       "      <td>5969</td>\n",
       "      <td>6653</td>\n",
       "      <td>11761</td>\n",
       "      <td>17467</td>\n",
       "      <td>21405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>5650</td>\n",
       "      <td>6267</td>\n",
       "      <td>4154</td>\n",
       "      <td>0</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>1082</td>\n",
       "      <td>22527</td>\n",
       "      <td>3168</td>\n",
       "      <td>8599</td>\n",
       "      <td>10645</td>\n",
       "      <td>13354</td>\n",
       "      <td>14063</td>\n",
       "      <td>20371</td>\n",
       "      <td>26794</td>\n",
       "      <td>29216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "      <td>24147</td>\n",
       "      <td>5698</td>\n",
       "      <td>4847</td>\n",
       "      <td>97</td>\n",
       "      <td>141</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>531</td>\n",
       "      <td>19058</td>\n",
       "      <td>2525</td>\n",
       "      <td>6593</td>\n",
       "      <td>7546</td>\n",
       "      <td>9222</td>\n",
       "      <td>10028</td>\n",
       "      <td>14100</td>\n",
       "      <td>17461</td>\n",
       "      <td>20151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>77061</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>26253</td>\n",
       "      <td>5257</td>\n",
       "      <td>2165</td>\n",
       "      <td>6134</td>\n",
       "      <td>63</td>\n",
       "      <td>1431</td>\n",
       "      <td>23</td>\n",
       "      <td>5847</td>\n",
       "      <td>16671</td>\n",
       "      <td>2694</td>\n",
       "      <td>7409</td>\n",
       "      <td>9808</td>\n",
       "      <td>12169</td>\n",
       "      <td>13626</td>\n",
       "      <td>18158</td>\n",
       "      <td>20423</td>\n",
       "      <td>23237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>78735</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17814</td>\n",
       "      <td>1334</td>\n",
       "      <td>11829</td>\n",
       "      <td>518</td>\n",
       "      <td>0</td>\n",
       "      <td>1589</td>\n",
       "      <td>0</td>\n",
       "      <td>225</td>\n",
       "      <td>3572</td>\n",
       "      <td>380</td>\n",
       "      <td>1588</td>\n",
       "      <td>2006</td>\n",
       "      <td>2422</td>\n",
       "      <td>2638</td>\n",
       "      <td>3941</td>\n",
       "      <td>5620</td>\n",
       "      <td>7056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>76155</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5813</td>\n",
       "      <td>486</td>\n",
       "      <td>1374</td>\n",
       "      <td>1994</td>\n",
       "      <td>54</td>\n",
       "      <td>952</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>1205</td>\n",
       "      <td>191</td>\n",
       "      <td>510</td>\n",
       "      <td>760</td>\n",
       "      <td>1369</td>\n",
       "      <td>1519</td>\n",
       "      <td>2661</td>\n",
       "      <td>3842</td>\n",
       "      <td>4518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>77048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>18296</td>\n",
       "      <td>4444</td>\n",
       "      <td>416</td>\n",
       "      <td>12224</td>\n",
       "      <td>10</td>\n",
       "      <td>309</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "      <td>5399</td>\n",
       "      <td>2438</td>\n",
       "      <td>6515</td>\n",
       "      <td>7355</td>\n",
       "      <td>8853</td>\n",
       "      <td>9230</td>\n",
       "      <td>11157</td>\n",
       "      <td>13361</td>\n",
       "      <td>15442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>78254</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>58690</td>\n",
       "      <td>3852</td>\n",
       "      <td>20533</td>\n",
       "      <td>3593</td>\n",
       "      <td>453</td>\n",
       "      <td>1800</td>\n",
       "      <td>201</td>\n",
       "      <td>3977</td>\n",
       "      <td>31686</td>\n",
       "      <td>1703</td>\n",
       "      <td>5256</td>\n",
       "      <td>6884</td>\n",
       "      <td>8771</td>\n",
       "      <td>10583</td>\n",
       "      <td>21294</td>\n",
       "      <td>30932</td>\n",
       "      <td>39559</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>461 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ZIP  101. TOTAL RELEASES  \\\n",
       "0    77511         4.881777e+06   \n",
       "1    77979         3.529298e+06   \n",
       "2    77536         3.511945e+06   \n",
       "3    77530         1.386491e+06   \n",
       "4    78380         1.007567e+06   \n",
       "..     ...                  ...   \n",
       "456  77061         0.000000e+00   \n",
       "457  78735         0.000000e+00   \n",
       "458  76155         0.000000e+00   \n",
       "459  77048         0.000000e+00   \n",
       "460  78254         0.000000e+00   \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined  \\\n",
       "0                                                47393                   \n",
       "1                                                17599                   \n",
       "2                                                31865                   \n",
       "3                                                33387                   \n",
       "4                                                24147                   \n",
       "..                                                 ...                   \n",
       "456                                              26253                   \n",
       "457                                              17814                   \n",
       "458                                               5813                   \n",
       "459                                              18296                   \n",
       "460                                              58690                   \n",
       "\n",
       "     Estimate!!Below poverty level!!Population for whom poverty status is determined  \\\n",
       "0                                                 5931                                 \n",
       "1                                                 2335                                 \n",
       "2                                                 2375                                 \n",
       "3                                                 5650                                 \n",
       "4                                                 5698                                 \n",
       "..                                                 ...                                 \n",
       "456                                               5257                                 \n",
       "457                                               1334                                 \n",
       "458                                                486                                 \n",
       "459                                               4444                                 \n",
       "460                                               3852                                 \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino  \\\n",
       "0                                                26461                                                                                            \n",
       "1                                                 6455                                                                                            \n",
       "2                                                18515                                                                                            \n",
       "3                                                 6267                                                                                            \n",
       "4                                                 4847                                                                                            \n",
       "..                                                 ...                                                                                            \n",
       "456                                               2165                                                                                            \n",
       "457                                              11829                                                                                            \n",
       "458                                               1374                                                                                            \n",
       "459                                                416                                                                                            \n",
       "460                                              20533                                                                                            \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone  \\\n",
       "0                                                 1100                                                                                        \n",
       "1                                                  524                                                                                        \n",
       "2                                                  462                                                                                        \n",
       "3                                                 4154                                                                                        \n",
       "4                                                   97                                                                                        \n",
       "..                                                 ...                                                                                        \n",
       "456                                               6134                                                                                        \n",
       "457                                                518                                                                                        \n",
       "458                                               1994                                                                                        \n",
       "459                                              12224                                                                                        \n",
       "460                                               3593                                                                                        \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone  \\\n",
       "0                                                   76                                                                                                \n",
       "1                                                   12                                                                                                \n",
       "2                                                  294                                                                                                \n",
       "3                                                    0                                                                                                \n",
       "4                                                  141                                                                                                \n",
       "..                                                 ...                                                                                                \n",
       "456                                                 63                                                                                                \n",
       "457                                                  0                                                                                                \n",
       "458                                                 54                                                                                                \n",
       "459                                                 10                                                                                                \n",
       "460                                                453                                                                                                \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone  \\\n",
       "0                                                  494                                                                    \n",
       "1                                                 1104                                                                    \n",
       "2                                                  527                                                                    \n",
       "3                                                   62                                                                    \n",
       "4                                                   15                                                                    \n",
       "..                                                 ...                                                                    \n",
       "456                                               1431                                                                    \n",
       "457                                               1589                                                                    \n",
       "458                                                952                                                                    \n",
       "459                                                309                                                                    \n",
       "460                                               1800                                                                    \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone  \\\n",
       "0                                                   13                                                                                                         \n",
       "1                                                    7                                                                                                         \n",
       "2                                                    0                                                                                                         \n",
       "3                                                    0                                                                                                         \n",
       "4                                                    0                                                                                                         \n",
       "..                                                 ...                                                                                                         \n",
       "456                                                 23                                                                                                         \n",
       "457                                                  0                                                                                                         \n",
       "458                                                  0                                                                                                         \n",
       "459                                                  0                                                                                                         \n",
       "460                                                201                                                                                                         \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone  \\\n",
       "0                                                 1325                                                                              \n",
       "1                                                  343                                                                              \n",
       "2                                                  897                                                                              \n",
       "3                                                 1082                                                                              \n",
       "4                                                  531                                                                              \n",
       "..                                                 ...                                                                              \n",
       "456                                               5847                                                                              \n",
       "457                                                225                                                                              \n",
       "458                                                211                                                                              \n",
       "459                                               1349                                                                              \n",
       "460                                               3977                                                                              \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)  \\\n",
       "0                                                18908                                                                                                \n",
       "1                                                 9540                                                                                                \n",
       "2                                                11906                                                                                                \n",
       "3                                                22527                                                                                                \n",
       "4                                                19058                                                                                                \n",
       "..                                                 ...                                                                                                \n",
       "456                                              16671                                                                                                \n",
       "457                                               3572                                                                                                \n",
       "458                                               1205                                                                                                \n",
       "459                                               5399                                                                                                \n",
       "460                                              31686                                                                                                \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level  \\\n",
       "0                                                 1891                                                                                                                \n",
       "1                                                  671                                                                                                                \n",
       "2                                                 1044                                                                                                                \n",
       "3                                                 3168                                                                                                                \n",
       "4                                                 2525                                                                                                                \n",
       "..                                                 ...                                                                                                                \n",
       "456                                               2694                                                                                                                \n",
       "457                                                380                                                                                                                \n",
       "458                                                191                                                                                                                \n",
       "459                                               2438                                                                                                                \n",
       "460                                               1703                                                                                                                \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level  \\\n",
       "0                                                 7741                                                                                                                 \n",
       "1                                                 3503                                                                                                                 \n",
       "2                                                 2795                                                                                                                 \n",
       "3                                                 8599                                                                                                                 \n",
       "4                                                 6593                                                                                                                 \n",
       "..                                                 ...                                                                                                                 \n",
       "456                                               7409                                                                                                                 \n",
       "457                                               1588                                                                                                                 \n",
       "458                                                510                                                                                                                 \n",
       "459                                               6515                                                                                                                 \n",
       "460                                               5256                                                                                                                 \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level  \\\n",
       "0                                                 9818                                                                                                                 \n",
       "1                                                 4676                                                                                                                 \n",
       "2                                                 4009                                                                                                                 \n",
       "3                                                10645                                                                                                                 \n",
       "4                                                 7546                                                                                                                 \n",
       "..                                                 ...                                                                                                                 \n",
       "456                                               9808                                                                                                                 \n",
       "457                                               2006                                                                                                                 \n",
       "458                                                760                                                                                                                 \n",
       "459                                               7355                                                                                                                 \n",
       "460                                               6884                                                                                                                 \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level  \\\n",
       "0                                                14205                                                                                                                 \n",
       "1                                                 6138                                                                                                                 \n",
       "2                                                 5969                                                                                                                 \n",
       "3                                                13354                                                                                                                 \n",
       "4                                                 9222                                                                                                                 \n",
       "..                                                 ...                                                                                                                 \n",
       "456                                              12169                                                                                                                 \n",
       "457                                               2422                                                                                                                 \n",
       "458                                               1369                                                                                                                 \n",
       "459                                               8853                                                                                                                 \n",
       "460                                               8771                                                                                                                 \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level  \\\n",
       "0                                                15268                                                                                                                 \n",
       "1                                                 6615                                                                                                                 \n",
       "2                                                 6653                                                                                                                 \n",
       "3                                                14063                                                                                                                 \n",
       "4                                                10028                                                                                                                 \n",
       "..                                                 ...                                                                                                                 \n",
       "456                                              13626                                                                                                                 \n",
       "457                                               2638                                                                                                                 \n",
       "458                                               1519                                                                                                                 \n",
       "459                                               9230                                                                                                                 \n",
       "460                                              10583                                                                                                                 \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level  \\\n",
       "0                                                23251                                                                                                                 \n",
       "1                                                 9806                                                                                                                 \n",
       "2                                                11761                                                                                                                 \n",
       "3                                                20371                                                                                                                 \n",
       "4                                                14100                                                                                                                 \n",
       "..                                                 ...                                                                                                                 \n",
       "456                                              18158                                                                                                                 \n",
       "457                                               3941                                                                                                                 \n",
       "458                                               2661                                                                                                                 \n",
       "459                                              11157                                                                                                                 \n",
       "460                                              21294                                                                                                                 \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level  \\\n",
       "0                                                30513                                                                                                                 \n",
       "1                                                12076                                                                                                                 \n",
       "2                                                17467                                                                                                                 \n",
       "3                                                26794                                                                                                                 \n",
       "4                                                17461                                                                                                                 \n",
       "..                                                 ...                                                                                                                 \n",
       "456                                              20423                                                                                                                 \n",
       "457                                               5620                                                                                                                 \n",
       "458                                               3842                                                                                                                 \n",
       "459                                              13361                                                                                                                 \n",
       "460                                              30932                                                                                                                 \n",
       "\n",
       "     Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level  \n",
       "0                                                36470                                                                                                                \n",
       "1                                                13981                                                                                                                \n",
       "2                                                21405                                                                                                                \n",
       "3                                                29216                                                                                                                \n",
       "4                                                20151                                                                                                                \n",
       "..                                                 ...                                                                                                                \n",
       "456                                              23237                                                                                                                \n",
       "457                                               7056                                                                                                                \n",
       "458                                               4518                                                                                                                \n",
       "459                                              15442                                                                                                                \n",
       "460                                              39559                                                                                                                \n",
       "\n",
       "[461 rows x 19 columns]"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Renaming Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_merge = df_merge.rename(columns={'101. TOTAL RELEASES':'Total Releases',\n",
    "                                    'Estimate!!Below poverty level!!Population for whom poverty status is determined':'Population_Below_Poverty_Level',\n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined':'Total Population',\n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino':'Population_White', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone':'Population_Black_African_American', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone':'Population_American_Indian', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone':'Population_Asian', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone':'Population_Native_Hawaiian_PI', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone':'Population_Other_Race', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)':'Population_Hispanic_Latino', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level':'Pop_50_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level':'Pop_125_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level':'Pop_150_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level':'Pop_185_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level':'Pop_200_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level':'Pop_300_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level':'Pop_400_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level':'Pop_500_PL'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ZIP</th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Population_Below_Poverty_Level</th>\n",
       "      <th>Population_White</th>\n",
       "      <th>Population_Black_African_American</th>\n",
       "      <th>Population_American_Indian</th>\n",
       "      <th>Population_Asian</th>\n",
       "      <th>Population_Native_Hawaiian_PI</th>\n",
       "      <th>Population_Other_Race</th>\n",
       "      <th>Population_Hispanic_Latino</th>\n",
       "      <th>Pop_50_PL</th>\n",
       "      <th>Pop_125_PL</th>\n",
       "      <th>Pop_150_PL</th>\n",
       "      <th>Pop_185_PL</th>\n",
       "      <th>Pop_200_PL</th>\n",
       "      <th>Pop_300_PL</th>\n",
       "      <th>Pop_400_PL</th>\n",
       "      <th>Pop_500_PL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "      <td>47393</td>\n",
       "      <td>5931</td>\n",
       "      <td>26461</td>\n",
       "      <td>1100</td>\n",
       "      <td>76</td>\n",
       "      <td>494</td>\n",
       "      <td>13</td>\n",
       "      <td>1325</td>\n",
       "      <td>18908</td>\n",
       "      <td>1891</td>\n",
       "      <td>7741</td>\n",
       "      <td>9818</td>\n",
       "      <td>14205</td>\n",
       "      <td>15268</td>\n",
       "      <td>23251</td>\n",
       "      <td>30513</td>\n",
       "      <td>36470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "      <td>17599</td>\n",
       "      <td>2335</td>\n",
       "      <td>6455</td>\n",
       "      <td>524</td>\n",
       "      <td>12</td>\n",
       "      <td>1104</td>\n",
       "      <td>7</td>\n",
       "      <td>343</td>\n",
       "      <td>9540</td>\n",
       "      <td>671</td>\n",
       "      <td>3503</td>\n",
       "      <td>4676</td>\n",
       "      <td>6138</td>\n",
       "      <td>6615</td>\n",
       "      <td>9806</td>\n",
       "      <td>12076</td>\n",
       "      <td>13981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "      <td>31865</td>\n",
       "      <td>2375</td>\n",
       "      <td>18515</td>\n",
       "      <td>462</td>\n",
       "      <td>294</td>\n",
       "      <td>527</td>\n",
       "      <td>0</td>\n",
       "      <td>897</td>\n",
       "      <td>11906</td>\n",
       "      <td>1044</td>\n",
       "      <td>2795</td>\n",
       "      <td>4009</td>\n",
       "      <td>5969</td>\n",
       "      <td>6653</td>\n",
       "      <td>11761</td>\n",
       "      <td>17467</td>\n",
       "      <td>21405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>5650</td>\n",
       "      <td>6267</td>\n",
       "      <td>4154</td>\n",
       "      <td>0</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>1082</td>\n",
       "      <td>22527</td>\n",
       "      <td>3168</td>\n",
       "      <td>8599</td>\n",
       "      <td>10645</td>\n",
       "      <td>13354</td>\n",
       "      <td>14063</td>\n",
       "      <td>20371</td>\n",
       "      <td>26794</td>\n",
       "      <td>29216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "      <td>24147</td>\n",
       "      <td>5698</td>\n",
       "      <td>4847</td>\n",
       "      <td>97</td>\n",
       "      <td>141</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>531</td>\n",
       "      <td>19058</td>\n",
       "      <td>2525</td>\n",
       "      <td>6593</td>\n",
       "      <td>7546</td>\n",
       "      <td>9222</td>\n",
       "      <td>10028</td>\n",
       "      <td>14100</td>\n",
       "      <td>17461</td>\n",
       "      <td>20151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>77061</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>26253</td>\n",
       "      <td>5257</td>\n",
       "      <td>2165</td>\n",
       "      <td>6134</td>\n",
       "      <td>63</td>\n",
       "      <td>1431</td>\n",
       "      <td>23</td>\n",
       "      <td>5847</td>\n",
       "      <td>16671</td>\n",
       "      <td>2694</td>\n",
       "      <td>7409</td>\n",
       "      <td>9808</td>\n",
       "      <td>12169</td>\n",
       "      <td>13626</td>\n",
       "      <td>18158</td>\n",
       "      <td>20423</td>\n",
       "      <td>23237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>78735</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17814</td>\n",
       "      <td>1334</td>\n",
       "      <td>11829</td>\n",
       "      <td>518</td>\n",
       "      <td>0</td>\n",
       "      <td>1589</td>\n",
       "      <td>0</td>\n",
       "      <td>225</td>\n",
       "      <td>3572</td>\n",
       "      <td>380</td>\n",
       "      <td>1588</td>\n",
       "      <td>2006</td>\n",
       "      <td>2422</td>\n",
       "      <td>2638</td>\n",
       "      <td>3941</td>\n",
       "      <td>5620</td>\n",
       "      <td>7056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>76155</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5813</td>\n",
       "      <td>486</td>\n",
       "      <td>1374</td>\n",
       "      <td>1994</td>\n",
       "      <td>54</td>\n",
       "      <td>952</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>1205</td>\n",
       "      <td>191</td>\n",
       "      <td>510</td>\n",
       "      <td>760</td>\n",
       "      <td>1369</td>\n",
       "      <td>1519</td>\n",
       "      <td>2661</td>\n",
       "      <td>3842</td>\n",
       "      <td>4518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>77048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>18296</td>\n",
       "      <td>4444</td>\n",
       "      <td>416</td>\n",
       "      <td>12224</td>\n",
       "      <td>10</td>\n",
       "      <td>309</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "      <td>5399</td>\n",
       "      <td>2438</td>\n",
       "      <td>6515</td>\n",
       "      <td>7355</td>\n",
       "      <td>8853</td>\n",
       "      <td>9230</td>\n",
       "      <td>11157</td>\n",
       "      <td>13361</td>\n",
       "      <td>15442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>78254</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>58690</td>\n",
       "      <td>3852</td>\n",
       "      <td>20533</td>\n",
       "      <td>3593</td>\n",
       "      <td>453</td>\n",
       "      <td>1800</td>\n",
       "      <td>201</td>\n",
       "      <td>3977</td>\n",
       "      <td>31686</td>\n",
       "      <td>1703</td>\n",
       "      <td>5256</td>\n",
       "      <td>6884</td>\n",
       "      <td>8771</td>\n",
       "      <td>10583</td>\n",
       "      <td>21294</td>\n",
       "      <td>30932</td>\n",
       "      <td>39559</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>461 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ZIP  Total Releases  Total Population  Population_Below_Poverty_Level  \\\n",
       "0    77511    4.881777e+06             47393                            5931   \n",
       "1    77979    3.529298e+06             17599                            2335   \n",
       "2    77536    3.511945e+06             31865                            2375   \n",
       "3    77530    1.386491e+06             33387                            5650   \n",
       "4    78380    1.007567e+06             24147                            5698   \n",
       "..     ...             ...               ...                             ...   \n",
       "456  77061    0.000000e+00             26253                            5257   \n",
       "457  78735    0.000000e+00             17814                            1334   \n",
       "458  76155    0.000000e+00              5813                             486   \n",
       "459  77048    0.000000e+00             18296                            4444   \n",
       "460  78254    0.000000e+00             58690                            3852   \n",
       "\n",
       "     Population_White  Population_Black_African_American  \\\n",
       "0               26461                               1100   \n",
       "1                6455                                524   \n",
       "2               18515                                462   \n",
       "3                6267                               4154   \n",
       "4                4847                                 97   \n",
       "..                ...                                ...   \n",
       "456              2165                               6134   \n",
       "457             11829                                518   \n",
       "458              1374                               1994   \n",
       "459               416                              12224   \n",
       "460             20533                               3593   \n",
       "\n",
       "     Population_American_Indian  Population_Asian  \\\n",
       "0                            76               494   \n",
       "1                            12              1104   \n",
       "2                           294               527   \n",
       "3                             0                62   \n",
       "4                           141                15   \n",
       "..                          ...               ...   \n",
       "456                          63              1431   \n",
       "457                           0              1589   \n",
       "458                          54               952   \n",
       "459                          10               309   \n",
       "460                         453              1800   \n",
       "\n",
       "     Population_Native_Hawaiian_PI  Population_Other_Race  \\\n",
       "0                               13                   1325   \n",
       "1                                7                    343   \n",
       "2                                0                    897   \n",
       "3                                0                   1082   \n",
       "4                                0                    531   \n",
       "..                             ...                    ...   \n",
       "456                             23                   5847   \n",
       "457                              0                    225   \n",
       "458                              0                    211   \n",
       "459                              0                   1349   \n",
       "460                            201                   3977   \n",
       "\n",
       "     Population_Hispanic_Latino  Pop_50_PL  Pop_125_PL  Pop_150_PL  \\\n",
       "0                         18908       1891        7741        9818   \n",
       "1                          9540        671        3503        4676   \n",
       "2                         11906       1044        2795        4009   \n",
       "3                         22527       3168        8599       10645   \n",
       "4                         19058       2525        6593        7546   \n",
       "..                          ...        ...         ...         ...   \n",
       "456                       16671       2694        7409        9808   \n",
       "457                        3572        380        1588        2006   \n",
       "458                        1205        191         510         760   \n",
       "459                        5399       2438        6515        7355   \n",
       "460                       31686       1703        5256        6884   \n",
       "\n",
       "     Pop_185_PL  Pop_200_PL  Pop_300_PL  Pop_400_PL  Pop_500_PL  \n",
       "0         14205       15268       23251       30513       36470  \n",
       "1          6138        6615        9806       12076       13981  \n",
       "2          5969        6653       11761       17467       21405  \n",
       "3         13354       14063       20371       26794       29216  \n",
       "4          9222       10028       14100       17461       20151  \n",
       "..          ...         ...         ...         ...         ...  \n",
       "456       12169       13626       18158       20423       23237  \n",
       "457        2422        2638        3941        5620        7056  \n",
       "458        1369        1519        2661        3842        4518  \n",
       "459        8853        9230       11157       13361       15442  \n",
       "460        8771       10583       21294       30932       39559  \n",
       "\n",
       "[461 rows x 19 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create New Columns of Percentages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_merge['Percent_White'] = (df_merge['Population_White'] / df_merge['Total Population'])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ZIP</th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Population_Below_Poverty_Level</th>\n",
       "      <th>Population_White</th>\n",
       "      <th>Population_Black_African_American</th>\n",
       "      <th>Population_American_Indian</th>\n",
       "      <th>Population_Asian</th>\n",
       "      <th>Population_Native_Hawaiian_PI</th>\n",
       "      <th>Population_Other_Race</th>\n",
       "      <th>Population_Hispanic_Latino</th>\n",
       "      <th>Pop_50_PL</th>\n",
       "      <th>Pop_125_PL</th>\n",
       "      <th>Pop_150_PL</th>\n",
       "      <th>Pop_185_PL</th>\n",
       "      <th>Pop_200_PL</th>\n",
       "      <th>Pop_300_PL</th>\n",
       "      <th>Pop_400_PL</th>\n",
       "      <th>Pop_500_PL</th>\n",
       "      <th>Percent_White</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "      <td>47393</td>\n",
       "      <td>5931</td>\n",
       "      <td>26461</td>\n",
       "      <td>1100</td>\n",
       "      <td>76</td>\n",
       "      <td>494</td>\n",
       "      <td>13</td>\n",
       "      <td>1325</td>\n",
       "      <td>18908</td>\n",
       "      <td>1891</td>\n",
       "      <td>7741</td>\n",
       "      <td>9818</td>\n",
       "      <td>14205</td>\n",
       "      <td>15268</td>\n",
       "      <td>23251</td>\n",
       "      <td>30513</td>\n",
       "      <td>36470</td>\n",
       "      <td>55.833140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "      <td>17599</td>\n",
       "      <td>2335</td>\n",
       "      <td>6455</td>\n",
       "      <td>524</td>\n",
       "      <td>12</td>\n",
       "      <td>1104</td>\n",
       "      <td>7</td>\n",
       "      <td>343</td>\n",
       "      <td>9540</td>\n",
       "      <td>671</td>\n",
       "      <td>3503</td>\n",
       "      <td>4676</td>\n",
       "      <td>6138</td>\n",
       "      <td>6615</td>\n",
       "      <td>9806</td>\n",
       "      <td>12076</td>\n",
       "      <td>13981</td>\n",
       "      <td>36.678220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "      <td>31865</td>\n",
       "      <td>2375</td>\n",
       "      <td>18515</td>\n",
       "      <td>462</td>\n",
       "      <td>294</td>\n",
       "      <td>527</td>\n",
       "      <td>0</td>\n",
       "      <td>897</td>\n",
       "      <td>11906</td>\n",
       "      <td>1044</td>\n",
       "      <td>2795</td>\n",
       "      <td>4009</td>\n",
       "      <td>5969</td>\n",
       "      <td>6653</td>\n",
       "      <td>11761</td>\n",
       "      <td>17467</td>\n",
       "      <td>21405</td>\n",
       "      <td>58.104503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>5650</td>\n",
       "      <td>6267</td>\n",
       "      <td>4154</td>\n",
       "      <td>0</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>1082</td>\n",
       "      <td>22527</td>\n",
       "      <td>3168</td>\n",
       "      <td>8599</td>\n",
       "      <td>10645</td>\n",
       "      <td>13354</td>\n",
       "      <td>14063</td>\n",
       "      <td>20371</td>\n",
       "      <td>26794</td>\n",
       "      <td>29216</td>\n",
       "      <td>18.770779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "      <td>24147</td>\n",
       "      <td>5698</td>\n",
       "      <td>4847</td>\n",
       "      <td>97</td>\n",
       "      <td>141</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>531</td>\n",
       "      <td>19058</td>\n",
       "      <td>2525</td>\n",
       "      <td>6593</td>\n",
       "      <td>7546</td>\n",
       "      <td>9222</td>\n",
       "      <td>10028</td>\n",
       "      <td>14100</td>\n",
       "      <td>17461</td>\n",
       "      <td>20151</td>\n",
       "      <td>20.072887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>77061</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>26253</td>\n",
       "      <td>5257</td>\n",
       "      <td>2165</td>\n",
       "      <td>6134</td>\n",
       "      <td>63</td>\n",
       "      <td>1431</td>\n",
       "      <td>23</td>\n",
       "      <td>5847</td>\n",
       "      <td>16671</td>\n",
       "      <td>2694</td>\n",
       "      <td>7409</td>\n",
       "      <td>9808</td>\n",
       "      <td>12169</td>\n",
       "      <td>13626</td>\n",
       "      <td>18158</td>\n",
       "      <td>20423</td>\n",
       "      <td>23237</td>\n",
       "      <td>8.246677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>78735</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17814</td>\n",
       "      <td>1334</td>\n",
       "      <td>11829</td>\n",
       "      <td>518</td>\n",
       "      <td>0</td>\n",
       "      <td>1589</td>\n",
       "      <td>0</td>\n",
       "      <td>225</td>\n",
       "      <td>3572</td>\n",
       "      <td>380</td>\n",
       "      <td>1588</td>\n",
       "      <td>2006</td>\n",
       "      <td>2422</td>\n",
       "      <td>2638</td>\n",
       "      <td>3941</td>\n",
       "      <td>5620</td>\n",
       "      <td>7056</td>\n",
       "      <td>66.402829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>76155</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5813</td>\n",
       "      <td>486</td>\n",
       "      <td>1374</td>\n",
       "      <td>1994</td>\n",
       "      <td>54</td>\n",
       "      <td>952</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>1205</td>\n",
       "      <td>191</td>\n",
       "      <td>510</td>\n",
       "      <td>760</td>\n",
       "      <td>1369</td>\n",
       "      <td>1519</td>\n",
       "      <td>2661</td>\n",
       "      <td>3842</td>\n",
       "      <td>4518</td>\n",
       "      <td>23.636676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>77048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>18296</td>\n",
       "      <td>4444</td>\n",
       "      <td>416</td>\n",
       "      <td>12224</td>\n",
       "      <td>10</td>\n",
       "      <td>309</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "      <td>5399</td>\n",
       "      <td>2438</td>\n",
       "      <td>6515</td>\n",
       "      <td>7355</td>\n",
       "      <td>8853</td>\n",
       "      <td>9230</td>\n",
       "      <td>11157</td>\n",
       "      <td>13361</td>\n",
       "      <td>15442</td>\n",
       "      <td>2.273721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>78254</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>58690</td>\n",
       "      <td>3852</td>\n",
       "      <td>20533</td>\n",
       "      <td>3593</td>\n",
       "      <td>453</td>\n",
       "      <td>1800</td>\n",
       "      <td>201</td>\n",
       "      <td>3977</td>\n",
       "      <td>31686</td>\n",
       "      <td>1703</td>\n",
       "      <td>5256</td>\n",
       "      <td>6884</td>\n",
       "      <td>8771</td>\n",
       "      <td>10583</td>\n",
       "      <td>21294</td>\n",
       "      <td>30932</td>\n",
       "      <td>39559</td>\n",
       "      <td>34.985517</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>461 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ZIP  Total Releases  Total Population  Population_Below_Poverty_Level  \\\n",
       "0    77511    4.881777e+06             47393                            5931   \n",
       "1    77979    3.529298e+06             17599                            2335   \n",
       "2    77536    3.511945e+06             31865                            2375   \n",
       "3    77530    1.386491e+06             33387                            5650   \n",
       "4    78380    1.007567e+06             24147                            5698   \n",
       "..     ...             ...               ...                             ...   \n",
       "456  77061    0.000000e+00             26253                            5257   \n",
       "457  78735    0.000000e+00             17814                            1334   \n",
       "458  76155    0.000000e+00              5813                             486   \n",
       "459  77048    0.000000e+00             18296                            4444   \n",
       "460  78254    0.000000e+00             58690                            3852   \n",
       "\n",
       "     Population_White  Population_Black_African_American  \\\n",
       "0               26461                               1100   \n",
       "1                6455                                524   \n",
       "2               18515                                462   \n",
       "3                6267                               4154   \n",
       "4                4847                                 97   \n",
       "..                ...                                ...   \n",
       "456              2165                               6134   \n",
       "457             11829                                518   \n",
       "458              1374                               1994   \n",
       "459               416                              12224   \n",
       "460             20533                               3593   \n",
       "\n",
       "     Population_American_Indian  Population_Asian  \\\n",
       "0                            76               494   \n",
       "1                            12              1104   \n",
       "2                           294               527   \n",
       "3                             0                62   \n",
       "4                           141                15   \n",
       "..                          ...               ...   \n",
       "456                          63              1431   \n",
       "457                           0              1589   \n",
       "458                          54               952   \n",
       "459                          10               309   \n",
       "460                         453              1800   \n",
       "\n",
       "     Population_Native_Hawaiian_PI  Population_Other_Race  \\\n",
       "0                               13                   1325   \n",
       "1                                7                    343   \n",
       "2                                0                    897   \n",
       "3                                0                   1082   \n",
       "4                                0                    531   \n",
       "..                             ...                    ...   \n",
       "456                             23                   5847   \n",
       "457                              0                    225   \n",
       "458                              0                    211   \n",
       "459                              0                   1349   \n",
       "460                            201                   3977   \n",
       "\n",
       "     Population_Hispanic_Latino  Pop_50_PL  Pop_125_PL  Pop_150_PL  \\\n",
       "0                         18908       1891        7741        9818   \n",
       "1                          9540        671        3503        4676   \n",
       "2                         11906       1044        2795        4009   \n",
       "3                         22527       3168        8599       10645   \n",
       "4                         19058       2525        6593        7546   \n",
       "..                          ...        ...         ...         ...   \n",
       "456                       16671       2694        7409        9808   \n",
       "457                        3572        380        1588        2006   \n",
       "458                        1205        191         510         760   \n",
       "459                        5399       2438        6515        7355   \n",
       "460                       31686       1703        5256        6884   \n",
       "\n",
       "     Pop_185_PL  Pop_200_PL  Pop_300_PL  Pop_400_PL  Pop_500_PL  Percent_White  \n",
       "0         14205       15268       23251       30513       36470      55.833140  \n",
       "1          6138        6615        9806       12076       13981      36.678220  \n",
       "2          5969        6653       11761       17467       21405      58.104503  \n",
       "3         13354       14063       20371       26794       29216      18.770779  \n",
       "4          9222       10028       14100       17461       20151      20.072887  \n",
       "..          ...         ...         ...         ...         ...            ...  \n",
       "456       12169       13626       18158       20423       23237       8.246677  \n",
       "457        2422        2638        3941        5620        7056      66.402829  \n",
       "458        1369        1519        2661        3842        4518      23.636676  \n",
       "459        8853        9230       11157       13361       15442       2.273721  \n",
       "460        8771       10583       21294       30932       39559      34.985517  \n",
       "\n",
       "[461 rows x 20 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking to see if it worked\n",
    "df_merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_merge['Percent_Below_Poverty_Level'] = (df_merge['Population_Below_Poverty_Level'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_Black_African_American'] = (df_merge['Population_Black_African_American'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_American_Indian'] = (df_merge['Population_American_Indian'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_Asian'] = (df_merge['Population_Asian'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_Native_Hawaiian_PI'] = (df_merge['Population_Native_Hawaiian_PI'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_Other_Race'] = (df_merge['Population_Other_Race'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_Hispanic_Latino'] = (df_merge['Population_Hispanic_Latino'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_50_PL'] = (df_merge['Pop_50_PL'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_125_PL'] = (df_merge['Pop_125_PL'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_185_PL'] = (df_merge['Pop_185_PL'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_200_PL'] = (df_merge['Pop_200_PL'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_300_PL'] = (df_merge['Pop_300_PL'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_400_PL'] = (df_merge['Pop_400_PL'] / df_merge['Total Population'])*100\n",
    "df_merge['Percent_500_PL'] = (df_merge['Pop_500_PL'] / df_merge['Total Population'])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ZIP</th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Population_Below_Poverty_Level</th>\n",
       "      <th>Population_White</th>\n",
       "      <th>Population_Black_African_American</th>\n",
       "      <th>Population_American_Indian</th>\n",
       "      <th>Population_Asian</th>\n",
       "      <th>Population_Native_Hawaiian_PI</th>\n",
       "      <th>Population_Other_Race</th>\n",
       "      <th>...</th>\n",
       "      <th>Percent_Native_Hawaiian_PI</th>\n",
       "      <th>Percent_Other_Race</th>\n",
       "      <th>Percent_Hispanic_Latino</th>\n",
       "      <th>Percent_50_PL</th>\n",
       "      <th>Percent_125_PL</th>\n",
       "      <th>Percent_185_PL</th>\n",
       "      <th>Percent_200_PL</th>\n",
       "      <th>Percent_300_PL</th>\n",
       "      <th>Percent_400_PL</th>\n",
       "      <th>Percent_500_PL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "      <td>47393</td>\n",
       "      <td>5931</td>\n",
       "      <td>26461</td>\n",
       "      <td>1100</td>\n",
       "      <td>76</td>\n",
       "      <td>494</td>\n",
       "      <td>13</td>\n",
       "      <td>1325</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027430</td>\n",
       "      <td>2.795772</td>\n",
       "      <td>39.896187</td>\n",
       "      <td>3.990041</td>\n",
       "      <td>16.333636</td>\n",
       "      <td>29.972781</td>\n",
       "      <td>32.215728</td>\n",
       "      <td>49.059988</td>\n",
       "      <td>64.382926</td>\n",
       "      <td>76.952293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "      <td>17599</td>\n",
       "      <td>2335</td>\n",
       "      <td>6455</td>\n",
       "      <td>524</td>\n",
       "      <td>12</td>\n",
       "      <td>1104</td>\n",
       "      <td>7</td>\n",
       "      <td>343</td>\n",
       "      <td>...</td>\n",
       "      <td>0.039775</td>\n",
       "      <td>1.948974</td>\n",
       "      <td>54.207625</td>\n",
       "      <td>3.812717</td>\n",
       "      <td>19.904540</td>\n",
       "      <td>34.876982</td>\n",
       "      <td>37.587363</td>\n",
       "      <td>55.719075</td>\n",
       "      <td>68.617535</td>\n",
       "      <td>79.442014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "      <td>31865</td>\n",
       "      <td>2375</td>\n",
       "      <td>18515</td>\n",
       "      <td>462</td>\n",
       "      <td>294</td>\n",
       "      <td>527</td>\n",
       "      <td>0</td>\n",
       "      <td>897</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.815001</td>\n",
       "      <td>37.363879</td>\n",
       "      <td>3.276322</td>\n",
       "      <td>8.771379</td>\n",
       "      <td>18.732151</td>\n",
       "      <td>20.878707</td>\n",
       "      <td>36.908834</td>\n",
       "      <td>54.815628</td>\n",
       "      <td>67.174015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>5650</td>\n",
       "      <td>6267</td>\n",
       "      <td>4154</td>\n",
       "      <td>0</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>1082</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.240782</td>\n",
       "      <td>67.472369</td>\n",
       "      <td>9.488723</td>\n",
       "      <td>25.755534</td>\n",
       "      <td>39.997604</td>\n",
       "      <td>42.121185</td>\n",
       "      <td>61.014766</td>\n",
       "      <td>80.252793</td>\n",
       "      <td>87.507114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "      <td>24147</td>\n",
       "      <td>5698</td>\n",
       "      <td>4847</td>\n",
       "      <td>97</td>\n",
       "      <td>141</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>531</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.199031</td>\n",
       "      <td>78.924918</td>\n",
       "      <td>10.456786</td>\n",
       "      <td>27.303599</td>\n",
       "      <td>38.191080</td>\n",
       "      <td>41.528968</td>\n",
       "      <td>58.392347</td>\n",
       "      <td>72.311260</td>\n",
       "      <td>83.451360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>77061</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>26253</td>\n",
       "      <td>5257</td>\n",
       "      <td>2165</td>\n",
       "      <td>6134</td>\n",
       "      <td>63</td>\n",
       "      <td>1431</td>\n",
       "      <td>23</td>\n",
       "      <td>5847</td>\n",
       "      <td>...</td>\n",
       "      <td>0.087609</td>\n",
       "      <td>22.271740</td>\n",
       "      <td>63.501314</td>\n",
       "      <td>10.261684</td>\n",
       "      <td>28.221537</td>\n",
       "      <td>46.352798</td>\n",
       "      <td>51.902640</td>\n",
       "      <td>69.165429</td>\n",
       "      <td>77.793014</td>\n",
       "      <td>88.511789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>78735</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17814</td>\n",
       "      <td>1334</td>\n",
       "      <td>11829</td>\n",
       "      <td>518</td>\n",
       "      <td>0</td>\n",
       "      <td>1589</td>\n",
       "      <td>0</td>\n",
       "      <td>225</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.263052</td>\n",
       "      <td>20.051645</td>\n",
       "      <td>2.133154</td>\n",
       "      <td>8.914337</td>\n",
       "      <td>13.596048</td>\n",
       "      <td>14.808578</td>\n",
       "      <td>22.123049</td>\n",
       "      <td>31.548221</td>\n",
       "      <td>39.609296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>76155</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5813</td>\n",
       "      <td>486</td>\n",
       "      <td>1374</td>\n",
       "      <td>1994</td>\n",
       "      <td>54</td>\n",
       "      <td>952</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.629795</td>\n",
       "      <td>20.729400</td>\n",
       "      <td>3.285739</td>\n",
       "      <td>8.773439</td>\n",
       "      <td>23.550662</td>\n",
       "      <td>26.131085</td>\n",
       "      <td>45.776707</td>\n",
       "      <td>66.093239</td>\n",
       "      <td>77.722346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>77048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>18296</td>\n",
       "      <td>4444</td>\n",
       "      <td>416</td>\n",
       "      <td>12224</td>\n",
       "      <td>10</td>\n",
       "      <td>309</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.373196</td>\n",
       "      <td>29.509182</td>\n",
       "      <td>13.325317</td>\n",
       "      <td>35.608876</td>\n",
       "      <td>48.387626</td>\n",
       "      <td>50.448185</td>\n",
       "      <td>60.980542</td>\n",
       "      <td>73.026891</td>\n",
       "      <td>84.400962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>78254</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>58690</td>\n",
       "      <td>3852</td>\n",
       "      <td>20533</td>\n",
       "      <td>3593</td>\n",
       "      <td>453</td>\n",
       "      <td>1800</td>\n",
       "      <td>201</td>\n",
       "      <td>3977</td>\n",
       "      <td>...</td>\n",
       "      <td>0.342477</td>\n",
       "      <td>6.776282</td>\n",
       "      <td>53.988754</td>\n",
       "      <td>2.901687</td>\n",
       "      <td>8.955529</td>\n",
       "      <td>14.944624</td>\n",
       "      <td>18.032033</td>\n",
       "      <td>36.282161</td>\n",
       "      <td>52.704038</td>\n",
       "      <td>67.403306</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>461 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ZIP  Total Releases  Total Population  Population_Below_Poverty_Level  \\\n",
       "0    77511    4.881777e+06             47393                            5931   \n",
       "1    77979    3.529298e+06             17599                            2335   \n",
       "2    77536    3.511945e+06             31865                            2375   \n",
       "3    77530    1.386491e+06             33387                            5650   \n",
       "4    78380    1.007567e+06             24147                            5698   \n",
       "..     ...             ...               ...                             ...   \n",
       "456  77061    0.000000e+00             26253                            5257   \n",
       "457  78735    0.000000e+00             17814                            1334   \n",
       "458  76155    0.000000e+00              5813                             486   \n",
       "459  77048    0.000000e+00             18296                            4444   \n",
       "460  78254    0.000000e+00             58690                            3852   \n",
       "\n",
       "     Population_White  Population_Black_African_American  \\\n",
       "0               26461                               1100   \n",
       "1                6455                                524   \n",
       "2               18515                                462   \n",
       "3                6267                               4154   \n",
       "4                4847                                 97   \n",
       "..                ...                                ...   \n",
       "456              2165                               6134   \n",
       "457             11829                                518   \n",
       "458              1374                               1994   \n",
       "459               416                              12224   \n",
       "460             20533                               3593   \n",
       "\n",
       "     Population_American_Indian  Population_Asian  \\\n",
       "0                            76               494   \n",
       "1                            12              1104   \n",
       "2                           294               527   \n",
       "3                             0                62   \n",
       "4                           141                15   \n",
       "..                          ...               ...   \n",
       "456                          63              1431   \n",
       "457                           0              1589   \n",
       "458                          54               952   \n",
       "459                          10               309   \n",
       "460                         453              1800   \n",
       "\n",
       "     Population_Native_Hawaiian_PI  Population_Other_Race  ...  \\\n",
       "0                               13                   1325  ...   \n",
       "1                                7                    343  ...   \n",
       "2                                0                    897  ...   \n",
       "3                                0                   1082  ...   \n",
       "4                                0                    531  ...   \n",
       "..                             ...                    ...  ...   \n",
       "456                             23                   5847  ...   \n",
       "457                              0                    225  ...   \n",
       "458                              0                    211  ...   \n",
       "459                              0                   1349  ...   \n",
       "460                            201                   3977  ...   \n",
       "\n",
       "     Percent_Native_Hawaiian_PI  Percent_Other_Race  Percent_Hispanic_Latino  \\\n",
       "0                      0.027430            2.795772                39.896187   \n",
       "1                      0.039775            1.948974                54.207625   \n",
       "2                      0.000000            2.815001                37.363879   \n",
       "3                      0.000000            3.240782                67.472369   \n",
       "4                      0.000000            2.199031                78.924918   \n",
       "..                          ...                 ...                      ...   \n",
       "456                    0.087609           22.271740                63.501314   \n",
       "457                    0.000000            1.263052                20.051645   \n",
       "458                    0.000000            3.629795                20.729400   \n",
       "459                    0.000000            7.373196                29.509182   \n",
       "460                    0.342477            6.776282                53.988754   \n",
       "\n",
       "     Percent_50_PL  Percent_125_PL  Percent_185_PL  Percent_200_PL  \\\n",
       "0         3.990041       16.333636       29.972781       32.215728   \n",
       "1         3.812717       19.904540       34.876982       37.587363   \n",
       "2         3.276322        8.771379       18.732151       20.878707   \n",
       "3         9.488723       25.755534       39.997604       42.121185   \n",
       "4        10.456786       27.303599       38.191080       41.528968   \n",
       "..             ...             ...             ...             ...   \n",
       "456      10.261684       28.221537       46.352798       51.902640   \n",
       "457       2.133154        8.914337       13.596048       14.808578   \n",
       "458       3.285739        8.773439       23.550662       26.131085   \n",
       "459      13.325317       35.608876       48.387626       50.448185   \n",
       "460       2.901687        8.955529       14.944624       18.032033   \n",
       "\n",
       "     Percent_300_PL  Percent_400_PL  Percent_500_PL  \n",
       "0         49.059988       64.382926       76.952293  \n",
       "1         55.719075       68.617535       79.442014  \n",
       "2         36.908834       54.815628       67.174015  \n",
       "3         61.014766       80.252793       87.507114  \n",
       "4         58.392347       72.311260       83.451360  \n",
       "..              ...             ...             ...  \n",
       "456       69.165429       77.793014       88.511789  \n",
       "457       22.123049       31.548221       39.609296  \n",
       "458       45.776707       66.093239       77.722346  \n",
       "459       60.980542       73.026891       84.400962  \n",
       "460       36.282161       52.704038       67.403306  \n",
       "\n",
       "[461 rows x 34 columns]"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = df_merge.filter(['ZIP',\n",
    "                            'Total Releases',\n",
    "                            'Total Population',\n",
    "                            'Percent_Below_Poverty_Level',\n",
    "                            'Percent_White',\n",
    "                            'Percent_Black_African_American',\n",
    "                            'Percent_American_Indian',\n",
    "                            'Percent_Asian',\n",
    "                            'Percent_Native_Hawaiian_PI',\n",
    "                            'Percent_Other_Race',\n",
    "                            'Percent_Hispanic_Latino',\n",
    "                            'Percent_50_PL',\n",
    "                            'Percent_125_PL',\n",
    "                            'Percent_185_PL',\n",
    "                            'Percent_200_PL',\n",
    "                            'Percent_300_PL',\n",
    "                            'Percent_400_PL',\n",
    "                            'Percent_500_PL'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ZIP</th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Percent_Below_Poverty_Level</th>\n",
       "      <th>Percent_White</th>\n",
       "      <th>Percent_Black_African_American</th>\n",
       "      <th>Percent_American_Indian</th>\n",
       "      <th>Percent_Asian</th>\n",
       "      <th>Percent_Native_Hawaiian_PI</th>\n",
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       "      <th>Percent_Hispanic_Latino</th>\n",
       "      <th>Percent_50_PL</th>\n",
       "      <th>Percent_125_PL</th>\n",
       "      <th>Percent_185_PL</th>\n",
       "      <th>Percent_200_PL</th>\n",
       "      <th>Percent_300_PL</th>\n",
       "      <th>Percent_400_PL</th>\n",
       "      <th>Percent_500_PL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "      <td>47393</td>\n",
       "      <td>12.514506</td>\n",
       "      <td>55.833140</td>\n",
       "      <td>2.321018</td>\n",
       "      <td>0.160361</td>\n",
       "      <td>1.042348</td>\n",
       "      <td>0.027430</td>\n",
       "      <td>2.795772</td>\n",
       "      <td>39.896187</td>\n",
       "      <td>3.990041</td>\n",
       "      <td>16.333636</td>\n",
       "      <td>29.972781</td>\n",
       "      <td>32.215728</td>\n",
       "      <td>49.059988</td>\n",
       "      <td>64.382926</td>\n",
       "      <td>76.952293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "      <td>17599</td>\n",
       "      <td>13.267799</td>\n",
       "      <td>36.678220</td>\n",
       "      <td>2.977442</td>\n",
       "      <td>0.068186</td>\n",
       "      <td>6.273084</td>\n",
       "      <td>0.039775</td>\n",
       "      <td>1.948974</td>\n",
       "      <td>54.207625</td>\n",
       "      <td>3.812717</td>\n",
       "      <td>19.904540</td>\n",
       "      <td>34.876982</td>\n",
       "      <td>37.587363</td>\n",
       "      <td>55.719075</td>\n",
       "      <td>68.617535</td>\n",
       "      <td>79.442014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "      <td>31865</td>\n",
       "      <td>7.453319</td>\n",
       "      <td>58.104503</td>\n",
       "      <td>1.449867</td>\n",
       "      <td>0.922642</td>\n",
       "      <td>1.653852</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.815001</td>\n",
       "      <td>37.363879</td>\n",
       "      <td>3.276322</td>\n",
       "      <td>8.771379</td>\n",
       "      <td>18.732151</td>\n",
       "      <td>20.878707</td>\n",
       "      <td>36.908834</td>\n",
       "      <td>54.815628</td>\n",
       "      <td>67.174015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>16.922754</td>\n",
       "      <td>18.770779</td>\n",
       "      <td>12.441968</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.185701</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.240782</td>\n",
       "      <td>67.472369</td>\n",
       "      <td>9.488723</td>\n",
       "      <td>25.755534</td>\n",
       "      <td>39.997604</td>\n",
       "      <td>42.121185</td>\n",
       "      <td>61.014766</td>\n",
       "      <td>80.252793</td>\n",
       "      <td>87.507114</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "      <td>24147</td>\n",
       "      <td>23.597134</td>\n",
       "      <td>20.072887</td>\n",
       "      <td>0.401706</td>\n",
       "      <td>0.583923</td>\n",
       "      <td>0.062120</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.199031</td>\n",
       "      <td>78.924918</td>\n",
       "      <td>10.456786</td>\n",
       "      <td>27.303599</td>\n",
       "      <td>38.191080</td>\n",
       "      <td>41.528968</td>\n",
       "      <td>58.392347</td>\n",
       "      <td>72.311260</td>\n",
       "      <td>83.451360</td>\n",
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       "      <th>...</th>\n",
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       "      <th>456</th>\n",
       "      <td>77061</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>26253</td>\n",
       "      <td>20.024378</td>\n",
       "      <td>8.246677</td>\n",
       "      <td>23.364949</td>\n",
       "      <td>0.239973</td>\n",
       "      <td>5.450806</td>\n",
       "      <td>0.087609</td>\n",
       "      <td>22.271740</td>\n",
       "      <td>63.501314</td>\n",
       "      <td>10.261684</td>\n",
       "      <td>28.221537</td>\n",
       "      <td>46.352798</td>\n",
       "      <td>51.902640</td>\n",
       "      <td>69.165429</td>\n",
       "      <td>77.793014</td>\n",
       "      <td>88.511789</td>\n",
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       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>78735</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17814</td>\n",
       "      <td>7.488492</td>\n",
       "      <td>66.402829</td>\n",
       "      <td>2.907825</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.919951</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.263052</td>\n",
       "      <td>20.051645</td>\n",
       "      <td>2.133154</td>\n",
       "      <td>8.914337</td>\n",
       "      <td>13.596048</td>\n",
       "      <td>14.808578</td>\n",
       "      <td>22.123049</td>\n",
       "      <td>31.548221</td>\n",
       "      <td>39.609296</td>\n",
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       "      <th>458</th>\n",
       "      <td>76155</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5813</td>\n",
       "      <td>8.360571</td>\n",
       "      <td>23.636676</td>\n",
       "      <td>34.302426</td>\n",
       "      <td>0.928952</td>\n",
       "      <td>16.377086</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.629795</td>\n",
       "      <td>20.729400</td>\n",
       "      <td>3.285739</td>\n",
       "      <td>8.773439</td>\n",
       "      <td>23.550662</td>\n",
       "      <td>26.131085</td>\n",
       "      <td>45.776707</td>\n",
       "      <td>66.093239</td>\n",
       "      <td>77.722346</td>\n",
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       "      <th>459</th>\n",
       "      <td>77048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>18296</td>\n",
       "      <td>24.289462</td>\n",
       "      <td>2.273721</td>\n",
       "      <td>66.812418</td>\n",
       "      <td>0.054657</td>\n",
       "      <td>1.688894</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.373196</td>\n",
       "      <td>29.509182</td>\n",
       "      <td>13.325317</td>\n",
       "      <td>35.608876</td>\n",
       "      <td>48.387626</td>\n",
       "      <td>50.448185</td>\n",
       "      <td>60.980542</td>\n",
       "      <td>73.026891</td>\n",
       "      <td>84.400962</td>\n",
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       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>78254</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>58690</td>\n",
       "      <td>6.563299</td>\n",
       "      <td>34.985517</td>\n",
       "      <td>6.121997</td>\n",
       "      <td>0.771852</td>\n",
       "      <td>3.066962</td>\n",
       "      <td>0.342477</td>\n",
       "      <td>6.776282</td>\n",
       "      <td>53.988754</td>\n",
       "      <td>2.901687</td>\n",
       "      <td>8.955529</td>\n",
       "      <td>14.944624</td>\n",
       "      <td>18.032033</td>\n",
       "      <td>36.282161</td>\n",
       "      <td>52.704038</td>\n",
       "      <td>67.403306</td>\n",
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       "  </tbody>\n",
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       "<p>461 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ZIP  Total Releases  Total Population  Percent_Below_Poverty_Level  \\\n",
       "0    77511    4.881777e+06             47393                    12.514506   \n",
       "1    77979    3.529298e+06             17599                    13.267799   \n",
       "2    77536    3.511945e+06             31865                     7.453319   \n",
       "3    77530    1.386491e+06             33387                    16.922754   \n",
       "4    78380    1.007567e+06             24147                    23.597134   \n",
       "..     ...             ...               ...                          ...   \n",
       "456  77061    0.000000e+00             26253                    20.024378   \n",
       "457  78735    0.000000e+00             17814                     7.488492   \n",
       "458  76155    0.000000e+00              5813                     8.360571   \n",
       "459  77048    0.000000e+00             18296                    24.289462   \n",
       "460  78254    0.000000e+00             58690                     6.563299   \n",
       "\n",
       "     Percent_White  Percent_Black_African_American  Percent_American_Indian  \\\n",
       "0        55.833140                        2.321018                 0.160361   \n",
       "1        36.678220                        2.977442                 0.068186   \n",
       "2        58.104503                        1.449867                 0.922642   \n",
       "3        18.770779                       12.441968                 0.000000   \n",
       "4        20.072887                        0.401706                 0.583923   \n",
       "..             ...                             ...                      ...   \n",
       "456       8.246677                       23.364949                 0.239973   \n",
       "457      66.402829                        2.907825                 0.000000   \n",
       "458      23.636676                       34.302426                 0.928952   \n",
       "459       2.273721                       66.812418                 0.054657   \n",
       "460      34.985517                        6.121997                 0.771852   \n",
       "\n",
       "     Percent_Asian  Percent_Native_Hawaiian_PI  Percent_Other_Race  \\\n",
       "0         1.042348                    0.027430            2.795772   \n",
       "1         6.273084                    0.039775            1.948974   \n",
       "2         1.653852                    0.000000            2.815001   \n",
       "3         0.185701                    0.000000            3.240782   \n",
       "4         0.062120                    0.000000            2.199031   \n",
       "..             ...                         ...                 ...   \n",
       "456       5.450806                    0.087609           22.271740   \n",
       "457       8.919951                    0.000000            1.263052   \n",
       "458      16.377086                    0.000000            3.629795   \n",
       "459       1.688894                    0.000000            7.373196   \n",
       "460       3.066962                    0.342477            6.776282   \n",
       "\n",
       "     Percent_Hispanic_Latino  Percent_50_PL  Percent_125_PL  Percent_185_PL  \\\n",
       "0                  39.896187       3.990041       16.333636       29.972781   \n",
       "1                  54.207625       3.812717       19.904540       34.876982   \n",
       "2                  37.363879       3.276322        8.771379       18.732151   \n",
       "3                  67.472369       9.488723       25.755534       39.997604   \n",
       "4                  78.924918      10.456786       27.303599       38.191080   \n",
       "..                       ...            ...             ...             ...   \n",
       "456                63.501314      10.261684       28.221537       46.352798   \n",
       "457                20.051645       2.133154        8.914337       13.596048   \n",
       "458                20.729400       3.285739        8.773439       23.550662   \n",
       "459                29.509182      13.325317       35.608876       48.387626   \n",
       "460                53.988754       2.901687        8.955529       14.944624   \n",
       "\n",
       "     Percent_200_PL  Percent_300_PL  Percent_400_PL  Percent_500_PL  \n",
       "0         32.215728       49.059988       64.382926       76.952293  \n",
       "1         37.587363       55.719075       68.617535       79.442014  \n",
       "2         20.878707       36.908834       54.815628       67.174015  \n",
       "3         42.121185       61.014766       80.252793       87.507114  \n",
       "4         41.528968       58.392347       72.311260       83.451360  \n",
       "..              ...             ...             ...             ...  \n",
       "456       51.902640       69.165429       77.793014       88.511789  \n",
       "457       14.808578       22.123049       31.548221       39.609296  \n",
       "458       26.131085       45.776707       66.093239       77.722346  \n",
       "459       50.448185       60.980542       73.026891       84.400962  \n",
       "460       18.032033       36.282161       52.704038       67.403306  \n",
       "\n",
       "[461 rows x 18 columns]"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Percent_Below_Poverty_Level</th>\n",
       "      <th>Percent_White</th>\n",
       "      <th>Percent_Black_African_American</th>\n",
       "      <th>Percent_American_Indian</th>\n",
       "      <th>Percent_Asian</th>\n",
       "      <th>Percent_Native_Hawaiian_PI</th>\n",
       "      <th>Percent_Other_Race</th>\n",
       "      <th>Percent_Hispanic_Latino</th>\n",
       "      <th>Percent_50_PL</th>\n",
       "      <th>Percent_125_PL</th>\n",
       "      <th>Percent_185_PL</th>\n",
       "      <th>Percent_200_PL</th>\n",
       "      <th>Percent_300_PL</th>\n",
       "      <th>Percent_400_PL</th>\n",
       "      <th>Percent_500_PL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Releases</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.025864</td>\n",
       "      <td>-0.024994</td>\n",
       "      <td>-0.001392</td>\n",
       "      <td>-0.056890</td>\n",
       "      <td>-0.040988</td>\n",
       "      <td>-0.025379</td>\n",
       "      <td>-0.027808</td>\n",
       "      <td>-0.042708</td>\n",
       "      <td>0.046295</td>\n",
       "      <td>-0.024721</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.016881</td>\n",
       "      <td>-0.019712</td>\n",
       "      <td>-0.018780</td>\n",
       "      <td>-0.007744</td>\n",
       "      <td>-0.000499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Population</th>\n",
       "      <td>0.025864</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.104725</td>\n",
       "      <td>-0.294785</td>\n",
       "      <td>0.040560</td>\n",
       "      <td>-0.077568</td>\n",
       "      <td>0.368848</td>\n",
       "      <td>-0.027650</td>\n",
       "      <td>0.073646</td>\n",
       "      <td>0.200854</td>\n",
       "      <td>-0.079158</td>\n",
       "      <td>-0.110541</td>\n",
       "      <td>-0.113813</td>\n",
       "      <td>-0.122988</td>\n",
       "      <td>-0.148899</td>\n",
       "      <td>-0.152937</td>\n",
       "      <td>-0.189842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_Below_Poverty_Level</th>\n",
       "      <td>-0.024994</td>\n",
       "      <td>-0.104725</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.486014</td>\n",
       "      <td>0.312641</td>\n",
       "      <td>0.047828</td>\n",
       "      <td>-0.272133</td>\n",
       "      <td>-0.090946</td>\n",
       "      <td>0.214016</td>\n",
       "      <td>0.388025</td>\n",
       "      <td>0.793581</td>\n",
       "      <td>0.971649</td>\n",
       "      <td>0.902940</td>\n",
       "      <td>0.892301</td>\n",
       "      <td>0.797301</td>\n",
       "      <td>0.731416</td>\n",
       "      <td>0.665420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_White</th>\n",
       "      <td>-0.001392</td>\n",
       "      <td>-0.294785</td>\n",
       "      <td>-0.486014</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.422595</td>\n",
       "      <td>0.015499</td>\n",
       "      <td>-0.069308</td>\n",
       "      <td>0.050497</td>\n",
       "      <td>-0.426773</td>\n",
       "      <td>-0.783540</td>\n",
       "      <td>-0.377775</td>\n",
       "      <td>-0.511087</td>\n",
       "      <td>-0.558561</td>\n",
       "      <td>-0.549624</td>\n",
       "      <td>-0.557538</td>\n",
       "      <td>-0.527144</td>\n",
       "      <td>-0.501067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_Black_African_American</th>\n",
       "      <td>-0.056890</td>\n",
       "      <td>0.040560</td>\n",
       "      <td>0.312641</td>\n",
       "      <td>-0.422595</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.086938</td>\n",
       "      <td>0.028821</td>\n",
       "      <td>0.000841</td>\n",
       "      <td>-0.066788</td>\n",
       "      <td>-0.186229</td>\n",
       "      <td>0.291168</td>\n",
       "      <td>0.323126</td>\n",
       "      <td>0.295408</td>\n",
       "      <td>0.277144</td>\n",
       "      <td>0.276512</td>\n",
       "      <td>0.247255</td>\n",
       "      <td>0.252661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_American_Indian</th>\n",
       "      <td>-0.040988</td>\n",
       "      <td>-0.077568</td>\n",
       "      <td>0.047828</td>\n",
       "      <td>0.015499</td>\n",
       "      <td>-0.086938</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.032529</td>\n",
       "      <td>0.027721</td>\n",
       "      <td>0.001692</td>\n",
       "      <td>0.034678</td>\n",
       "      <td>0.079625</td>\n",
       "      <td>0.056118</td>\n",
       "      <td>0.083694</td>\n",
       "      <td>0.078173</td>\n",
       "      <td>0.073825</td>\n",
       "      <td>0.083681</td>\n",
       "      <td>0.062231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_Asian</th>\n",
       "      <td>-0.025379</td>\n",
       "      <td>0.368848</td>\n",
       "      <td>-0.272133</td>\n",
       "      <td>-0.069308</td>\n",
       "      <td>0.028821</td>\n",
       "      <td>-0.032529</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.050129</td>\n",
       "      <td>-0.048426</td>\n",
       "      <td>-0.182610</td>\n",
       "      <td>-0.205232</td>\n",
       "      <td>-0.300693</td>\n",
       "      <td>-0.341517</td>\n",
       "      <td>-0.350922</td>\n",
       "      <td>-0.385949</td>\n",
       "      <td>-0.411731</td>\n",
       "      <td>-0.427448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_Native_Hawaiian_PI</th>\n",
       "      <td>-0.027808</td>\n",
       "      <td>-0.027650</td>\n",
       "      <td>-0.090946</td>\n",
       "      <td>0.050497</td>\n",
       "      <td>0.000841</td>\n",
       "      <td>0.027721</td>\n",
       "      <td>0.050129</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.003464</td>\n",
       "      <td>-0.090040</td>\n",
       "      <td>-0.069986</td>\n",
       "      <td>-0.064825</td>\n",
       "      <td>-0.066500</td>\n",
       "      <td>-0.061924</td>\n",
       "      <td>-0.042070</td>\n",
       "      <td>-0.025034</td>\n",
       "      <td>0.025590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_Other_Race</th>\n",
       "      <td>-0.042708</td>\n",
       "      <td>0.073646</td>\n",
       "      <td>0.214016</td>\n",
       "      <td>-0.426773</td>\n",
       "      <td>-0.066788</td>\n",
       "      <td>0.001692</td>\n",
       "      <td>-0.048426</td>\n",
       "      <td>0.003464</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.509279</td>\n",
       "      <td>0.143456</td>\n",
       "      <td>0.248932</td>\n",
       "      <td>0.295792</td>\n",
       "      <td>0.299067</td>\n",
       "      <td>0.303609</td>\n",
       "      <td>0.295816</td>\n",
       "      <td>0.255535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_Hispanic_Latino</th>\n",
       "      <td>0.046295</td>\n",
       "      <td>0.200854</td>\n",
       "      <td>0.388025</td>\n",
       "      <td>-0.783540</td>\n",
       "      <td>-0.186229</td>\n",
       "      <td>0.034678</td>\n",
       "      <td>-0.182610</td>\n",
       "      <td>-0.090040</td>\n",
       "      <td>0.509279</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.267404</td>\n",
       "      <td>0.414208</td>\n",
       "      <td>0.491471</td>\n",
       "      <td>0.495774</td>\n",
       "      <td>0.510483</td>\n",
       "      <td>0.500176</td>\n",
       "      <td>0.471701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_50_PL</th>\n",
       "      <td>-0.024721</td>\n",
       "      <td>-0.079158</td>\n",
       "      <td>0.793581</td>\n",
       "      <td>-0.377775</td>\n",
       "      <td>0.291168</td>\n",
       "      <td>0.079625</td>\n",
       "      <td>-0.205232</td>\n",
       "      <td>-0.069986</td>\n",
       "      <td>0.143456</td>\n",
       "      <td>0.267404</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.780005</td>\n",
       "      <td>0.738212</td>\n",
       "      <td>0.730710</td>\n",
       "      <td>0.652366</td>\n",
       "      <td>0.607124</td>\n",
       "      <td>0.540110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_125_PL</th>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.110541</td>\n",
       "      <td>0.971649</td>\n",
       "      <td>-0.511087</td>\n",
       "      <td>0.323126</td>\n",
       "      <td>0.056118</td>\n",
       "      <td>-0.300693</td>\n",
       "      <td>-0.064825</td>\n",
       "      <td>0.248932</td>\n",
       "      <td>0.414208</td>\n",
       "      <td>0.780005</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.950518</td>\n",
       "      <td>0.942347</td>\n",
       "      <td>0.857977</td>\n",
       "      <td>0.800643</td>\n",
       "      <td>0.732056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_185_PL</th>\n",
       "      <td>-0.016881</td>\n",
       "      <td>-0.113813</td>\n",
       "      <td>0.902940</td>\n",
       "      <td>-0.558561</td>\n",
       "      <td>0.295408</td>\n",
       "      <td>0.083694</td>\n",
       "      <td>-0.341517</td>\n",
       "      <td>-0.066500</td>\n",
       "      <td>0.295792</td>\n",
       "      <td>0.491471</td>\n",
       "      <td>0.738212</td>\n",
       "      <td>0.950518</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.992046</td>\n",
       "      <td>0.928850</td>\n",
       "      <td>0.885729</td>\n",
       "      <td>0.810572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_200_PL</th>\n",
       "      <td>-0.019712</td>\n",
       "      <td>-0.122988</td>\n",
       "      <td>0.892301</td>\n",
       "      <td>-0.549624</td>\n",
       "      <td>0.277144</td>\n",
       "      <td>0.078173</td>\n",
       "      <td>-0.350922</td>\n",
       "      <td>-0.061924</td>\n",
       "      <td>0.299067</td>\n",
       "      <td>0.495774</td>\n",
       "      <td>0.730710</td>\n",
       "      <td>0.942347</td>\n",
       "      <td>0.992046</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.937498</td>\n",
       "      <td>0.900226</td>\n",
       "      <td>0.825431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_300_PL</th>\n",
       "      <td>-0.018780</td>\n",
       "      <td>-0.148899</td>\n",
       "      <td>0.797301</td>\n",
       "      <td>-0.557538</td>\n",
       "      <td>0.276512</td>\n",
       "      <td>0.073825</td>\n",
       "      <td>-0.385949</td>\n",
       "      <td>-0.042070</td>\n",
       "      <td>0.303609</td>\n",
       "      <td>0.510483</td>\n",
       "      <td>0.652366</td>\n",
       "      <td>0.857977</td>\n",
       "      <td>0.928850</td>\n",
       "      <td>0.937498</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.970668</td>\n",
       "      <td>0.920511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_400_PL</th>\n",
       "      <td>-0.007744</td>\n",
       "      <td>-0.152937</td>\n",
       "      <td>0.731416</td>\n",
       "      <td>-0.527144</td>\n",
       "      <td>0.247255</td>\n",
       "      <td>0.083681</td>\n",
       "      <td>-0.411731</td>\n",
       "      <td>-0.025034</td>\n",
       "      <td>0.295816</td>\n",
       "      <td>0.500176</td>\n",
       "      <td>0.607124</td>\n",
       "      <td>0.800643</td>\n",
       "      <td>0.885729</td>\n",
       "      <td>0.900226</td>\n",
       "      <td>0.970668</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.945230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent_500_PL</th>\n",
       "      <td>-0.000499</td>\n",
       "      <td>-0.189842</td>\n",
       "      <td>0.665420</td>\n",
       "      <td>-0.501067</td>\n",
       "      <td>0.252661</td>\n",
       "      <td>0.062231</td>\n",
       "      <td>-0.427448</td>\n",
       "      <td>0.025590</td>\n",
       "      <td>0.255535</td>\n",
       "      <td>0.471701</td>\n",
       "      <td>0.540110</td>\n",
       "      <td>0.732056</td>\n",
       "      <td>0.810572</td>\n",
       "      <td>0.825431</td>\n",
       "      <td>0.920511</td>\n",
       "      <td>0.945230</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Total Releases  Total Population  \\\n",
       "Total Releases                        1.000000          0.025864   \n",
       "Total Population                      0.025864          1.000000   \n",
       "Percent_Below_Poverty_Level          -0.024994         -0.104725   \n",
       "Percent_White                        -0.001392         -0.294785   \n",
       "Percent_Black_African_American       -0.056890          0.040560   \n",
       "Percent_American_Indian              -0.040988         -0.077568   \n",
       "Percent_Asian                        -0.025379          0.368848   \n",
       "Percent_Native_Hawaiian_PI           -0.027808         -0.027650   \n",
       "Percent_Other_Race                   -0.042708          0.073646   \n",
       "Percent_Hispanic_Latino               0.046295          0.200854   \n",
       "Percent_50_PL                        -0.024721         -0.079158   \n",
       "Percent_125_PL                       -0.027237         -0.110541   \n",
       "Percent_185_PL                       -0.016881         -0.113813   \n",
       "Percent_200_PL                       -0.019712         -0.122988   \n",
       "Percent_300_PL                       -0.018780         -0.148899   \n",
       "Percent_400_PL                       -0.007744         -0.152937   \n",
       "Percent_500_PL                       -0.000499         -0.189842   \n",
       "\n",
       "                                Percent_Below_Poverty_Level  Percent_White  \\\n",
       "Total Releases                                    -0.024994      -0.001392   \n",
       "Total Population                                  -0.104725      -0.294785   \n",
       "Percent_Below_Poverty_Level                        1.000000      -0.486014   \n",
       "Percent_White                                     -0.486014       1.000000   \n",
       "Percent_Black_African_American                     0.312641      -0.422595   \n",
       "Percent_American_Indian                            0.047828       0.015499   \n",
       "Percent_Asian                                     -0.272133      -0.069308   \n",
       "Percent_Native_Hawaiian_PI                        -0.090946       0.050497   \n",
       "Percent_Other_Race                                 0.214016      -0.426773   \n",
       "Percent_Hispanic_Latino                            0.388025      -0.783540   \n",
       "Percent_50_PL                                      0.793581      -0.377775   \n",
       "Percent_125_PL                                     0.971649      -0.511087   \n",
       "Percent_185_PL                                     0.902940      -0.558561   \n",
       "Percent_200_PL                                     0.892301      -0.549624   \n",
       "Percent_300_PL                                     0.797301      -0.557538   \n",
       "Percent_400_PL                                     0.731416      -0.527144   \n",
       "Percent_500_PL                                     0.665420      -0.501067   \n",
       "\n",
       "                                Percent_Black_African_American  \\\n",
       "Total Releases                                       -0.056890   \n",
       "Total Population                                      0.040560   \n",
       "Percent_Below_Poverty_Level                           0.312641   \n",
       "Percent_White                                        -0.422595   \n",
       "Percent_Black_African_American                        1.000000   \n",
       "Percent_American_Indian                              -0.086938   \n",
       "Percent_Asian                                         0.028821   \n",
       "Percent_Native_Hawaiian_PI                            0.000841   \n",
       "Percent_Other_Race                                   -0.066788   \n",
       "Percent_Hispanic_Latino                              -0.186229   \n",
       "Percent_50_PL                                         0.291168   \n",
       "Percent_125_PL                                        0.323126   \n",
       "Percent_185_PL                                        0.295408   \n",
       "Percent_200_PL                                        0.277144   \n",
       "Percent_300_PL                                        0.276512   \n",
       "Percent_400_PL                                        0.247255   \n",
       "Percent_500_PL                                        0.252661   \n",
       "\n",
       "                                Percent_American_Indian  Percent_Asian  \\\n",
       "Total Releases                                -0.040988      -0.025379   \n",
       "Total Population                              -0.077568       0.368848   \n",
       "Percent_Below_Poverty_Level                    0.047828      -0.272133   \n",
       "Percent_White                                  0.015499      -0.069308   \n",
       "Percent_Black_African_American                -0.086938       0.028821   \n",
       "Percent_American_Indian                        1.000000      -0.032529   \n",
       "Percent_Asian                                 -0.032529       1.000000   \n",
       "Percent_Native_Hawaiian_PI                     0.027721       0.050129   \n",
       "Percent_Other_Race                             0.001692      -0.048426   \n",
       "Percent_Hispanic_Latino                        0.034678      -0.182610   \n",
       "Percent_50_PL                                  0.079625      -0.205232   \n",
       "Percent_125_PL                                 0.056118      -0.300693   \n",
       "Percent_185_PL                                 0.083694      -0.341517   \n",
       "Percent_200_PL                                 0.078173      -0.350922   \n",
       "Percent_300_PL                                 0.073825      -0.385949   \n",
       "Percent_400_PL                                 0.083681      -0.411731   \n",
       "Percent_500_PL                                 0.062231      -0.427448   \n",
       "\n",
       "                                Percent_Native_Hawaiian_PI  \\\n",
       "Total Releases                                   -0.027808   \n",
       "Total Population                                 -0.027650   \n",
       "Percent_Below_Poverty_Level                      -0.090946   \n",
       "Percent_White                                     0.050497   \n",
       "Percent_Black_African_American                    0.000841   \n",
       "Percent_American_Indian                           0.027721   \n",
       "Percent_Asian                                     0.050129   \n",
       "Percent_Native_Hawaiian_PI                        1.000000   \n",
       "Percent_Other_Race                                0.003464   \n",
       "Percent_Hispanic_Latino                          -0.090040   \n",
       "Percent_50_PL                                    -0.069986   \n",
       "Percent_125_PL                                   -0.064825   \n",
       "Percent_185_PL                                   -0.066500   \n",
       "Percent_200_PL                                   -0.061924   \n",
       "Percent_300_PL                                   -0.042070   \n",
       "Percent_400_PL                                   -0.025034   \n",
       "Percent_500_PL                                    0.025590   \n",
       "\n",
       "                                Percent_Other_Race  Percent_Hispanic_Latino  \\\n",
       "Total Releases                           -0.042708                 0.046295   \n",
       "Total Population                          0.073646                 0.200854   \n",
       "Percent_Below_Poverty_Level               0.214016                 0.388025   \n",
       "Percent_White                            -0.426773                -0.783540   \n",
       "Percent_Black_African_American           -0.066788                -0.186229   \n",
       "Percent_American_Indian                   0.001692                 0.034678   \n",
       "Percent_Asian                            -0.048426                -0.182610   \n",
       "Percent_Native_Hawaiian_PI                0.003464                -0.090040   \n",
       "Percent_Other_Race                        1.000000                 0.509279   \n",
       "Percent_Hispanic_Latino                   0.509279                 1.000000   \n",
       "Percent_50_PL                             0.143456                 0.267404   \n",
       "Percent_125_PL                            0.248932                 0.414208   \n",
       "Percent_185_PL                            0.295792                 0.491471   \n",
       "Percent_200_PL                            0.299067                 0.495774   \n",
       "Percent_300_PL                            0.303609                 0.510483   \n",
       "Percent_400_PL                            0.295816                 0.500176   \n",
       "Percent_500_PL                            0.255535                 0.471701   \n",
       "\n",
       "                                Percent_50_PL  Percent_125_PL  Percent_185_PL  \\\n",
       "Total Releases                      -0.024721       -0.027237       -0.016881   \n",
       "Total Population                    -0.079158       -0.110541       -0.113813   \n",
       "Percent_Below_Poverty_Level          0.793581        0.971649        0.902940   \n",
       "Percent_White                       -0.377775       -0.511087       -0.558561   \n",
       "Percent_Black_African_American       0.291168        0.323126        0.295408   \n",
       "Percent_American_Indian              0.079625        0.056118        0.083694   \n",
       "Percent_Asian                       -0.205232       -0.300693       -0.341517   \n",
       "Percent_Native_Hawaiian_PI          -0.069986       -0.064825       -0.066500   \n",
       "Percent_Other_Race                   0.143456        0.248932        0.295792   \n",
       "Percent_Hispanic_Latino              0.267404        0.414208        0.491471   \n",
       "Percent_50_PL                        1.000000        0.780005        0.738212   \n",
       "Percent_125_PL                       0.780005        1.000000        0.950518   \n",
       "Percent_185_PL                       0.738212        0.950518        1.000000   \n",
       "Percent_200_PL                       0.730710        0.942347        0.992046   \n",
       "Percent_300_PL                       0.652366        0.857977        0.928850   \n",
       "Percent_400_PL                       0.607124        0.800643        0.885729   \n",
       "Percent_500_PL                       0.540110        0.732056        0.810572   \n",
       "\n",
       "                                Percent_200_PL  Percent_300_PL  \\\n",
       "Total Releases                       -0.019712       -0.018780   \n",
       "Total Population                     -0.122988       -0.148899   \n",
       "Percent_Below_Poverty_Level           0.892301        0.797301   \n",
       "Percent_White                        -0.549624       -0.557538   \n",
       "Percent_Black_African_American        0.277144        0.276512   \n",
       "Percent_American_Indian               0.078173        0.073825   \n",
       "Percent_Asian                        -0.350922       -0.385949   \n",
       "Percent_Native_Hawaiian_PI           -0.061924       -0.042070   \n",
       "Percent_Other_Race                    0.299067        0.303609   \n",
       "Percent_Hispanic_Latino               0.495774        0.510483   \n",
       "Percent_50_PL                         0.730710        0.652366   \n",
       "Percent_125_PL                        0.942347        0.857977   \n",
       "Percent_185_PL                        0.992046        0.928850   \n",
       "Percent_200_PL                        1.000000        0.937498   \n",
       "Percent_300_PL                        0.937498        1.000000   \n",
       "Percent_400_PL                        0.900226        0.970668   \n",
       "Percent_500_PL                        0.825431        0.920511   \n",
       "\n",
       "                                Percent_400_PL  Percent_500_PL  \n",
       "Total Releases                       -0.007744       -0.000499  \n",
       "Total Population                     -0.152937       -0.189842  \n",
       "Percent_Below_Poverty_Level           0.731416        0.665420  \n",
       "Percent_White                        -0.527144       -0.501067  \n",
       "Percent_Black_African_American        0.247255        0.252661  \n",
       "Percent_American_Indian               0.083681        0.062231  \n",
       "Percent_Asian                        -0.411731       -0.427448  \n",
       "Percent_Native_Hawaiian_PI           -0.025034        0.025590  \n",
       "Percent_Other_Race                    0.295816        0.255535  \n",
       "Percent_Hispanic_Latino               0.500176        0.471701  \n",
       "Percent_50_PL                         0.607124        0.540110  \n",
       "Percent_125_PL                        0.800643        0.732056  \n",
       "Percent_185_PL                        0.885729        0.810572  \n",
       "Percent_200_PL                        0.900226        0.825431  \n",
       "Percent_300_PL                        0.970668        0.920511  \n",
       "Percent_400_PL                        1.000000        0.945230  \n",
       "Percent_500_PL                        0.945230        1.000000  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.610000e+02\n",
       "mean     5.673756e+04\n",
       "std      3.413902e+05\n",
       "min      0.000000e+00\n",
       "25%      1.620489e+00\n",
       "50%      2.880000e+02\n",
       "75%      1.106107e+04\n",
       "max      4.881777e+06\n",
       "Name: Total Releases, dtype: float64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Bin total releases\n",
    "df_final['Total Releases'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "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>ZIP</th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Percent_Below_Poverty_Level</th>\n",
       "      <th>Percent_White</th>\n",
       "      <th>Percent_Black_African_American</th>\n",
       "      <th>Percent_American_Indian</th>\n",
       "      <th>Percent_Asian</th>\n",
       "      <th>Percent_Native_Hawaiian_PI</th>\n",
       "      <th>Percent_Other_Race</th>\n",
       "      <th>Percent_Hispanic_Latino</th>\n",
       "      <th>Percent_50_PL</th>\n",
       "      <th>Percent_125_PL</th>\n",
       "      <th>Percent_185_PL</th>\n",
       "      <th>Percent_200_PL</th>\n",
       "      <th>Percent_300_PL</th>\n",
       "      <th>Percent_400_PL</th>\n",
       "      <th>Percent_500_PL</th>\n",
       "      <th>Total Releases Binned</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "      <td>47393</td>\n",
       "      <td>12.514506</td>\n",
       "      <td>55.833140</td>\n",
       "      <td>2.321018</td>\n",
       "      <td>0.160361</td>\n",
       "      <td>1.042348</td>\n",
       "      <td>0.027430</td>\n",
       "      <td>2.795772</td>\n",
       "      <td>39.896187</td>\n",
       "      <td>3.990041</td>\n",
       "      <td>16.333636</td>\n",
       "      <td>29.972781</td>\n",
       "      <td>32.215728</td>\n",
       "      <td>49.059988</td>\n",
       "      <td>64.382926</td>\n",
       "      <td>76.952293</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "      <td>17599</td>\n",
       "      <td>13.267799</td>\n",
       "      <td>36.678220</td>\n",
       "      <td>2.977442</td>\n",
       "      <td>0.068186</td>\n",
       "      <td>6.273084</td>\n",
       "      <td>0.039775</td>\n",
       "      <td>1.948974</td>\n",
       "      <td>54.207625</td>\n",
       "      <td>3.812717</td>\n",
       "      <td>19.904540</td>\n",
       "      <td>34.876982</td>\n",
       "      <td>37.587363</td>\n",
       "      <td>55.719075</td>\n",
       "      <td>68.617535</td>\n",
       "      <td>79.442014</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "      <td>31865</td>\n",
       "      <td>7.453319</td>\n",
       "      <td>58.104503</td>\n",
       "      <td>1.449867</td>\n",
       "      <td>0.922642</td>\n",
       "      <td>1.653852</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.815001</td>\n",
       "      <td>37.363879</td>\n",
       "      <td>3.276322</td>\n",
       "      <td>8.771379</td>\n",
       "      <td>18.732151</td>\n",
       "      <td>20.878707</td>\n",
       "      <td>36.908834</td>\n",
       "      <td>54.815628</td>\n",
       "      <td>67.174015</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>16.922754</td>\n",
       "      <td>18.770779</td>\n",
       "      <td>12.441968</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.185701</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.240782</td>\n",
       "      <td>67.472369</td>\n",
       "      <td>9.488723</td>\n",
       "      <td>25.755534</td>\n",
       "      <td>39.997604</td>\n",
       "      <td>42.121185</td>\n",
       "      <td>61.014766</td>\n",
       "      <td>80.252793</td>\n",
       "      <td>87.507114</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "      <td>24147</td>\n",
       "      <td>23.597134</td>\n",
       "      <td>20.072887</td>\n",
       "      <td>0.401706</td>\n",
       "      <td>0.583923</td>\n",
       "      <td>0.062120</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.199031</td>\n",
       "      <td>78.924918</td>\n",
       "      <td>10.456786</td>\n",
       "      <td>27.303599</td>\n",
       "      <td>38.191080</td>\n",
       "      <td>41.528968</td>\n",
       "      <td>58.392347</td>\n",
       "      <td>72.311260</td>\n",
       "      <td>83.451360</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>77061</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>26253</td>\n",
       "      <td>20.024378</td>\n",
       "      <td>8.246677</td>\n",
       "      <td>23.364949</td>\n",
       "      <td>0.239973</td>\n",
       "      <td>5.450806</td>\n",
       "      <td>0.087609</td>\n",
       "      <td>22.271740</td>\n",
       "      <td>63.501314</td>\n",
       "      <td>10.261684</td>\n",
       "      <td>28.221537</td>\n",
       "      <td>46.352798</td>\n",
       "      <td>51.902640</td>\n",
       "      <td>69.165429</td>\n",
       "      <td>77.793014</td>\n",
       "      <td>88.511789</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>78735</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17814</td>\n",
       "      <td>7.488492</td>\n",
       "      <td>66.402829</td>\n",
       "      <td>2.907825</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.919951</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.263052</td>\n",
       "      <td>20.051645</td>\n",
       "      <td>2.133154</td>\n",
       "      <td>8.914337</td>\n",
       "      <td>13.596048</td>\n",
       "      <td>14.808578</td>\n",
       "      <td>22.123049</td>\n",
       "      <td>31.548221</td>\n",
       "      <td>39.609296</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>76155</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5813</td>\n",
       "      <td>8.360571</td>\n",
       "      <td>23.636676</td>\n",
       "      <td>34.302426</td>\n",
       "      <td>0.928952</td>\n",
       "      <td>16.377086</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.629795</td>\n",
       "      <td>20.729400</td>\n",
       "      <td>3.285739</td>\n",
       "      <td>8.773439</td>\n",
       "      <td>23.550662</td>\n",
       "      <td>26.131085</td>\n",
       "      <td>45.776707</td>\n",
       "      <td>66.093239</td>\n",
       "      <td>77.722346</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>77048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>18296</td>\n",
       "      <td>24.289462</td>\n",
       "      <td>2.273721</td>\n",
       "      <td>66.812418</td>\n",
       "      <td>0.054657</td>\n",
       "      <td>1.688894</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.373196</td>\n",
       "      <td>29.509182</td>\n",
       "      <td>13.325317</td>\n",
       "      <td>35.608876</td>\n",
       "      <td>48.387626</td>\n",
       "      <td>50.448185</td>\n",
       "      <td>60.980542</td>\n",
       "      <td>73.026891</td>\n",
       "      <td>84.400962</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>78254</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>58690</td>\n",
       "      <td>6.563299</td>\n",
       "      <td>34.985517</td>\n",
       "      <td>6.121997</td>\n",
       "      <td>0.771852</td>\n",
       "      <td>3.066962</td>\n",
       "      <td>0.342477</td>\n",
       "      <td>6.776282</td>\n",
       "      <td>53.988754</td>\n",
       "      <td>2.901687</td>\n",
       "      <td>8.955529</td>\n",
       "      <td>14.944624</td>\n",
       "      <td>18.032033</td>\n",
       "      <td>36.282161</td>\n",
       "      <td>52.704038</td>\n",
       "      <td>67.403306</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>461 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ZIP  Total Releases  Total Population  Percent_Below_Poverty_Level  \\\n",
       "0    77511    4.881777e+06             47393                    12.514506   \n",
       "1    77979    3.529298e+06             17599                    13.267799   \n",
       "2    77536    3.511945e+06             31865                     7.453319   \n",
       "3    77530    1.386491e+06             33387                    16.922754   \n",
       "4    78380    1.007567e+06             24147                    23.597134   \n",
       "..     ...             ...               ...                          ...   \n",
       "456  77061    0.000000e+00             26253                    20.024378   \n",
       "457  78735    0.000000e+00             17814                     7.488492   \n",
       "458  76155    0.000000e+00              5813                     8.360571   \n",
       "459  77048    0.000000e+00             18296                    24.289462   \n",
       "460  78254    0.000000e+00             58690                     6.563299   \n",
       "\n",
       "     Percent_White  Percent_Black_African_American  Percent_American_Indian  \\\n",
       "0        55.833140                        2.321018                 0.160361   \n",
       "1        36.678220                        2.977442                 0.068186   \n",
       "2        58.104503                        1.449867                 0.922642   \n",
       "3        18.770779                       12.441968                 0.000000   \n",
       "4        20.072887                        0.401706                 0.583923   \n",
       "..             ...                             ...                      ...   \n",
       "456       8.246677                       23.364949                 0.239973   \n",
       "457      66.402829                        2.907825                 0.000000   \n",
       "458      23.636676                       34.302426                 0.928952   \n",
       "459       2.273721                       66.812418                 0.054657   \n",
       "460      34.985517                        6.121997                 0.771852   \n",
       "\n",
       "     Percent_Asian  Percent_Native_Hawaiian_PI  Percent_Other_Race  \\\n",
       "0         1.042348                    0.027430            2.795772   \n",
       "1         6.273084                    0.039775            1.948974   \n",
       "2         1.653852                    0.000000            2.815001   \n",
       "3         0.185701                    0.000000            3.240782   \n",
       "4         0.062120                    0.000000            2.199031   \n",
       "..             ...                         ...                 ...   \n",
       "456       5.450806                    0.087609           22.271740   \n",
       "457       8.919951                    0.000000            1.263052   \n",
       "458      16.377086                    0.000000            3.629795   \n",
       "459       1.688894                    0.000000            7.373196   \n",
       "460       3.066962                    0.342477            6.776282   \n",
       "\n",
       "     Percent_Hispanic_Latino  Percent_50_PL  Percent_125_PL  Percent_185_PL  \\\n",
       "0                  39.896187       3.990041       16.333636       29.972781   \n",
       "1                  54.207625       3.812717       19.904540       34.876982   \n",
       "2                  37.363879       3.276322        8.771379       18.732151   \n",
       "3                  67.472369       9.488723       25.755534       39.997604   \n",
       "4                  78.924918      10.456786       27.303599       38.191080   \n",
       "..                       ...            ...             ...             ...   \n",
       "456                63.501314      10.261684       28.221537       46.352798   \n",
       "457                20.051645       2.133154        8.914337       13.596048   \n",
       "458                20.729400       3.285739        8.773439       23.550662   \n",
       "459                29.509182      13.325317       35.608876       48.387626   \n",
       "460                53.988754       2.901687        8.955529       14.944624   \n",
       "\n",
       "     Percent_200_PL  Percent_300_PL  Percent_400_PL  Percent_500_PL  \\\n",
       "0         32.215728       49.059988       64.382926       76.952293   \n",
       "1         37.587363       55.719075       68.617535       79.442014   \n",
       "2         20.878707       36.908834       54.815628       67.174015   \n",
       "3         42.121185       61.014766       80.252793       87.507114   \n",
       "4         41.528968       58.392347       72.311260       83.451360   \n",
       "..              ...             ...             ...             ...   \n",
       "456       51.902640       69.165429       77.793014       88.511789   \n",
       "457       14.808578       22.123049       31.548221       39.609296   \n",
       "458       26.131085       45.776707       66.093239       77.722346   \n",
       "459       50.448185       60.980542       73.026891       84.400962   \n",
       "460       18.032033       36.282161       52.704038       67.403306   \n",
       "\n",
       "    Total Releases Binned  \n",
       "0                       4  \n",
       "1                       4  \n",
       "2                       4  \n",
       "3                       4  \n",
       "4                       4  \n",
       "..                    ...  \n",
       "456                   NaN  \n",
       "457                   NaN  \n",
       "458                   NaN  \n",
       "459                   NaN  \n",
       "460                   NaN  \n",
       "\n",
       "[461 rows x 19 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bins = [0, 5, 300, 12000, 5000000]\n",
    "labels = [1,2,3,4]\n",
    "df_final['Total Releases Binned'] = pd.cut(df_final['Total Releases'], bins=bins, labels=labels)\n",
    "df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final['Total Releases Binned'].fillna(1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "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>ZIP</th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Percent_Below_Poverty_Level</th>\n",
       "      <th>Percent_White</th>\n",
       "      <th>Percent_Black_African_American</th>\n",
       "      <th>Percent_American_Indian</th>\n",
       "      <th>Percent_Asian</th>\n",
       "      <th>Percent_Native_Hawaiian_PI</th>\n",
       "      <th>Percent_Other_Race</th>\n",
       "      <th>Percent_Hispanic_Latino</th>\n",
       "      <th>Percent_50_PL</th>\n",
       "      <th>Percent_125_PL</th>\n",
       "      <th>Percent_185_PL</th>\n",
       "      <th>Percent_200_PL</th>\n",
       "      <th>Percent_300_PL</th>\n",
       "      <th>Percent_400_PL</th>\n",
       "      <th>Percent_500_PL</th>\n",
       "      <th>Total Releases Binned</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77511</td>\n",
       "      <td>4.881777e+06</td>\n",
       "      <td>47393</td>\n",
       "      <td>12.514506</td>\n",
       "      <td>55.833140</td>\n",
       "      <td>2.321018</td>\n",
       "      <td>0.160361</td>\n",
       "      <td>1.042348</td>\n",
       "      <td>0.027430</td>\n",
       "      <td>2.795772</td>\n",
       "      <td>39.896187</td>\n",
       "      <td>3.990041</td>\n",
       "      <td>16.333636</td>\n",
       "      <td>29.972781</td>\n",
       "      <td>32.215728</td>\n",
       "      <td>49.059988</td>\n",
       "      <td>64.382926</td>\n",
       "      <td>76.952293</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77979</td>\n",
       "      <td>3.529298e+06</td>\n",
       "      <td>17599</td>\n",
       "      <td>13.267799</td>\n",
       "      <td>36.678220</td>\n",
       "      <td>2.977442</td>\n",
       "      <td>0.068186</td>\n",
       "      <td>6.273084</td>\n",
       "      <td>0.039775</td>\n",
       "      <td>1.948974</td>\n",
       "      <td>54.207625</td>\n",
       "      <td>3.812717</td>\n",
       "      <td>19.904540</td>\n",
       "      <td>34.876982</td>\n",
       "      <td>37.587363</td>\n",
       "      <td>55.719075</td>\n",
       "      <td>68.617535</td>\n",
       "      <td>79.442014</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77536</td>\n",
       "      <td>3.511945e+06</td>\n",
       "      <td>31865</td>\n",
       "      <td>7.453319</td>\n",
       "      <td>58.104503</td>\n",
       "      <td>1.449867</td>\n",
       "      <td>0.922642</td>\n",
       "      <td>1.653852</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.815001</td>\n",
       "      <td>37.363879</td>\n",
       "      <td>3.276322</td>\n",
       "      <td>8.771379</td>\n",
       "      <td>18.732151</td>\n",
       "      <td>20.878707</td>\n",
       "      <td>36.908834</td>\n",
       "      <td>54.815628</td>\n",
       "      <td>67.174015</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77530</td>\n",
       "      <td>1.386491e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>16.922754</td>\n",
       "      <td>18.770779</td>\n",
       "      <td>12.441968</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.185701</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.240782</td>\n",
       "      <td>67.472369</td>\n",
       "      <td>9.488723</td>\n",
       "      <td>25.755534</td>\n",
       "      <td>39.997604</td>\n",
       "      <td>42.121185</td>\n",
       "      <td>61.014766</td>\n",
       "      <td>80.252793</td>\n",
       "      <td>87.507114</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78380</td>\n",
       "      <td>1.007567e+06</td>\n",
       "      <td>24147</td>\n",
       "      <td>23.597134</td>\n",
       "      <td>20.072887</td>\n",
       "      <td>0.401706</td>\n",
       "      <td>0.583923</td>\n",
       "      <td>0.062120</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.199031</td>\n",
       "      <td>78.924918</td>\n",
       "      <td>10.456786</td>\n",
       "      <td>27.303599</td>\n",
       "      <td>38.191080</td>\n",
       "      <td>41.528968</td>\n",
       "      <td>58.392347</td>\n",
       "      <td>72.311260</td>\n",
       "      <td>83.451360</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>77061</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>26253</td>\n",
       "      <td>20.024378</td>\n",
       "      <td>8.246677</td>\n",
       "      <td>23.364949</td>\n",
       "      <td>0.239973</td>\n",
       "      <td>5.450806</td>\n",
       "      <td>0.087609</td>\n",
       "      <td>22.271740</td>\n",
       "      <td>63.501314</td>\n",
       "      <td>10.261684</td>\n",
       "      <td>28.221537</td>\n",
       "      <td>46.352798</td>\n",
       "      <td>51.902640</td>\n",
       "      <td>69.165429</td>\n",
       "      <td>77.793014</td>\n",
       "      <td>88.511789</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>78735</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17814</td>\n",
       "      <td>7.488492</td>\n",
       "      <td>66.402829</td>\n",
       "      <td>2.907825</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.919951</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.263052</td>\n",
       "      <td>20.051645</td>\n",
       "      <td>2.133154</td>\n",
       "      <td>8.914337</td>\n",
       "      <td>13.596048</td>\n",
       "      <td>14.808578</td>\n",
       "      <td>22.123049</td>\n",
       "      <td>31.548221</td>\n",
       "      <td>39.609296</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>76155</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5813</td>\n",
       "      <td>8.360571</td>\n",
       "      <td>23.636676</td>\n",
       "      <td>34.302426</td>\n",
       "      <td>0.928952</td>\n",
       "      <td>16.377086</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.629795</td>\n",
       "      <td>20.729400</td>\n",
       "      <td>3.285739</td>\n",
       "      <td>8.773439</td>\n",
       "      <td>23.550662</td>\n",
       "      <td>26.131085</td>\n",
       "      <td>45.776707</td>\n",
       "      <td>66.093239</td>\n",
       "      <td>77.722346</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>77048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>18296</td>\n",
       "      <td>24.289462</td>\n",
       "      <td>2.273721</td>\n",
       "      <td>66.812418</td>\n",
       "      <td>0.054657</td>\n",
       "      <td>1.688894</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.373196</td>\n",
       "      <td>29.509182</td>\n",
       "      <td>13.325317</td>\n",
       "      <td>35.608876</td>\n",
       "      <td>48.387626</td>\n",
       "      <td>50.448185</td>\n",
       "      <td>60.980542</td>\n",
       "      <td>73.026891</td>\n",
       "      <td>84.400962</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>78254</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>58690</td>\n",
       "      <td>6.563299</td>\n",
       "      <td>34.985517</td>\n",
       "      <td>6.121997</td>\n",
       "      <td>0.771852</td>\n",
       "      <td>3.066962</td>\n",
       "      <td>0.342477</td>\n",
       "      <td>6.776282</td>\n",
       "      <td>53.988754</td>\n",
       "      <td>2.901687</td>\n",
       "      <td>8.955529</td>\n",
       "      <td>14.944624</td>\n",
       "      <td>18.032033</td>\n",
       "      <td>36.282161</td>\n",
       "      <td>52.704038</td>\n",
       "      <td>67.403306</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>461 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ZIP  Total Releases  Total Population  Percent_Below_Poverty_Level  \\\n",
       "0    77511    4.881777e+06             47393                    12.514506   \n",
       "1    77979    3.529298e+06             17599                    13.267799   \n",
       "2    77536    3.511945e+06             31865                     7.453319   \n",
       "3    77530    1.386491e+06             33387                    16.922754   \n",
       "4    78380    1.007567e+06             24147                    23.597134   \n",
       "..     ...             ...               ...                          ...   \n",
       "456  77061    0.000000e+00             26253                    20.024378   \n",
       "457  78735    0.000000e+00             17814                     7.488492   \n",
       "458  76155    0.000000e+00              5813                     8.360571   \n",
       "459  77048    0.000000e+00             18296                    24.289462   \n",
       "460  78254    0.000000e+00             58690                     6.563299   \n",
       "\n",
       "     Percent_White  Percent_Black_African_American  Percent_American_Indian  \\\n",
       "0        55.833140                        2.321018                 0.160361   \n",
       "1        36.678220                        2.977442                 0.068186   \n",
       "2        58.104503                        1.449867                 0.922642   \n",
       "3        18.770779                       12.441968                 0.000000   \n",
       "4        20.072887                        0.401706                 0.583923   \n",
       "..             ...                             ...                      ...   \n",
       "456       8.246677                       23.364949                 0.239973   \n",
       "457      66.402829                        2.907825                 0.000000   \n",
       "458      23.636676                       34.302426                 0.928952   \n",
       "459       2.273721                       66.812418                 0.054657   \n",
       "460      34.985517                        6.121997                 0.771852   \n",
       "\n",
       "     Percent_Asian  Percent_Native_Hawaiian_PI  Percent_Other_Race  \\\n",
       "0         1.042348                    0.027430            2.795772   \n",
       "1         6.273084                    0.039775            1.948974   \n",
       "2         1.653852                    0.000000            2.815001   \n",
       "3         0.185701                    0.000000            3.240782   \n",
       "4         0.062120                    0.000000            2.199031   \n",
       "..             ...                         ...                 ...   \n",
       "456       5.450806                    0.087609           22.271740   \n",
       "457       8.919951                    0.000000            1.263052   \n",
       "458      16.377086                    0.000000            3.629795   \n",
       "459       1.688894                    0.000000            7.373196   \n",
       "460       3.066962                    0.342477            6.776282   \n",
       "\n",
       "     Percent_Hispanic_Latino  Percent_50_PL  Percent_125_PL  Percent_185_PL  \\\n",
       "0                  39.896187       3.990041       16.333636       29.972781   \n",
       "1                  54.207625       3.812717       19.904540       34.876982   \n",
       "2                  37.363879       3.276322        8.771379       18.732151   \n",
       "3                  67.472369       9.488723       25.755534       39.997604   \n",
       "4                  78.924918      10.456786       27.303599       38.191080   \n",
       "..                       ...            ...             ...             ...   \n",
       "456                63.501314      10.261684       28.221537       46.352798   \n",
       "457                20.051645       2.133154        8.914337       13.596048   \n",
       "458                20.729400       3.285739        8.773439       23.550662   \n",
       "459                29.509182      13.325317       35.608876       48.387626   \n",
       "460                53.988754       2.901687        8.955529       14.944624   \n",
       "\n",
       "     Percent_200_PL  Percent_300_PL  Percent_400_PL  Percent_500_PL  \\\n",
       "0         32.215728       49.059988       64.382926       76.952293   \n",
       "1         37.587363       55.719075       68.617535       79.442014   \n",
       "2         20.878707       36.908834       54.815628       67.174015   \n",
       "3         42.121185       61.014766       80.252793       87.507114   \n",
       "4         41.528968       58.392347       72.311260       83.451360   \n",
       "..              ...             ...             ...             ...   \n",
       "456       51.902640       69.165429       77.793014       88.511789   \n",
       "457       14.808578       22.123049       31.548221       39.609296   \n",
       "458       26.131085       45.776707       66.093239       77.722346   \n",
       "459       50.448185       60.980542       73.026891       84.400962   \n",
       "460       18.032033       36.282161       52.704038       67.403306   \n",
       "\n",
       "    Total Releases Binned  \n",
       "0                       4  \n",
       "1                       4  \n",
       "2                       4  \n",
       "3                       4  \n",
       "4                       4  \n",
       "..                    ...  \n",
       "456                     1  \n",
       "457                     1  \n",
       "458                     1  \n",
       "459                     1  \n",
       "460                     1  \n",
       "\n",
       "[461 rows x 19 columns]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc6941ee668>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_final['Total Releases Binned'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.to_csv(r'/capstone_cleaned_3.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merge Harris County ZIP with Cenus Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "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>ZIP</th>\n",
       "      <th>101. TOTAL RELEASES</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Below poverty level!!Population for whom poverty status is determined</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level</th>\n",
       "      <th>Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77536</td>\n",
       "      <td>1.593846e+07</td>\n",
       "      <td>31865</td>\n",
       "      <td>2375</td>\n",
       "      <td>18515</td>\n",
       "      <td>462</td>\n",
       "      <td>294</td>\n",
       "      <td>527</td>\n",
       "      <td>0</td>\n",
       "      <td>897</td>\n",
       "      <td>11906</td>\n",
       "      <td>1044</td>\n",
       "      <td>2795</td>\n",
       "      <td>4009</td>\n",
       "      <td>5969</td>\n",
       "      <td>6653</td>\n",
       "      <td>11761</td>\n",
       "      <td>17467</td>\n",
       "      <td>21405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77571</td>\n",
       "      <td>7.254232e+06</td>\n",
       "      <td>37298</td>\n",
       "      <td>3554</td>\n",
       "      <td>21132</td>\n",
       "      <td>2218</td>\n",
       "      <td>158</td>\n",
       "      <td>439</td>\n",
       "      <td>0</td>\n",
       "      <td>1671</td>\n",
       "      <td>12618</td>\n",
       "      <td>1266</td>\n",
       "      <td>4789</td>\n",
       "      <td>6535</td>\n",
       "      <td>7869</td>\n",
       "      <td>9054</td>\n",
       "      <td>15726</td>\n",
       "      <td>21496</td>\n",
       "      <td>25037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77530</td>\n",
       "      <td>4.999060e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>5650</td>\n",
       "      <td>6267</td>\n",
       "      <td>4154</td>\n",
       "      <td>0</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>1082</td>\n",
       "      <td>22527</td>\n",
       "      <td>3168</td>\n",
       "      <td>8599</td>\n",
       "      <td>10645</td>\n",
       "      <td>13354</td>\n",
       "      <td>14063</td>\n",
       "      <td>20371</td>\n",
       "      <td>26794</td>\n",
       "      <td>29216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77520</td>\n",
       "      <td>4.044139e+06</td>\n",
       "      <td>35114</td>\n",
       "      <td>6362</td>\n",
       "      <td>10343</td>\n",
       "      <td>4546</td>\n",
       "      <td>23</td>\n",
       "      <td>258</td>\n",
       "      <td>29</td>\n",
       "      <td>3529</td>\n",
       "      <td>19305</td>\n",
       "      <td>2250</td>\n",
       "      <td>8410</td>\n",
       "      <td>10133</td>\n",
       "      <td>12910</td>\n",
       "      <td>13823</td>\n",
       "      <td>21790</td>\n",
       "      <td>26415</td>\n",
       "      <td>29143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77507</td>\n",
       "      <td>3.543322e+06</td>\n",
       "      <td>312</td>\n",
       "      <td>60</td>\n",
       "      <td>213</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>54</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>123</td>\n",
       "      <td>143</td>\n",
       "      <td>188</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ZIP  101. TOTAL RELEASES  \\\n",
       "0  77536         1.593846e+07   \n",
       "1  77571         7.254232e+06   \n",
       "2  77530         4.999060e+06   \n",
       "3  77520         4.044139e+06   \n",
       "4  77507         3.543322e+06   \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined  \\\n",
       "0                                              31865                   \n",
       "1                                              37298                   \n",
       "2                                              33387                   \n",
       "3                                              35114                   \n",
       "4                                                312                   \n",
       "\n",
       "   Estimate!!Below poverty level!!Population for whom poverty status is determined  \\\n",
       "0                                               2375                                 \n",
       "1                                               3554                                 \n",
       "2                                               5650                                 \n",
       "3                                               6362                                 \n",
       "4                                                 60                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino  \\\n",
       "0                                              18515                                                                                            \n",
       "1                                              21132                                                                                            \n",
       "2                                               6267                                                                                            \n",
       "3                                              10343                                                                                            \n",
       "4                                                213                                                                                            \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone  \\\n",
       "0                                                462                                                                                        \n",
       "1                                               2218                                                                                        \n",
       "2                                               4154                                                                                        \n",
       "3                                               4546                                                                                        \n",
       "4                                                 45                                                                                        \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone  \\\n",
       "0                                                294                                                                                                \n",
       "1                                                158                                                                                                \n",
       "2                                                  0                                                                                                \n",
       "3                                                 23                                                                                                \n",
       "4                                                  0                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone  \\\n",
       "0                                                527                                                                    \n",
       "1                                                439                                                                    \n",
       "2                                                 62                                                                    \n",
       "3                                                258                                                                    \n",
       "4                                                  0                                                                    \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone  \\\n",
       "0                                                  0                                                                                                         \n",
       "1                                                  0                                                                                                         \n",
       "2                                                  0                                                                                                         \n",
       "3                                                 29                                                                                                         \n",
       "4                                                  0                                                                                                         \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone  \\\n",
       "0                                                897                                                                              \n",
       "1                                               1671                                                                              \n",
       "2                                               1082                                                                              \n",
       "3                                               3529                                                                              \n",
       "4                                                 14                                                                              \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)  \\\n",
       "0                                              11906                                                                                                \n",
       "1                                              12618                                                                                                \n",
       "2                                              22527                                                                                                \n",
       "3                                              19305                                                                                                \n",
       "4                                                 54                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level  \\\n",
       "0                                               1044                                                                                                                \n",
       "1                                               1266                                                                                                                \n",
       "2                                               3168                                                                                                                \n",
       "3                                               2250                                                                                                                \n",
       "4                                                 60                                                                                                                \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level  \\\n",
       "0                                               2795                                                                                                                 \n",
       "1                                               4789                                                                                                                 \n",
       "2                                               8599                                                                                                                 \n",
       "3                                               8410                                                                                                                 \n",
       "4                                                 60                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level  \\\n",
       "0                                               4009                                                                                                                 \n",
       "1                                               6535                                                                                                                 \n",
       "2                                              10645                                                                                                                 \n",
       "3                                              10133                                                                                                                 \n",
       "4                                                100                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level  \\\n",
       "0                                               5969                                                                                                                 \n",
       "1                                               7869                                                                                                                 \n",
       "2                                              13354                                                                                                                 \n",
       "3                                              12910                                                                                                                 \n",
       "4                                                100                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level  \\\n",
       "0                                               6653                                                                                                                 \n",
       "1                                               9054                                                                                                                 \n",
       "2                                              14063                                                                                                                 \n",
       "3                                              13823                                                                                                                 \n",
       "4                                                123                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level  \\\n",
       "0                                              11761                                                                                                                 \n",
       "1                                              15726                                                                                                                 \n",
       "2                                              20371                                                                                                                 \n",
       "3                                              21790                                                                                                                 \n",
       "4                                                143                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level  \\\n",
       "0                                              17467                                                                                                                 \n",
       "1                                              21496                                                                                                                 \n",
       "2                                              26794                                                                                                                 \n",
       "3                                              26415                                                                                                                 \n",
       "4                                                188                                                                                                                 \n",
       "\n",
       "   Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level  \n",
       "0                                              21405                                                                                                                \n",
       "1                                              25037                                                                                                                \n",
       "2                                              29216                                                                                                                \n",
       "3                                              29143                                                                                                                \n",
       "4                                                237                                                                                                                "
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merge_harris = pd.merge(df_harris_zip, df_ses, on=[\"ZIP\"])\n",
    "df_merge_harris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Rename columns\n",
    "df_merge_harris = df_merge_harris.rename(columns={'101. TOTAL RELEASES':'Total Releases',\n",
    "                                    'Estimate!!Below poverty level!!Population for whom poverty status is determined':'Population_Below_Poverty_Level',\n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined':'Total Population',\n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!White alone, not Hispanic or Latino':'Population_White', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Black or African American alone':'Population_Black_African_American', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!American Indian and Alaska Native alone':'Population_American_Indian', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Asian alone':'Population_Asian', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Native Hawaiian and Other Pacific Islander alone':'Population_Native_Hawaiian_PI', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Some other race alone':'Population_Other_Race', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!RACE AND HISPANIC OR LATINO ORIGIN!!Hispanic or Latino origin (of any race)':'Population_Hispanic_Latino', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!50 percent of poverty level':'Pop_50_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!125 percent of poverty level':'Pop_125_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!150 percent of poverty level':'Pop_150_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!185 percent of poverty level':'Pop_185_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!200 percent of poverty level':'Pop_200_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!300 percent of poverty level':'Pop_300_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!400 percent of poverty level':'Pop_400_PL', \n",
    "                                    'Estimate!!Total!!Population for whom poverty status is determined!!ALL INDIVIDUALS WITH INCOME BELOW THE FOLLOWING POVERTY RATIOS!!500 percent of poverty level':'Pop_500_PL'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create Percentage Columns\n",
    "df_merge_harris['Percent_White'] = (df_merge_harris['Population_White'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_Below_Poverty_Level'] = (df_merge_harris['Population_Below_Poverty_Level'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_Black_African_American'] = (df_merge_harris['Population_Black_African_American'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_American_Indian'] = (df_merge_harris['Population_American_Indian'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_Asian'] = (df_merge_harris['Population_Asian'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_Native_Hawaiian_PI'] = (df_merge_harris['Population_Native_Hawaiian_PI'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_Other_Race'] = (df_merge_harris['Population_Other_Race'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_Hispanic_Latino'] = (df_merge_harris['Population_Hispanic_Latino'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_50_PL'] = (df_merge_harris['Pop_50_PL'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_125_PL'] = (df_merge_harris['Pop_125_PL'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_185_PL'] = (df_merge_harris['Pop_185_PL'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_200_PL'] = (df_merge_harris['Pop_200_PL'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_300_PL'] = (df_merge_harris['Pop_300_PL'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_400_PL'] = (df_merge_harris['Pop_400_PL'] / df_merge_harris['Total Population'])*100\n",
    "df_merge_harris['Percent_500_PL'] = (df_merge_harris['Pop_500_PL'] / df_merge_harris['Total Population'])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final_harris = df_merge_harris.filter(['ZIP',\n",
    "                            'Total Releases',\n",
    "                            'Total Population',\n",
    "                            'Percent_Below_Poverty_Level',\n",
    "                            'Percent_White',\n",
    "                            'Percent_Black_African_American',\n",
    "                            'Percent_American_Indian',\n",
    "                            'Percent_Asian',\n",
    "                            'Percent_Native_Hawaiian_PI',\n",
    "                            'Percent_Other_Race',\n",
    "                            'Percent_Hispanic_Latino',\n",
    "                            'Percent_50_PL',\n",
    "                            'Percent_125_PL',\n",
    "                            'Percent_185_PL',\n",
    "                            'Percent_200_PL',\n",
    "                            'Percent_300_PL',\n",
    "                            'Percent_400_PL',\n",
    "                            'Percent_500_PL'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "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>ZIP</th>\n",
       "      <th>Total Releases</th>\n",
       "      <th>Total Population</th>\n",
       "      <th>Percent_Below_Poverty_Level</th>\n",
       "      <th>Percent_White</th>\n",
       "      <th>Percent_Black_African_American</th>\n",
       "      <th>Percent_American_Indian</th>\n",
       "      <th>Percent_Asian</th>\n",
       "      <th>Percent_Native_Hawaiian_PI</th>\n",
       "      <th>Percent_Other_Race</th>\n",
       "      <th>Percent_Hispanic_Latino</th>\n",
       "      <th>Percent_50_PL</th>\n",
       "      <th>Percent_125_PL</th>\n",
       "      <th>Percent_185_PL</th>\n",
       "      <th>Percent_200_PL</th>\n",
       "      <th>Percent_300_PL</th>\n",
       "      <th>Percent_400_PL</th>\n",
       "      <th>Percent_500_PL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>77536</td>\n",
       "      <td>1.593846e+07</td>\n",
       "      <td>31865</td>\n",
       "      <td>7.453319</td>\n",
       "      <td>58.104503</td>\n",
       "      <td>1.449867</td>\n",
       "      <td>0.922642</td>\n",
       "      <td>1.653852</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.815001</td>\n",
       "      <td>37.363879</td>\n",
       "      <td>3.276322</td>\n",
       "      <td>8.771379</td>\n",
       "      <td>18.732151</td>\n",
       "      <td>20.878707</td>\n",
       "      <td>36.908834</td>\n",
       "      <td>54.815628</td>\n",
       "      <td>67.174015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77571</td>\n",
       "      <td>7.254232e+06</td>\n",
       "      <td>37298</td>\n",
       "      <td>9.528661</td>\n",
       "      <td>56.657193</td>\n",
       "      <td>5.946700</td>\n",
       "      <td>0.423615</td>\n",
       "      <td>1.177007</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.480133</td>\n",
       "      <td>33.830232</td>\n",
       "      <td>3.394284</td>\n",
       "      <td>12.839831</td>\n",
       "      <td>21.097646</td>\n",
       "      <td>24.274760</td>\n",
       "      <td>42.163119</td>\n",
       "      <td>57.633117</td>\n",
       "      <td>67.126924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77530</td>\n",
       "      <td>4.999060e+06</td>\n",
       "      <td>33387</td>\n",
       "      <td>16.922754</td>\n",
       "      <td>18.770779</td>\n",
       "      <td>12.441968</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.185701</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.240782</td>\n",
       "      <td>67.472369</td>\n",
       "      <td>9.488723</td>\n",
       "      <td>25.755534</td>\n",
       "      <td>39.997604</td>\n",
       "      <td>42.121185</td>\n",
       "      <td>61.014766</td>\n",
       "      <td>80.252793</td>\n",
       "      <td>87.507114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77520</td>\n",
       "      <td>4.044139e+06</td>\n",
       "      <td>35114</td>\n",
       "      <td>18.118130</td>\n",
       "      <td>29.455488</td>\n",
       "      <td>12.946403</td>\n",
       "      <td>0.065501</td>\n",
       "      <td>0.734750</td>\n",
       "      <td>0.082588</td>\n",
       "      <td>10.050122</td>\n",
       "      <td>54.978071</td>\n",
       "      <td>6.407701</td>\n",
       "      <td>23.950561</td>\n",
       "      <td>36.765962</td>\n",
       "      <td>39.366065</td>\n",
       "      <td>62.055021</td>\n",
       "      <td>75.226405</td>\n",
       "      <td>82.995386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77507</td>\n",
       "      <td>3.543322e+06</td>\n",
       "      <td>312</td>\n",
       "      <td>19.230769</td>\n",
       "      <td>68.269231</td>\n",
       "      <td>14.423077</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.487179</td>\n",
       "      <td>17.307692</td>\n",
       "      <td>19.230769</td>\n",
       "      <td>19.230769</td>\n",
       "      <td>32.051282</td>\n",
       "      <td>39.423077</td>\n",
       "      <td>45.833333</td>\n",
       "      <td>60.256410</td>\n",
       "      <td>75.961538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>77076</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>35866</td>\n",
       "      <td>30.898344</td>\n",
       "      <td>4.826298</td>\n",
       "      <td>6.220376</td>\n",
       "      <td>0.225841</td>\n",
       "      <td>0.471198</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.172029</td>\n",
       "      <td>88.431941</td>\n",
       "      <td>11.841298</td>\n",
       "      <td>37.021134</td>\n",
       "      <td>55.863492</td>\n",
       "      <td>61.453744</td>\n",
       "      <td>82.495957</td>\n",
       "      <td>92.129036</td>\n",
       "      <td>96.807561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>77077</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>59449</td>\n",
       "      <td>10.905146</td>\n",
       "      <td>39.746674</td>\n",
       "      <td>21.640398</td>\n",
       "      <td>0.348198</td>\n",
       "      <td>12.881630</td>\n",
       "      <td>0.117748</td>\n",
       "      <td>3.196017</td>\n",
       "      <td>22.883480</td>\n",
       "      <td>4.899998</td>\n",
       "      <td>14.937173</td>\n",
       "      <td>23.934801</td>\n",
       "      <td>25.416744</td>\n",
       "      <td>39.053643</td>\n",
       "      <td>51.376810</td>\n",
       "      <td>61.242409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>77043</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>24608</td>\n",
       "      <td>13.666287</td>\n",
       "      <td>43.006339</td>\n",
       "      <td>4.396944</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.797952</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.689207</td>\n",
       "      <td>43.042913</td>\n",
       "      <td>6.351593</td>\n",
       "      <td>19.497724</td>\n",
       "      <td>30.234070</td>\n",
       "      <td>33.521619</td>\n",
       "      <td>48.390767</td>\n",
       "      <td>63.255852</td>\n",
       "      <td>70.042263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>77033</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>30438</td>\n",
       "      <td>27.919049</td>\n",
       "      <td>1.176161</td>\n",
       "      <td>66.499113</td>\n",
       "      <td>0.111702</td>\n",
       "      <td>0.298968</td>\n",
       "      <td>0.147842</td>\n",
       "      <td>2.881267</td>\n",
       "      <td>31.693935</td>\n",
       "      <td>10.125501</td>\n",
       "      <td>38.264669</td>\n",
       "      <td>55.900519</td>\n",
       "      <td>59.800250</td>\n",
       "      <td>77.735068</td>\n",
       "      <td>88.931599</td>\n",
       "      <td>94.056771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>77092</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>38312</td>\n",
       "      <td>31.483608</td>\n",
       "      <td>20.594070</td>\n",
       "      <td>11.134892</td>\n",
       "      <td>0.044373</td>\n",
       "      <td>1.524327</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.241595</td>\n",
       "      <td>65.483399</td>\n",
       "      <td>11.998852</td>\n",
       "      <td>38.959073</td>\n",
       "      <td>56.368762</td>\n",
       "      <td>60.774692</td>\n",
       "      <td>72.794425</td>\n",
       "      <td>80.802360</td>\n",
       "      <td>87.069326</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>76 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ZIP  Total Releases  Total Population  Percent_Below_Poverty_Level  \\\n",
       "0   77536    1.593846e+07             31865                     7.453319   \n",
       "1   77571    7.254232e+06             37298                     9.528661   \n",
       "2   77530    4.999060e+06             33387                    16.922754   \n",
       "3   77520    4.044139e+06             35114                    18.118130   \n",
       "4   77507    3.543322e+06               312                    19.230769   \n",
       "..    ...             ...               ...                          ...   \n",
       "71  77076    0.000000e+00             35866                    30.898344   \n",
       "72  77077    0.000000e+00             59449                    10.905146   \n",
       "73  77043    0.000000e+00             24608                    13.666287   \n",
       "74  77033    0.000000e+00             30438                    27.919049   \n",
       "75  77092    0.000000e+00             38312                    31.483608   \n",
       "\n",
       "    Percent_White  Percent_Black_African_American  Percent_American_Indian  \\\n",
       "0       58.104503                        1.449867                 0.922642   \n",
       "1       56.657193                        5.946700                 0.423615   \n",
       "2       18.770779                       12.441968                 0.000000   \n",
       "3       29.455488                       12.946403                 0.065501   \n",
       "4       68.269231                       14.423077                 0.000000   \n",
       "..            ...                             ...                      ...   \n",
       "71       4.826298                        6.220376                 0.225841   \n",
       "72      39.746674                       21.640398                 0.348198   \n",
       "73      43.006339                        4.396944                 0.000000   \n",
       "74       1.176161                       66.499113                 0.111702   \n",
       "75      20.594070                       11.134892                 0.044373   \n",
       "\n",
       "    Percent_Asian  Percent_Native_Hawaiian_PI  Percent_Other_Race  \\\n",
       "0        1.653852                    0.000000            2.815001   \n",
       "1        1.177007                    0.000000            4.480133   \n",
       "2        0.185701                    0.000000            3.240782   \n",
       "3        0.734750                    0.082588           10.050122   \n",
       "4        0.000000                    0.000000            4.487179   \n",
       "..            ...                         ...                 ...   \n",
       "71       0.471198                    0.000000            5.172029   \n",
       "72      12.881630                    0.117748            3.196017   \n",
       "73       8.797952                    0.000000            5.689207   \n",
       "74       0.298968                    0.147842            2.881267   \n",
       "75       1.524327                    0.000000           37.241595   \n",
       "\n",
       "    Percent_Hispanic_Latino  Percent_50_PL  Percent_125_PL  Percent_185_PL  \\\n",
       "0                 37.363879       3.276322        8.771379       18.732151   \n",
       "1                 33.830232       3.394284       12.839831       21.097646   \n",
       "2                 67.472369       9.488723       25.755534       39.997604   \n",
       "3                 54.978071       6.407701       23.950561       36.765962   \n",
       "4                 17.307692      19.230769       19.230769       32.051282   \n",
       "..                      ...            ...             ...             ...   \n",
       "71                88.431941      11.841298       37.021134       55.863492   \n",
       "72                22.883480       4.899998       14.937173       23.934801   \n",
       "73                43.042913       6.351593       19.497724       30.234070   \n",
       "74                31.693935      10.125501       38.264669       55.900519   \n",
       "75                65.483399      11.998852       38.959073       56.368762   \n",
       "\n",
       "    Percent_200_PL  Percent_300_PL  Percent_400_PL  Percent_500_PL  \n",
       "0        20.878707       36.908834       54.815628       67.174015  \n",
       "1        24.274760       42.163119       57.633117       67.126924  \n",
       "2        42.121185       61.014766       80.252793       87.507114  \n",
       "3        39.366065       62.055021       75.226405       82.995386  \n",
       "4        39.423077       45.833333       60.256410       75.961538  \n",
       "..             ...             ...             ...             ...  \n",
       "71       61.453744       82.495957       92.129036       96.807561  \n",
       "72       25.416744       39.053643       51.376810       61.242409  \n",
       "73       33.521619       48.390767       63.255852       70.042263  \n",
       "74       59.800250       77.735068       88.931599       94.056771  \n",
       "75       60.774692       72.794425       80.802360       87.069326  \n",
       "\n",
       "[76 rows x 18 columns]"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_harris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final_harris.to_csv(r'/harris_county_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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