exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['TractId', 'State', 'County', 'TotalPop', 'Men', 'Women', 'Hispanic',\n",
       "       'White', 'Black', 'Native', 'Asian', 'Pacific', 'VotingAgeCitizen',\n",
       "       'Income', 'IncomeErr', 'IncomePerCap', 'IncomePerCapErr', 'Poverty',\n",
       "       'ChildPoverty', 'Professional', 'Service', 'Office', 'Construction',\n",
       "       'Production', 'Drive', 'Carpool', 'Transit', 'Walk', 'OtherTransp',\n",
       "       'WorkAtHome', 'MeanCommute', 'Employed', 'PrivateWork', 'PublicWork',\n",
       "       'SelfEmployed', 'FamilyWork', 'Unemployment'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set_theme()\n",
    "df = pd.read_csv('archive/acs2017_census_tract_data.csv')\n",
    "# df.head()\n",
    "# df.describe()\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12126 30516 30614\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\LOWRYEC17\\AppData\\Local\\Temp\\ipykernel_16688\\1435364065.py:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['med_income'][df['IncomePerCap'] >= 42_000] = False\n",
      "C:\\Users\\LOWRYEC17\\AppData\\Local\\Temp\\ipykernel_16688\\1435364065.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['IncomeRange'][df['low_income']] = 'low'\n",
      "C:\\Users\\LOWRYEC17\\AppData\\Local\\Temp\\ipykernel_16688\\1435364065.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['IncomeRange'][df['med_income']] = 'med'\n",
      "C:\\Users\\LOWRYEC17\\AppData\\Local\\Temp\\ipykernel_16688\\1435364065.py:21: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['IncomeRange'][df['high_income']] = 'high'\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Professional', ylabel='IncomePerCap'>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "incomespc = df['IncomePerCap']\n",
    "high_income = pd.Series([income for income in incomespc if income >= 42_000])\n",
    "\n",
    "med_income = pd.Series([income for income in incomespc if income >= 25_000 and income < 42_000])\n",
    "\n",
    "low_income = pd.Series([income for income in incomespc if income < 25_000])\n",
    "\n",
    "print(len(high_income), len(med_income), len(low_income))\n",
    "\n",
    "# low_income.describe()\n",
    "\n",
    "# plt.hist([high_income, med_income, low_income])\n",
    "\n",
    "df['high_income'] = df['IncomePerCap'] >= 42_000\n",
    "df['med_income'] = df['IncomePerCap'] >= 25_000\n",
    "df['med_income'][df['IncomePerCap'] >= 42_000] = False\n",
    "df['low_income'] = df['IncomePerCap'] < 25_000\n",
    "df['IncomeRange'] = \"\"\n",
    "df['IncomeRange'][df['low_income']] = 'low'\n",
    "df['IncomeRange'][df['med_income']] = 'med'\n",
    "df['IncomeRange'][df['high_income']] = 'high'\n",
    "\n",
    "\n",
    "# print(df[['high_income', 'med_income', 'low_income', 'IncomeRange','IncomePerCap']].sample(100))\n",
    "sns.scatterplot(x=df['Professional'], y=df['IncomePerCap'], hue=df['IncomeRange'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1897., 1066.,  893.,  731.,  643.,  606.,  571.,  529.,  510.,\n",
       "         563.,  467.,  450.,  452.,  429.,  431.,  430.,  432.,  421.,\n",
       "         433.,  385.,  409.,  397.,  407.,  400.,  399.,  405.,  398.,\n",
       "         499.,  438.,  458.,  405.,  406.,  441.,  428.,  437.,  430.,\n",
       "         476.,  436.,  489.,  466.,  471.,  527.,  535.,  536.,  557.,\n",
       "         621.,  564.,  565.,  567.,  583.,  630.,  637.,  684.,  695.,\n",
       "         785.,  722.,  704.,  728.,  760.,  851.,  869.,  859.,  868.,\n",
       "         966.,  924.,  996., 1040.,  993., 1067., 1099., 1103., 1186.,\n",
       "        1319., 1181., 1302., 1339., 1362., 1397., 1461., 1425., 1618.,\n",
       "        1829., 1718., 1837., 1974., 2184., 2087., 1810., 1200.,  607.]),\n",
       " array([  0.        ,   1.11111111,   2.22222222,   3.33333333,\n",
       "          4.44444444,   5.55555556,   6.66666667,   7.77777778,\n",
       "          8.88888889,  10.        ,  11.11111111,  12.22222222,\n",
       "         13.33333333,  14.44444444,  15.55555556,  16.66666667,\n",
       "         17.77777778,  18.88888889,  20.        ,  21.11111111,\n",
       "         22.22222222,  23.33333333,  24.44444444,  25.55555556,\n",
       "         26.66666667,  27.77777778,  28.88888889,  30.        ,\n",
       "         31.11111111,  32.22222222,  33.33333333,  34.44444444,\n",
       "         35.55555556,  36.66666667,  37.77777778,  38.88888889,\n",
       "         40.        ,  41.11111111,  42.22222222,  43.33333333,\n",
       "         44.44444444,  45.55555556,  46.66666667,  47.77777778,\n",
       "         48.88888889,  50.        ,  51.11111111,  52.22222222,\n",
       "         53.33333333,  54.44444444,  55.55555556,  56.66666667,\n",
       "         57.77777778,  58.88888889,  60.        ,  61.11111111,\n",
       "         62.22222222,  63.33333333,  64.44444444,  65.55555556,\n",
       "         66.66666667,  67.77777778,  68.88888889,  70.        ,\n",
       "         71.11111111,  72.22222222,  73.33333333,  74.44444444,\n",
       "         75.55555556,  76.66666667,  77.77777778,  78.88888889,\n",
       "         80.        ,  81.11111111,  82.22222222,  83.33333333,\n",
       "         84.44444444,  85.55555556,  86.66666667,  87.77777778,\n",
       "         88.88888889,  90.        ,  91.11111111,  92.22222222,\n",
       "         93.33333333,  94.44444444,  95.55555556,  96.66666667,\n",
       "         97.77777778,  98.88888889, 100.        ]),\n",
       " <BarContainer object of 90 artists>)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['White'], bins=90)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([23831.,  8021.,  5324.,  4123.,  3013.,  2485.,  2226.,  1883.,\n",
       "         1538.,  1478.,  1093.,  1079.,  1081.,   844.,   764.,   733.,\n",
       "          652.,   594.,   584.,   503.,   491.,   493.,   393.,   388.,\n",
       "          428.,   305.,   305.,   326.,   297.,   296.,   269.,   246.,\n",
       "          232.,   233.,   202.,   188.,   182.,   207.,   190.,   195.,\n",
       "          186.,   151.,   178.,   155.,   178.,   172.,   136.,   161.,\n",
       "          173.,   170.,   144.,   141.,   115.,   134.,   138.,   139.,\n",
       "          131.,   150.,   143.,   137.,   136.,   171.,   157.,   134.,\n",
       "          145.,   161.,   198.,   189.,   155.,   212.,   208.,   184.,\n",
       "          217.,   167.,   124.]),\n",
       " array([  0.        ,   1.33333333,   2.66666667,   4.        ,\n",
       "          5.33333333,   6.66666667,   8.        ,   9.33333333,\n",
       "         10.66666667,  12.        ,  13.33333333,  14.66666667,\n",
       "         16.        ,  17.33333333,  18.66666667,  20.        ,\n",
       "         21.33333333,  22.66666667,  24.        ,  25.33333333,\n",
       "         26.66666667,  28.        ,  29.33333333,  30.66666667,\n",
       "         32.        ,  33.33333333,  34.66666667,  36.        ,\n",
       "         37.33333333,  38.66666667,  40.        ,  41.33333333,\n",
       "         42.66666667,  44.        ,  45.33333333,  46.66666667,\n",
       "         48.        ,  49.33333333,  50.66666667,  52.        ,\n",
       "         53.33333333,  54.66666667,  56.        ,  57.33333333,\n",
       "         58.66666667,  60.        ,  61.33333333,  62.66666667,\n",
       "         64.        ,  65.33333333,  66.66666667,  68.        ,\n",
       "         69.33333333,  70.66666667,  72.        ,  73.33333333,\n",
       "         74.66666667,  76.        ,  77.33333333,  78.66666667,\n",
       "         80.        ,  81.33333333,  82.66666667,  84.        ,\n",
       "         85.33333333,  86.66666667,  88.        ,  89.33333333,\n",
       "         90.66666667,  92.        ,  93.33333333,  94.66666667,\n",
       "         96.        ,  97.33333333,  98.66666667, 100.        ]),\n",
       " <BarContainer object of 75 artists>)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['Black'], bins=75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([10383.,  8164.,  6371.,  5586.,  4102.,  3438.,  3051.,  2427.,\n",
       "         2008.,  1967.,  1618.,  1411.,  1353.,  1212.,  1014.,  1077.,\n",
       "          832.,   769.,   789.,   680.,   621.,   609.,   597.,   539.,\n",
       "          528.,   448.,   431.,   414.,   370.,   389.,   356.,   312.,\n",
       "          337.,   327.,   314.,   294.,   297.,   256.,   250.,   293.,\n",
       "          230.,   199.,   272.,   234.,   224.,   255.,   216.,   224.,\n",
       "          212.,   214.,   204.,   216.,   198.,   197.,   189.,   169.,\n",
       "          179.,   187.,   138.,   163.,   164.,   149.,   128.,   167.,\n",
       "          139.,   149.,   127.,   130.,   113.,   145.,   135.,   152.,\n",
       "          202.,   266.,   785.]),\n",
       " array([  0.        ,   1.33333333,   2.66666667,   4.        ,\n",
       "          5.33333333,   6.66666667,   8.        ,   9.33333333,\n",
       "         10.66666667,  12.        ,  13.33333333,  14.66666667,\n",
       "         16.        ,  17.33333333,  18.66666667,  20.        ,\n",
       "         21.33333333,  22.66666667,  24.        ,  25.33333333,\n",
       "         26.66666667,  28.        ,  29.33333333,  30.66666667,\n",
       "         32.        ,  33.33333333,  34.66666667,  36.        ,\n",
       "         37.33333333,  38.66666667,  40.        ,  41.33333333,\n",
       "         42.66666667,  44.        ,  45.33333333,  46.66666667,\n",
       "         48.        ,  49.33333333,  50.66666667,  52.        ,\n",
       "         53.33333333,  54.66666667,  56.        ,  57.33333333,\n",
       "         58.66666667,  60.        ,  61.33333333,  62.66666667,\n",
       "         64.        ,  65.33333333,  66.66666667,  68.        ,\n",
       "         69.33333333,  70.66666667,  72.        ,  73.33333333,\n",
       "         74.66666667,  76.        ,  77.33333333,  78.66666667,\n",
       "         80.        ,  81.33333333,  82.66666667,  84.        ,\n",
       "         85.33333333,  86.66666667,  88.        ,  89.33333333,\n",
       "         90.66666667,  92.        ,  93.33333333,  94.66666667,\n",
       "         96.        ,  97.33333333,  98.66666667, 100.        ]),\n",
       " <BarContainer object of 75 artists>)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.hist(df['Hispanic'], bins=75)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([3.5638e+04, 9.8280e+03, 5.9580e+03, 4.4410e+03, 2.8800e+03,\n",
       "        2.2300e+03, 1.9900e+03, 1.3990e+03, 1.1350e+03, 9.2900e+02,\n",
       "        7.4000e+02, 6.7500e+02, 5.5800e+02, 4.6900e+02, 3.8900e+02,\n",
       "        4.2700e+02, 3.1000e+02, 3.0200e+02, 2.4700e+02, 2.1100e+02,\n",
       "        2.0400e+02, 2.0000e+02, 1.7100e+02, 1.4100e+02, 1.2600e+02,\n",
       "        1.1900e+02, 1.0800e+02, 1.3800e+02, 9.3000e+01, 1.0000e+02,\n",
       "        8.4000e+01, 8.3000e+01, 7.4000e+01, 6.5000e+01, 6.3000e+01,\n",
       "        5.6000e+01, 4.9000e+01, 5.6000e+01, 4.5000e+01, 4.3000e+01,\n",
       "        4.3000e+01, 3.9000e+01, 4.2000e+01, 3.6000e+01, 4.2000e+01,\n",
       "        3.1000e+01, 3.3000e+01, 2.1000e+01, 3.2000e+01, 2.1000e+01,\n",
       "        2.8000e+01, 2.1000e+01, 1.7000e+01, 1.6000e+01, 2.0000e+01,\n",
       "        1.3000e+01, 1.5000e+01, 1.2000e+01, 9.0000e+00, 1.0000e+01,\n",
       "        9.0000e+00, 6.0000e+00, 5.0000e+00, 3.0000e+00, 0.0000e+00,\n",
       "        2.0000e+00, 2.0000e+00, 1.0000e+00, 1.0000e+00, 0.0000e+00,\n",
       "        0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]),\n",
       " array([  0.        ,   1.33333333,   2.66666667,   4.        ,\n",
       "          5.33333333,   6.66666667,   8.        ,   9.33333333,\n",
       "         10.66666667,  12.        ,  13.33333333,  14.66666667,\n",
       "         16.        ,  17.33333333,  18.66666667,  20.        ,\n",
       "         21.33333333,  22.66666667,  24.        ,  25.33333333,\n",
       "         26.66666667,  28.        ,  29.33333333,  30.66666667,\n",
       "         32.        ,  33.33333333,  34.66666667,  36.        ,\n",
       "         37.33333333,  38.66666667,  40.        ,  41.33333333,\n",
       "         42.66666667,  44.        ,  45.33333333,  46.66666667,\n",
       "         48.        ,  49.33333333,  50.66666667,  52.        ,\n",
       "         53.33333333,  54.66666667,  56.        ,  57.33333333,\n",
       "         58.66666667,  60.        ,  61.33333333,  62.66666667,\n",
       "         64.        ,  65.33333333,  66.66666667,  68.        ,\n",
       "         69.33333333,  70.66666667,  72.        ,  73.33333333,\n",
       "         74.66666667,  76.        ,  77.33333333,  78.66666667,\n",
       "         80.        ,  81.33333333,  82.66666667,  84.        ,\n",
       "         85.33333333,  86.66666667,  88.        ,  89.33333333,\n",
       "         90.66666667,  92.        ,  93.33333333,  94.66666667,\n",
       "         96.        ,  97.33333333,  98.66666667, 100.        ]),\n",
       " <BarContainer object of 75 artists>)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['Asian'], bins=75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([7.1595e+04, 8.9100e+02, 3.6000e+02, 1.5900e+02, 9.3000e+01,\n",
       "        4.9000e+01, 4.5000e+01, 3.4000e+01, 1.2000e+01, 1.2000e+01,\n",
       "        9.0000e+00, 1.1000e+01, 0.0000e+00, 3.0000e+00, 5.0000e+00,\n",
       "        5.0000e+00, 1.0000e+00, 0.0000e+00, 2.0000e+00, 0.0000e+00,\n",
       "        3.0000e+00, 1.0000e+00, 2.0000e+00, 4.0000e+00, 1.0000e+00,\n",
       "        0.0000e+00, 1.0000e+00, 2.0000e+00, 0.0000e+00, 0.0000e+00,\n",
       "        0.0000e+00, 0.0000e+00, 2.0000e+00, 0.0000e+00, 0.0000e+00,\n",
       "        0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00,\n",
       "        0.0000e+00, 0.0000e+00, 1.0000e+00, 1.0000e+00, 0.0000e+00,\n",
       "        0.0000e+00, 0.0000e+00, 0.0000e+00, 0.0000e+00, 1.0000e+00]),\n",
       " array([ 0.   ,  1.438,  2.876,  4.314,  5.752,  7.19 ,  8.628, 10.066,\n",
       "        11.504, 12.942, 14.38 , 15.818, 17.256, 18.694, 20.132, 21.57 ,\n",
       "        23.008, 24.446, 25.884, 27.322, 28.76 , 30.198, 31.636, 33.074,\n",
       "        34.512, 35.95 , 37.388, 38.826, 40.264, 41.702, 43.14 , 44.578,\n",
       "        46.016, 47.454, 48.892, 50.33 , 51.768, 53.206, 54.644, 56.082,\n",
       "        57.52 , 58.958, 60.396, 61.834, 63.272, 64.71 , 66.148, 67.586,\n",
       "        69.024, 70.462, 71.9  ]),\n",
       " <BarContainer object of 50 artists>)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.hist(df['Pacific'], bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([6.9084e+04, 2.2400e+03, 7.0800e+02, 3.1200e+02, 1.6600e+02,\n",
       "        1.2900e+02, 1.0100e+02, 7.5000e+01, 7.3000e+01, 4.9000e+01,\n",
       "        4.3000e+01, 2.5000e+01, 1.3000e+01, 9.0000e+00, 1.4000e+01,\n",
       "        1.0000e+01, 1.1000e+01, 1.3000e+01, 8.0000e+00, 8.0000e+00,\n",
       "        6.0000e+00, 4.0000e+00, 5.0000e+00, 1.1000e+01, 8.0000e+00,\n",
       "        8.0000e+00, 3.0000e+00, 5.0000e+00, 3.0000e+00, 7.0000e+00,\n",
       "        4.0000e+00, 4.0000e+00, 0.0000e+00, 4.0000e+00, 8.0000e+00,\n",
       "        3.0000e+00, 3.0000e+00, 4.0000e+00, 5.0000e+00, 7.0000e+00,\n",
       "        1.4000e+01, 8.0000e+00, 1.2000e+01, 4.0000e+00, 1.1000e+01,\n",
       "        9.0000e+00, 1.6000e+01, 1.9000e+01, 1.4000e+01, 5.0000e+00]),\n",
       " array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,\n",
       "         22.,  24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,\n",
       "         44.,  46.,  48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,\n",
       "         66.,  68.,  70.,  72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,\n",
       "         88.,  90.,  92.,  94.,  96.,  98., 100.]),\n",
       " <BarContainer object of 50 artists>)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.hist(df['Native'], bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TractId \n",
      " TractId            1.000000\n",
      "Asian             -0.150151\n",
      "WorkAtHome        -0.097946\n",
      "IncomeErr         -0.089584\n",
      "OtherTransp       -0.085872\n",
      "White              0.076640\n",
      "Income            -0.076631\n",
      "PublicWork         0.068646\n",
      "IncomePerCapErr   -0.066494\n",
      "SelfEmployed      -0.064535\n",
      "Name: TractId, dtype: float64 \n",
      "\n",
      "\n",
      "TotalPop \n",
      " TotalPop            1.000000\n",
      "Women               0.983674\n",
      "Men                 0.982910\n",
      "VotingAgeCitizen    0.942594\n",
      "Employed            0.931182\n",
      "Income              0.182181\n",
      "Poverty            -0.162509\n",
      "ChildPoverty       -0.152734\n",
      "Unemployment       -0.133001\n",
      "Walk               -0.112854\n",
      "Name: TotalPop, dtype: float64 \n",
      "\n",
      "\n",
      "Men \n",
      " Men                 1.000000\n",
      "TotalPop            0.982910\n",
      "Women               0.933735\n",
      "VotingAgeCitizen    0.927592\n",
      "Employed            0.904274\n",
      "Income              0.184747\n",
      "Poverty            -0.165045\n",
      "ChildPoverty       -0.157076\n",
      "Unemployment       -0.140968\n",
      "Black              -0.126406\n",
      "Name: Men, dtype: float64 \n",
      "\n",
      "\n",
      "Women \n",
      " Women               1.000000\n",
      "TotalPop            0.983674\n",
      "Men                 0.933735\n",
      "Employed            0.926727\n",
      "VotingAgeCitizen    0.926124\n",
      "Income              0.174057\n",
      "Poverty            -0.154889\n",
      "ChildPoverty       -0.143707\n",
      "Walk               -0.122717\n",
      "Unemployment       -0.120981\n",
      "Name: Women, dtype: float64 \n",
      "\n",
      "\n",
      "Hispanic \n",
      " Hispanic        1.000000\n",
      "White          -0.661312\n",
      "Professional   -0.332280\n",
      "Poverty         0.327657\n",
      "ChildPoverty    0.313602\n",
      "IncomePerCap   -0.304357\n",
      "Service         0.283036\n",
      "Construction    0.273561\n",
      "Carpool         0.254384\n",
      "Income         -0.222297\n",
      "Name: Hispanic, dtype: float64 \n",
      "\n",
      "\n",
      "White \n",
      " White           1.000000\n",
      "Hispanic       -0.661312\n",
      "Black          -0.575218\n",
      "Poverty        -0.503283\n",
      "ChildPoverty   -0.485133\n",
      "Unemployment   -0.462297\n",
      "Service        -0.462039\n",
      "IncomePerCap    0.373485\n",
      "Transit        -0.351349\n",
      "Professional    0.347761\n",
      "Name: White, dtype: float64 \n",
      "\n",
      "\n",
      "Black \n",
      " Black           1.000000\n",
      "White          -0.575218\n",
      "Unemployment    0.447305\n",
      "ChildPoverty    0.408373\n",
      "Poverty         0.398925\n",
      "Service         0.370044\n",
      "Income         -0.312494\n",
      "IncomePerCap   -0.283210\n",
      "Transit         0.260243\n",
      "Professional   -0.251866\n",
      "Name: Black, dtype: float64 \n",
      "\n",
      "\n",
      "Native \n",
      " Native          1.000000\n",
      "PublicWork      0.242971\n",
      "PrivateWork    -0.223066\n",
      "Unemployment    0.100537\n",
      "Poverty         0.088559\n",
      "IncomePerCap   -0.076966\n",
      "Income         -0.074672\n",
      "White          -0.074452\n",
      "ChildPoverty    0.073009\n",
      "Construction    0.069610\n",
      "Name: Native, dtype: float64 \n",
      "\n",
      "\n",
      "Asian \n",
      " Asian           1.000000\n",
      "Income          0.300778\n",
      "Professional    0.276950\n",
      "Drive          -0.255715\n",
      "Transit         0.254939\n",
      "White          -0.254051\n",
      "Construction   -0.244870\n",
      "IncomeErr       0.223485\n",
      "Production     -0.223026\n",
      "IncomePerCap    0.216731\n",
      "Name: Asian, dtype: float64 \n",
      "\n",
      "\n",
      "Pacific \n",
      " Pacific        1.000000\n",
      "Asian          0.163134\n",
      "White         -0.095890\n",
      "Carpool        0.068952\n",
      "TractId       -0.054035\n",
      "Service        0.053664\n",
      "OtherTransp    0.047717\n",
      "Drive         -0.041380\n",
      "Black         -0.037574\n",
      "PublicWork     0.037067\n",
      "Name: Pacific, dtype: float64 \n",
      "\n",
      "\n",
      "VotingAgeCitizen \n",
      " VotingAgeCitizen    1.000000\n",
      "TotalPop            0.942594\n",
      "Men                 0.927592\n",
      "Women               0.926124\n",
      "Employed            0.887546\n",
      "ChildPoverty       -0.237107\n",
      "Poverty            -0.235684\n",
      "Income              0.208310\n",
      "Service            -0.183365\n",
      "Professional        0.176414\n",
      "Name: VotingAgeCitizen, dtype: float64 \n",
      "\n",
      "\n",
      "Income \n",
      " Income             1.000000\n",
      "IncomePerCap       0.836809\n",
      "Professional       0.735682\n",
      "Poverty           -0.694076\n",
      "ChildPoverty      -0.649371\n",
      "IncomeErr          0.607272\n",
      "Service           -0.585063\n",
      "Production        -0.504671\n",
      "IncomePerCapErr    0.486264\n",
      "Unemployment      -0.456797\n",
      "Name: Income, dtype: float64 \n",
      "\n",
      "\n",
      "IncomeErr \n",
      " IncomeErr          1.000000\n",
      "Income             0.607272\n",
      "IncomePerCap       0.601452\n",
      "IncomePerCapErr    0.514632\n",
      "Professional       0.483852\n",
      "Production        -0.364038\n",
      "Poverty           -0.339394\n",
      "ChildPoverty      -0.336741\n",
      "Service           -0.321820\n",
      "WorkAtHome         0.288440\n",
      "Name: IncomeErr, dtype: float64 \n",
      "\n",
      "\n",
      "IncomePerCap \n",
      " IncomePerCap       1.000000\n",
      "Income             0.836809\n",
      "Professional       0.800398\n",
      "IncomePerCapErr    0.752062\n",
      "IncomeErr          0.601452\n",
      "Poverty           -0.594810\n",
      "Service           -0.580823\n",
      "ChildPoverty      -0.572344\n",
      "Production        -0.542442\n",
      "WorkAtHome         0.441172\n",
      "Name: IncomePerCap, dtype: float64 \n",
      "\n",
      "\n",
      "IncomePerCapErr \n",
      " IncomePerCapErr    1.000000\n",
      "IncomePerCap       0.752062\n",
      "Professional       0.527001\n",
      "IncomeErr          0.514632\n",
      "Income             0.486264\n",
      "Production        -0.379835\n",
      "WorkAtHome         0.339850\n",
      "Service           -0.332235\n",
      "Construction      -0.298039\n",
      "ChildPoverty      -0.279761\n",
      "Name: IncomePerCapErr, dtype: float64 \n",
      "\n",
      "\n",
      "Poverty \n",
      " Poverty         1.000000\n",
      "ChildPoverty    0.889862\n",
      "Income         -0.694076\n",
      "Unemployment    0.624511\n",
      "IncomePerCap   -0.594810\n",
      "Service         0.577101\n",
      "Professional   -0.533076\n",
      "White          -0.503283\n",
      "Black           0.398925\n",
      "IncomeErr      -0.339394\n",
      "Name: Poverty, dtype: float64 \n",
      "\n",
      "\n",
      "ChildPoverty \n",
      " ChildPoverty    1.000000\n",
      "Poverty         0.889862\n",
      "Income         -0.649371\n",
      "IncomePerCap   -0.572344\n",
      "Unemployment    0.571658\n",
      "Professional   -0.561883\n",
      "Service         0.544513\n",
      "White          -0.485133\n",
      "Black           0.408373\n",
      "Production      0.367300\n",
      "Name: ChildPoverty, dtype: float64 \n",
      "\n",
      "\n",
      "Professional \n",
      " Professional       1.000000\n",
      "IncomePerCap       0.800398\n",
      "Income             0.735682\n",
      "Production        -0.686162\n",
      "Service           -0.650671\n",
      "ChildPoverty      -0.561883\n",
      "Construction      -0.547374\n",
      "Poverty           -0.533076\n",
      "IncomePerCapErr    0.527001\n",
      "IncomeErr          0.483852\n",
      "Name: Professional, dtype: float64 \n",
      "\n",
      "\n",
      "Service \n",
      " Service            1.000000\n",
      "Professional      -0.650671\n",
      "Income            -0.585063\n",
      "IncomePerCap      -0.580823\n",
      "Poverty            0.577101\n",
      "ChildPoverty       0.544513\n",
      "White             -0.462039\n",
      "Unemployment       0.438866\n",
      "Black              0.370044\n",
      "IncomePerCapErr   -0.332235\n",
      "Name: Service, dtype: float64 \n",
      "\n",
      "\n",
      "Office \n",
      " Office             1.000000\n",
      "Professional      -0.216413\n",
      "Construction      -0.163642\n",
      "SelfEmployed      -0.141351\n",
      "Drive              0.135975\n",
      "IncomePerCap      -0.134562\n",
      "Production        -0.121055\n",
      "PrivateWork        0.109887\n",
      "OtherTransp       -0.103582\n",
      "IncomePerCapErr   -0.098589\n",
      "Name: Office, dtype: float64 \n",
      "\n",
      "\n",
      "Construction \n",
      " Construction       1.000000\n",
      "Professional      -0.547374\n",
      "IncomePerCap      -0.408269\n",
      "Income            -0.336822\n",
      "Carpool            0.318028\n",
      "Production         0.300281\n",
      "IncomePerCapErr   -0.298039\n",
      "Hispanic           0.273561\n",
      "IncomeErr         -0.255155\n",
      "Asian             -0.244870\n",
      "Name: Construction, dtype: float64 \n",
      "\n",
      "\n",
      "Production \n",
      " Production         1.000000\n",
      "Professional      -0.686162\n",
      "IncomePerCap      -0.542442\n",
      "Income            -0.504671\n",
      "IncomePerCapErr   -0.379835\n",
      "ChildPoverty       0.367300\n",
      "IncomeErr         -0.364038\n",
      "WorkAtHome        -0.346104\n",
      "Poverty            0.316001\n",
      "Carpool            0.308216\n",
      "Name: Production, dtype: float64 \n",
      "\n",
      "\n",
      "Drive \n",
      " Drive          1.000000\n",
      "Transit       -0.815732\n",
      "Walk          -0.589311\n",
      "OtherTransp   -0.372886\n",
      "White          0.340434\n",
      "Poverty       -0.284205\n",
      "MeanCommute   -0.278874\n",
      "Asian         -0.255715\n",
      "Service       -0.247089\n",
      "WorkAtHome    -0.189264\n",
      "Name: Drive, dtype: float64 \n",
      "\n",
      "\n",
      "Carpool \n",
      " Carpool         1.000000\n",
      "Professional   -0.396939\n",
      "IncomePerCap   -0.347200\n",
      "Construction    0.318028\n",
      "Production      0.308216\n",
      "Income         -0.278428\n",
      "ChildPoverty    0.265791\n",
      "White          -0.259426\n",
      "Hispanic        0.254384\n",
      "Service         0.247336\n",
      "Name: Carpool, dtype: float64 \n",
      "\n",
      "\n",
      "Transit \n",
      " Transit         1.000000\n",
      "Drive          -0.815732\n",
      "MeanCommute     0.471491\n",
      "White          -0.351349\n",
      "Black           0.260243\n",
      "Asian           0.254939\n",
      "Walk            0.243689\n",
      "Service         0.201296\n",
      "Construction   -0.192732\n",
      "Poverty         0.160781\n",
      "Name: Transit, dtype: float64 \n",
      "\n",
      "\n",
      "Walk \n",
      " Walk            1.000000\n",
      "Drive          -0.589311\n",
      "Poverty         0.291922\n",
      "Transit         0.243689\n",
      "OtherTransp     0.231875\n",
      "MeanCommute    -0.165162\n",
      "Service         0.156787\n",
      "ChildPoverty    0.139906\n",
      "Income         -0.134205\n",
      "Construction   -0.129987\n",
      "Name: Walk, dtype: float64 \n",
      "\n",
      "\n",
      "OtherTransp \n",
      " OtherTransp     1.000000\n",
      "Drive          -0.372886\n",
      "Walk            0.231875\n",
      "Poverty         0.201009\n",
      "Transit         0.144920\n",
      "White          -0.140022\n",
      "ChildPoverty    0.138761\n",
      "Service         0.122939\n",
      "Hispanic        0.106815\n",
      "Office         -0.103582\n",
      "Name: OtherTransp, dtype: float64 \n",
      "\n",
      "\n",
      "WorkAtHome \n",
      " WorkAtHome         1.000000\n",
      "IncomePerCap       0.441172\n",
      "Professional       0.418484\n",
      "Income             0.397922\n",
      "SelfEmployed       0.357825\n",
      "Production        -0.346104\n",
      "IncomePerCapErr    0.339850\n",
      "IncomeErr          0.288440\n",
      "ChildPoverty      -0.279509\n",
      "Service           -0.271650\n",
      "Name: WorkAtHome, dtype: float64 \n",
      "\n",
      "\n",
      "MeanCommute \n",
      " MeanCommute    1.000000\n",
      "Transit        0.471491\n",
      "Drive         -0.278874\n",
      "Income         0.243954\n",
      "White         -0.210254\n",
      "Asian          0.203838\n",
      "IncomeErr      0.183793\n",
      "Walk          -0.165162\n",
      "Poverty       -0.129514\n",
      "Hispanic       0.124829\n",
      "Name: MeanCommute, dtype: float64 \n",
      "\n",
      "\n",
      "Employed \n",
      " Employed            1.000000\n",
      "TotalPop            0.931182\n",
      "Women               0.926727\n",
      "Men                 0.904274\n",
      "VotingAgeCitizen    0.887546\n",
      "Income              0.312083\n",
      "Poverty            -0.311234\n",
      "ChildPoverty       -0.298517\n",
      "Unemployment       -0.285461\n",
      "Professional        0.225126\n",
      "Name: Employed, dtype: float64 \n",
      "\n",
      "\n",
      "PrivateWork \n",
      " PrivateWork     1.000000\n",
      "PublicWork     -0.870184\n",
      "SelfEmployed   -0.431299\n",
      "Native         -0.223066\n",
      "Production      0.206899\n",
      "WorkAtHome     -0.153506\n",
      "Professional   -0.147167\n",
      "FamilyWork     -0.115958\n",
      "Office          0.109887\n",
      "Employed        0.103511\n",
      "Name: PrivateWork, dtype: float64 \n",
      "\n",
      "\n",
      "PublicWork \n",
      " PublicWork         1.000000\n",
      "PrivateWork       -0.870184\n",
      "Native             0.242971\n",
      "Production        -0.168447\n",
      "Professional       0.111449\n",
      "Hispanic          -0.090143\n",
      "Black              0.087619\n",
      "IncomePerCapErr   -0.080403\n",
      "Unemployment       0.077918\n",
      "IncomePerCap      -0.071715\n",
      "Name: PublicWork, dtype: float64 \n",
      "\n",
      "\n",
      "SelfEmployed \n",
      " SelfEmployed       1.000000\n",
      "PrivateWork       -0.431299\n",
      "WorkAtHome         0.357825\n",
      "Black             -0.227125\n",
      "IncomePerCapErr    0.168730\n",
      "IncomePerCap       0.164517\n",
      "Construction       0.156219\n",
      "Office            -0.141351\n",
      "FamilyWork         0.118400\n",
      "White              0.116416\n",
      "Name: SelfEmployed, dtype: float64 \n",
      "\n",
      "\n",
      "FamilyWork \n",
      " FamilyWork      1.000000\n",
      "SelfEmployed    0.118400\n",
      "PrivateWork    -0.115958\n",
      "WorkAtHome      0.113130\n",
      "Construction    0.065172\n",
      "White           0.062074\n",
      "Black          -0.049570\n",
      "Transit        -0.044993\n",
      "Employed       -0.039067\n",
      "Unemployment   -0.032418\n",
      "Name: FamilyWork, dtype: float64 \n",
      "\n",
      "\n",
      "Unemployment \n",
      " Unemployment    1.000000\n",
      "Poverty         0.624511\n",
      "ChildPoverty    0.571658\n",
      "White          -0.462297\n",
      "Income         -0.456797\n",
      "Black           0.447305\n",
      "Service         0.438866\n",
      "IncomePerCap   -0.432920\n",
      "Professional   -0.412904\n",
      "Employed       -0.285461\n",
      "Name: Unemployment, dtype: float64 \n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for col in df.columns:\n",
    "    try:\n",
    "        corrs = df.corr()\n",
    "        corrs['AbsoluteCorrelation'] = abs(corrs[col])\n",
    "        print(col, \"\\n\", corrs.sort_values(by='AbsoluteCorrelation', ascending=False).head(10)[col], \"\\n\\n\")\n",
    "    except:\n",
    "        continue"
   ]
  }
 ],
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