4.Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "hispanic-culture",
   "metadata": {},
   "source": [
    "# ReadData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "limiting-heritage",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "T2path = 'StataReg/0419-base/T2.csv'\n",
    "T2 = pd.read_csv(T2path)\n",
    "T3_Whole = T2[T2['Selected'] == 1]\n",
    "T3path = 'StataReg/0419-base/Data.dta'\n",
    "T3 = pd.read_stata(T3path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "color-checkout",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "170647384"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T3_Whole['WholeNum'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "czech-expression",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1186"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(T2['NotInHighMobility'] == 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "indie-doubt",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    1174\n",
       "True       12\n",
       "Name: NotInHighMobility, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(T2['NotInHighMobility'] == 0).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "latin-craps",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Alameda, California',\n",
       " 'Los Angeles, California',\n",
       " 'San Francisco, California',\n",
       " 'Santa Clara, California',\n",
       " 'Hudson, New Jersey',\n",
       " 'Bronx, New York',\n",
       " 'Kings, New York',\n",
       " 'New York, New York',\n",
       " 'Queens, New York',\n",
       " 'Richmond, New York',\n",
       " 'Greenville, South Carolina',\n",
       " 'Williamson, Texas']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T2[T2['NotInHighMobility'] == 0]['Geographic Area Name'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "wound-disposal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Alameda, California',\n",
       " 'Los Angeles, California',\n",
       " 'San Francisco, California',\n",
       " 'Santa Clara, California',\n",
       " 'Hudson, New Jersey',\n",
       " 'Bronx, New York',\n",
       " 'Kings, New York',\n",
       " 'New York, New York',\n",
       " 'Queens, New York',\n",
       " 'Richmond, New York',\n",
       " 'Greenville, South Carolina',\n",
       " 'Williamson, Texas']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T3_Whole[T3_Whole['NotInHighMobility'] == 0]['Geographic Area Name'].to_list()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "korean-notice",
   "metadata": {},
   "source": [
    "# MissingNo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "nearby-possession",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import missingno as misno\n",
    "\n",
    "misno.matrix(T2[T3.columns[1:-5]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "stretch-miracle",
   "metadata": {},
   "source": [
    "# Correlation Matrix Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "federal-sender",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['CvdVax_DisparityY', 'FluVax_DisparityY', 'MedianInc_WholeAvg',\n",
       "       'MedianInc_Disparity', 'HighSchool_WholeRate', 'HighSchool_Disparity',\n",
       "       'FacNumRate', 'CaseRate', 'IT_WholeRate', 'IT_Disparity', 'urban',\n",
       "       'vehicle', 'republican_rate', 'Segregation', 'racial_weighted_bias',\n",
       "       'hesitancy', 'Black_Prop', 'FluVax_WholeRate', 'FluVax_Disparity',\n",
       "       'Above75_WholeRate', 'Above75_Disparity', 'A15T74_WholeRate',\n",
       "       'A15T74_Disparity'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "XY_cols = T3.columns[3:-5]\n",
    "XY_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cardiac-catalyst",
   "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>CvdVax_DisparityY</th>\n",
       "      <th>FluVax_DisparityY</th>\n",
       "      <th>MedianInc_WholeAvg</th>\n",
       "      <th>MedianInc_Disparity</th>\n",
       "      <th>HighSchool_WholeRate</th>\n",
       "      <th>HighSchool_Disparity</th>\n",
       "      <th>FacNumRate</th>\n",
       "      <th>CaseRate</th>\n",
       "      <th>IT_WholeRate</th>\n",
       "      <th>IT_Disparity</th>\n",
       "      <th>...</th>\n",
       "      <th>Segregation</th>\n",
       "      <th>racial_weighted_bias</th>\n",
       "      <th>hesitancy</th>\n",
       "      <th>Black_Prop</th>\n",
       "      <th>FluVax_WholeRate</th>\n",
       "      <th>FluVax_Disparity</th>\n",
       "      <th>Above75_WholeRate</th>\n",
       "      <th>Above75_Disparity</th>\n",
       "      <th>A15T74_WholeRate</th>\n",
       "      <th>A15T74_Disparity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.768796</td>\n",
       "      <td>24.0</td>\n",
       "      <td>99.406</td>\n",
       "      <td>62.678</td>\n",
       "      <td>88.4</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.017292</td>\n",
       "      <td>5.114553</td>\n",
       "      <td>91.4</td>\n",
       "      <td>10.7</td>\n",
       "      <td>...</td>\n",
       "      <td>49.890444</td>\n",
       "      <td>33.258827</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.031221</td>\n",
       "      <td>47.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>5.863537</td>\n",
       "      <td>2.523464</td>\n",
       "      <td>77.100140</td>\n",
       "      <td>1.109113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13.494706</td>\n",
       "      <td>13.0</td>\n",
       "      <td>52.537</td>\n",
       "      <td>24.189</td>\n",
       "      <td>89.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.017793</td>\n",
       "      <td>5.288203</td>\n",
       "      <td>89.1</td>\n",
       "      <td>6.4</td>\n",
       "      <td>...</td>\n",
       "      <td>62.099507</td>\n",
       "      <td>36.520664</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.897019</td>\n",
       "      <td>40.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>7.511885</td>\n",
       "      <td>5.401255</td>\n",
       "      <td>75.659942</td>\n",
       "      <td>-0.084675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15.707145</td>\n",
       "      <td>13.0</td>\n",
       "      <td>59.401</td>\n",
       "      <td>39.137</td>\n",
       "      <td>71.3</td>\n",
       "      <td>18.7</td>\n",
       "      <td>0.018564</td>\n",
       "      <td>10.205597</td>\n",
       "      <td>86.5</td>\n",
       "      <td>-0.6</td>\n",
       "      <td>...</td>\n",
       "      <td>19.219010</td>\n",
       "      <td>37.223305</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.308767</td>\n",
       "      <td>46.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>6.367476</td>\n",
       "      <td>5.475884</td>\n",
       "      <td>71.225693</td>\n",
       "      <td>-2.698686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17.678572</td>\n",
       "      <td>27.0</td>\n",
       "      <td>99.716</td>\n",
       "      <td>44.922</td>\n",
       "      <td>89.5</td>\n",
       "      <td>4.9</td>\n",
       "      <td>0.014044</td>\n",
       "      <td>5.817034</td>\n",
       "      <td>93.8</td>\n",
       "      <td>6.2</td>\n",
       "      <td>...</td>\n",
       "      <td>52.702580</td>\n",
       "      <td>37.082206</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.541527</td>\n",
       "      <td>48.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6.757628</td>\n",
       "      <td>5.090720</td>\n",
       "      <td>74.888299</td>\n",
       "      <td>-0.549194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23.012579</td>\n",
       "      <td>37.0</td>\n",
       "      <td>45.283</td>\n",
       "      <td>-57.687</td>\n",
       "      <td>80.1</td>\n",
       "      <td>21.5</td>\n",
       "      <td>0.028765</td>\n",
       "      <td>4.631094</td>\n",
       "      <td>84.0</td>\n",
       "      <td>-12.6</td>\n",
       "      <td>...</td>\n",
       "      <td>35.769303</td>\n",
       "      <td>36.879187</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.523659</td>\n",
       "      <td>36.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>7.201927</td>\n",
       "      <td>8.877480</td>\n",
       "      <td>75.273263</td>\n",
       "      <td>-16.931245</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>751</th>\n",
       "      <td>20.113383</td>\n",
       "      <td>16.0</td>\n",
       "      <td>53.986</td>\n",
       "      <td>-0.735</td>\n",
       "      <td>93.7</td>\n",
       "      <td>15.1</td>\n",
       "      <td>0.041715</td>\n",
       "      <td>10.801854</td>\n",
       "      <td>83.3</td>\n",
       "      <td>-6.2</td>\n",
       "      <td>...</td>\n",
       "      <td>73.099649</td>\n",
       "      <td>36.775647</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.253766</td>\n",
       "      <td>49.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>7.703360</td>\n",
       "      <td>6.711699</td>\n",
       "      <td>76.111240</td>\n",
       "      <td>1.784838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>752</th>\n",
       "      <td>23.430382</td>\n",
       "      <td>23.0</td>\n",
       "      <td>60.652</td>\n",
       "      <td>26.775</td>\n",
       "      <td>90.8</td>\n",
       "      <td>12.3</td>\n",
       "      <td>0.013661</td>\n",
       "      <td>14.317103</td>\n",
       "      <td>87.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>...</td>\n",
       "      <td>65.224838</td>\n",
       "      <td>35.934490</td>\n",
       "      <td>17.0</td>\n",
       "      <td>3.345894</td>\n",
       "      <td>54.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.948633</td>\n",
       "      <td>8.302437</td>\n",
       "      <td>76.294129</td>\n",
       "      <td>-15.252515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>26.019744</td>\n",
       "      <td>28.0</td>\n",
       "      <td>73.893</td>\n",
       "      <td>42.958</td>\n",
       "      <td>95.8</td>\n",
       "      <td>8.4</td>\n",
       "      <td>0.016645</td>\n",
       "      <td>8.236402</td>\n",
       "      <td>91.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>...</td>\n",
       "      <td>49.608129</td>\n",
       "      <td>35.577848</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.531969</td>\n",
       "      <td>65.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>5.469412</td>\n",
       "      <td>5.010461</td>\n",
       "      <td>77.705119</td>\n",
       "      <td>5.934231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>26.188287</td>\n",
       "      <td>24.0</td>\n",
       "      <td>62.340</td>\n",
       "      <td>40.201</td>\n",
       "      <td>92.1</td>\n",
       "      <td>12.5</td>\n",
       "      <td>0.018145</td>\n",
       "      <td>13.017971</td>\n",
       "      <td>89.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>...</td>\n",
       "      <td>58.983900</td>\n",
       "      <td>37.440183</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.976465</td>\n",
       "      <td>55.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.231525</td>\n",
       "      <td>6.670180</td>\n",
       "      <td>74.264200</td>\n",
       "      <td>6.713001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>755</th>\n",
       "      <td>16.316005</td>\n",
       "      <td>3.0</td>\n",
       "      <td>52.703</td>\n",
       "      <td>26.109</td>\n",
       "      <td>90.2</td>\n",
       "      <td>40.8</td>\n",
       "      <td>0.033154</td>\n",
       "      <td>12.839272</td>\n",
       "      <td>80.3</td>\n",
       "      <td>43.6</td>\n",
       "      <td>...</td>\n",
       "      <td>83.066207</td>\n",
       "      <td>38.887880</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.571479</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.800195</td>\n",
       "      <td>8.104636</td>\n",
       "      <td>72.502431</td>\n",
       "      <td>2.498370</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>756 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     CvdVax_DisparityY  FluVax_DisparityY  MedianInc_WholeAvg  \\\n",
       "0            16.768796               24.0              99.406   \n",
       "1            13.494706               13.0              52.537   \n",
       "2            15.707145               13.0              59.401   \n",
       "3            17.678572               27.0              99.716   \n",
       "4            23.012579               37.0              45.283   \n",
       "..                 ...                ...                 ...   \n",
       "751          20.113383               16.0              53.986   \n",
       "752          23.430382               23.0              60.652   \n",
       "753          26.019744               28.0              73.893   \n",
       "754          26.188287               24.0              62.340   \n",
       "755          16.316005                3.0              52.703   \n",
       "\n",
       "     MedianInc_Disparity  HighSchool_WholeRate  HighSchool_Disparity  \\\n",
       "0                 62.678                  88.4                   5.7   \n",
       "1                 24.189                  89.2                   0.7   \n",
       "2                 39.137                  71.3                  18.7   \n",
       "3                 44.922                  89.5                   4.9   \n",
       "4                -57.687                  80.1                  21.5   \n",
       "..                   ...                   ...                   ...   \n",
       "751               -0.735                  93.7                  15.1   \n",
       "752               26.775                  90.8                  12.3   \n",
       "753               42.958                  95.8                   8.4   \n",
       "754               40.201                  92.1                  12.5   \n",
       "755               26.109                  90.2                  40.8   \n",
       "\n",
       "     FacNumRate   CaseRate  IT_WholeRate  IT_Disparity  ...  Segregation  \\\n",
       "0      0.017292   5.114553          91.4          10.7  ...    49.890444   \n",
       "1      0.017793   5.288203          89.1           6.4  ...    62.099507   \n",
       "2      0.018564  10.205597          86.5          -0.6  ...    19.219010   \n",
       "3      0.014044   5.817034          93.8           6.2  ...    52.702580   \n",
       "4      0.028765   4.631094          84.0         -12.6  ...    35.769303   \n",
       "..          ...        ...           ...           ...  ...          ...   \n",
       "751    0.041715  10.801854          83.3          -6.2  ...    73.099649   \n",
       "752    0.013661  14.317103          87.6           0.2  ...    65.224838   \n",
       "753    0.016645   8.236402          91.4           9.0  ...    49.608129   \n",
       "754    0.018145  13.017971          89.8           6.1  ...    58.983900   \n",
       "755    0.033154  12.839272          80.3          43.6  ...    83.066207   \n",
       "\n",
       "     racial_weighted_bias  hesitancy  Black_Prop  FluVax_WholeRate  \\\n",
       "0               33.258827        9.0   11.031221              47.0   \n",
       "1               36.520664       13.0    1.897019              40.0   \n",
       "2               37.223305       14.0    1.308767              46.0   \n",
       "3               37.082206        9.0    9.541527              48.0   \n",
       "4               36.879187       15.0    3.523659              36.0   \n",
       "..                    ...        ...         ...               ...   \n",
       "751             36.775647       17.0    1.253766              49.0   \n",
       "752             35.934490       17.0    3.345894              54.0   \n",
       "753             35.577848       14.0    5.531969              65.0   \n",
       "754             37.440183       17.0    2.976465              55.0   \n",
       "755             38.887880       18.0    1.571479              45.0   \n",
       "\n",
       "     FluVax_Disparity  Above75_WholeRate  Above75_Disparity  A15T74_WholeRate  \\\n",
       "0                24.0           5.863537           2.523464         77.100140   \n",
       "1                13.0           7.511885           5.401255         75.659942   \n",
       "2                13.0           6.367476           5.475884         71.225693   \n",
       "3                27.0           6.757628           5.090720         74.888299   \n",
       "4                37.0           7.201927           8.877480         75.273263   \n",
       "..                ...                ...                ...               ...   \n",
       "751              16.0           7.703360           6.711699         76.111240   \n",
       "752              23.0           7.948633           8.302437         76.294129   \n",
       "753              28.0           5.469412           5.010461         77.705119   \n",
       "754              24.0           6.231525           6.670180         74.264200   \n",
       "755               3.0           9.800195           8.104636         72.502431   \n",
       "\n",
       "     A15T74_Disparity  \n",
       "0            1.109113  \n",
       "1           -0.084675  \n",
       "2           -2.698686  \n",
       "3           -0.549194  \n",
       "4          -16.931245  \n",
       "..                ...  \n",
       "751          1.784838  \n",
       "752        -15.252515  \n",
       "753          5.934231  \n",
       "754          6.713001  \n",
       "755          2.498370  \n",
       "\n",
       "[756 rows x 23 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newdf = T3[XY_cols]\n",
    "newdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "auburn-source",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "# Compute the correlation matrix\n",
    "corr = newdf.corr()\n",
    "\n",
    "# Generate a mask for the upper triangle\n",
    "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "f, ax = plt.subplots(figsize=(11, 9))\n",
    "\n",
    "# Generate a custom diverging colormap\n",
    "cmap = sns.diverging_palette(230, 20, as_cmap=True)\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "later-forest",
   "metadata": {},
   "source": [
    "# Republican Rate and CvdVax "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "labeled-printer",
   "metadata": {},
   "outputs": [],
   "source": [
    "T3_Whote.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "distant-regard",
   "metadata": {},
   "outputs": [],
   "source": [
    "T3_Whole_repub = T3_Whote[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "novel-origin",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Republican Rate and Black COVID-19 Vax Rate')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "sns.set_theme(style=\"white\")\n",
    "\n",
    "dims = (10, 6)\n",
    "# df = mylib.load_data()\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "\n",
    "\n",
    "ax = sns.scatterplot(x='republican_rate', y='CvdVax_MWhiteRate', data = T3_Whole, size='WholeNum', sizes = (30, 300))\n",
    "# ax = sns.regplot(x=OrgDF['republican_rate'], y=OrgDF['Vax_White'])\n",
    "\n",
    "ax.set_title('Republican Rate and White COVID-19 Vax Rate')\n",
    "\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "ax = sns.scatterplot(x='republican_rate', y='CvdVax_MBlackRate', data = T3_Whole, size='WholeNum', sizes = (30, 300))\n",
    "# ax = sns.regplot(x=OrgDF['republican_rate'], y=OrgDF['Vax_Black'])\n",
    "ax.set_title('Republican Rate and Black COVID-19 Vax Rate')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "increasing-celebrity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Republican Rate and Black Flu Vax Rate')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "ax = sns.scatterplot(x='republican_rate', y='FluVax_NHWhiteRate', data = T3_Whole, size='WholeNum', sizes = (30, 300))\n",
    "# ax = sns.regplot(x=OrgDF['republican_rate'], y=OrgDF['FluVax_White'], )\n",
    "ax.set_title('Republican Rate and White Flu Vax Rate')\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "ax = sns.scatterplot(x='republican_rate', y='FluVax_BlackRate', data = T3_Whole, size='WholeNum', sizes = (30, 300))\n",
    "# ax = sns.regplot(x=OrgDF['republican_rate'], y=OrgDF['FluVax_Black'])\n",
    "ax.set_title('Republican Rate and Black Flu Vax Rate')\n",
    "# ax = sns.regplot(x=OrgDF['Vax_Black'], y=OrgDF['republican_rate'], color=\"g\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "signal-vector",
   "metadata": {},
   "source": [
    "# Covid Bar Chart (Weighted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "exterior-robinson",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 247)\n",
      "756.0\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "T2path = 'StataReg/0419-base/T2.csv'\n",
    "T2 = pd.read_csv(T2path)\n",
    "T3_Whole = T2[T2['Selected'] == 1].reset_index(drop = True)\n",
    "T3path = 'StataReg/0419-base/Data.dta'\n",
    "T3 = pd.read_stata(T3path)\n",
    "\n",
    "print(T3_Whole.shape)\n",
    "\n",
    "T3_Whole['Prop_Weights'] = T3_Whole['WholeNum'] / T3_Whole['WholeNum'].sum() * len(T3_Whole)\n",
    "print(T3_Whole['Prop_Weights'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "spanish-clause",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 248)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vaccination</th>\n",
       "      <th>Race</th>\n",
       "      <th>VaxRate</th>\n",
       "      <th>Prop_Weights</th>\n",
       "      <th>Republican</th>\n",
       "      <th>Vaccination Rate (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>27.087876</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>0</td>\n",
       "      <td>200.566807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>43.856672</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>0</td>\n",
       "      <td>324.728032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>14.117169</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>0</td>\n",
       "      <td>13.708268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>27.611875</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>0</td>\n",
       "      <td>26.812103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>11.702987</td>\n",
       "      <td>0.095457</td>\n",
       "      <td>0</td>\n",
       "      <td>1.117135</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>50.577493</td>\n",
       "      <td>2.421962</td>\n",
       "      <td>0</td>\n",
       "      <td>122.496749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>14.808230</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>0</td>\n",
       "      <td>17.354813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>40.996517</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>0</td>\n",
       "      <td>48.046721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>15.471167</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>0</td>\n",
       "      <td>3.101032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>31.787173</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>0</td>\n",
       "      <td>6.371403</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1512 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vaccination   Race    VaxRate  Prop_Weights  Republican  \\\n",
       "0       COVID-19  Black  27.087876      7.404302           0   \n",
       "1       COVID-19  White  43.856672      7.404302           0   \n",
       "2       COVID-19  Black  14.117169      0.971035           0   \n",
       "3       COVID-19  White  27.611875      0.971035           0   \n",
       "4       COVID-19  Black  11.702987      0.095457           0   \n",
       "...          ...    ...        ...           ...         ...   \n",
       "1507    COVID-19  White  50.577493      2.421962           0   \n",
       "1508    COVID-19  Black  14.808230      1.171971           0   \n",
       "1509    COVID-19  White  40.996517      1.171971           0   \n",
       "1510    COVID-19  Black  15.471167      0.200439           0   \n",
       "1511    COVID-19  White  31.787173      0.200439           0   \n",
       "\n",
       "      Vaccination Rate (%)  \n",
       "0               200.566807  \n",
       "1               324.728032  \n",
       "2                13.708268  \n",
       "3                26.812103  \n",
       "4                 1.117135  \n",
       "...                    ...  \n",
       "1507            122.496749  \n",
       "1508             17.354813  \n",
       "1509             48.046721  \n",
       "1510              3.101032  \n",
       "1511              6.371403  \n",
       "\n",
       "[1512 rows x 6 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "RawData = T3_Whole\n",
    "print(RawData.shape)\n",
    "\n",
    "L = []\n",
    "\n",
    "for idx, row in RawData.iterrows():\n",
    "    d = row.to_dict()\n",
    "    dn = {}\n",
    "    dn['Vaccination'] = 'COVID-19'\n",
    "    dn['Race'] = 'Black'\n",
    "    dn['VaxRate'] = d['CvdVax_MBlackRate'] # * d['Prop_Weights']\n",
    "    dn['Prop_Weights'] = d['Prop_Weights']\n",
    "    dn['Republican'] = d['republican']\n",
    "    dn['Vaccination Rate (%)'] = d['CvdVax_MBlackRate'] * d['Prop_Weights']\n",
    "    L.append(dn)\n",
    "                    \n",
    "                    \n",
    "    dn = {}\n",
    "    dn['Vaccination'] = 'COVID-19'\n",
    "    dn['Race'] = 'White'\n",
    "    dn['VaxRate'] = d['CvdVax_MWhiteRate'] # * d['Prop_Weights']\n",
    "    dn['Prop_Weights'] = d['Prop_Weights']\n",
    "    dn['Republican'] = d['republican']\n",
    "    dn['Vaccination Rate (%)'] = d['CvdVax_MWhiteRate']* d['Prop_Weights']\n",
    "    L.append(dn)\n",
    "                    \n",
    "    \n",
    "newdf = pd.DataFrame(L)\n",
    "# print(newdf.shape)\n",
    "newdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "plain-agriculture",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19.9025283725099 6.114019352435313\n",
      "35.944926342136085 11.061767478027443\n",
      "16.042397969626187\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'Black']\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print(average,std)\n",
    "\n",
    "\n",
    "black_w_average = average\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White']\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print(average,std)\n",
    "\n",
    "white_w_average = average\n",
    "\n",
    "print(white_w_average - black_w_average)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "composed-lucas",
   "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>Vaccination</th>\n",
       "      <th>Race</th>\n",
       "      <th>VaxRate</th>\n",
       "      <th>Prop_Weights</th>\n",
       "      <th>Republican</th>\n",
       "      <th>Vaccination Rate (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>27.087876</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>0</td>\n",
       "      <td>200.566807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>43.856672</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>0</td>\n",
       "      <td>324.728032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>14.117169</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>0</td>\n",
       "      <td>13.708268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>27.611875</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>0</td>\n",
       "      <td>26.812103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>11.702987</td>\n",
       "      <td>0.095457</td>\n",
       "      <td>0</td>\n",
       "      <td>1.117135</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>50.577493</td>\n",
       "      <td>2.421962</td>\n",
       "      <td>0</td>\n",
       "      <td>122.496749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>14.808230</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>0</td>\n",
       "      <td>17.354813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>40.996517</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>0</td>\n",
       "      <td>48.046721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>15.471167</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>0</td>\n",
       "      <td>3.101032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>31.787173</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>0</td>\n",
       "      <td>6.371403</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1512 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vaccination   Race    VaxRate  Prop_Weights  Republican  \\\n",
       "0       COVID-19  Black  27.087876      7.404302           0   \n",
       "1       COVID-19  White  43.856672      7.404302           0   \n",
       "2       COVID-19  Black  14.117169      0.971035           0   \n",
       "3       COVID-19  White  27.611875      0.971035           0   \n",
       "4       COVID-19  Black  11.702987      0.095457           0   \n",
       "...          ...    ...        ...           ...         ...   \n",
       "1507    COVID-19  White  50.577493      2.421962           0   \n",
       "1508    COVID-19  Black  14.808230      1.171971           0   \n",
       "1509    COVID-19  White  40.996517      1.171971           0   \n",
       "1510    COVID-19  Black  15.471167      0.200439           0   \n",
       "1511    COVID-19  White  31.787173      0.200439           0   \n",
       "\n",
       "      Vaccination Rate (%)  \n",
       "0               200.566807  \n",
       "1               324.728032  \n",
       "2                13.708268  \n",
       "3                26.812103  \n",
       "4                 1.117135  \n",
       "...                    ...  \n",
       "1507            122.496749  \n",
       "1508             17.354813  \n",
       "1509             48.046721  \n",
       "1510              3.101032  \n",
       "1511              6.371403  \n",
       "\n",
       "[1512 rows x 6 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "indie-soundtrack",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Republican\n",
      "Black (w-mean, w-std): 20.845182998638897 6.229053728672513\n",
      "White (w-mean, w-std): 35.18775357854754 9.990283341184034\n",
      "Diff: 14.342570579908646\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "\n",
    "print('Republican')\n",
    "df = newdf[newdf['Race'] == 'Black']\n",
    "df = df[df['Republican'] == 1]\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('Black (w-mean, w-std):', average, std)\n",
    "\n",
    "\n",
    "black_w_average = average\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White']\n",
    "df = df[df['Republican'] == 1]\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('White (w-mean, w-std):', average,std)\n",
    "\n",
    "white_w_average = average\n",
    "\n",
    "print('Diff:', white_w_average - black_w_average)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "portable-filename",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Democrat\n",
      "Black (w-mean, w-std): 19.34130076982447 5.974266553937727\n",
      "White (w-mean, w-std): 36.3957237425292 11.629611261003427\n",
      "Diff: 17.054422972704728\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "print('Democrat')\n",
    "df = newdf[newdf['Race'] == 'Black']\n",
    "df = df[df['Republican'] == 0]\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('Black (w-mean, w-std):', average, std)\n",
    "\n",
    "black_w_average = average\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White']\n",
    "df = df[df['Republican'] == 0]\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('White (w-mean, w-std):', average,std)\n",
    "\n",
    "white_w_average = average\n",
    "\n",
    "print('Diff:', white_w_average - black_w_average)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "subtle-anniversary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# sns.set_theme(style=\"ticks\")\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.set(font_scale=1.4)\n",
    "\n",
    "\n",
    "def change_width(ax, new_value) :\n",
    "    for patch in ax.patches :\n",
    "        current_width = patch.get_width()\n",
    "        diff = current_width - new_value\n",
    "\n",
    "        # we change the bar width\n",
    "        patch.set_width(new_value)\n",
    "\n",
    "        # we recenter the bar\n",
    "        patch.set_x(patch.get_x() + diff * .5)\n",
    "\n",
    "            \n",
    "dims = (10, 6)\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "ax.set(ylim=(0, 65))\n",
    "\n",
    "\n",
    "ax = sns.barplot(x=\"Race\" , y=\"Vaccination Rate (%)\", #estimator=sum, \n",
    "                 palette = ['grey', 'red'], alpha = 0.5,\n",
    "                 data=newdf, errwidth = 2, errcolor = 'black', capsize=.4)\n",
    "\n",
    "\n",
    "change_width(ax, 0.6)\n",
    "\n",
    "\n",
    "\n",
    "county_num = len(RawData)\n",
    "date = '2021-04-19'\n",
    "\n",
    "\n",
    "\n",
    "ax.set_ylabel(\"Weighted Vaccination Rate (%)\")\n",
    "ax.set_title('COVID-19 Vaccination Rate ({} Counties, {})'.format(county_num, date))\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "vulnerable-christian",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('bar-covid.pdf', dpi=5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "informational-screening",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "April 19\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CvdVax_Disparity</th>\n",
       "      <th>CvdVax_MBlackRate</th>\n",
       "      <th>CvdVax_MWhiteRate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>12.118775</td>\n",
       "      <td>19.712736</td>\n",
       "      <td>31.831511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.354706</td>\n",
       "      <td>7.268635</td>\n",
       "      <td>11.929706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-18.168016</td>\n",
       "      <td>2.480271</td>\n",
       "      <td>5.379974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.921826</td>\n",
       "      <td>14.952055</td>\n",
       "      <td>23.605326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10.451356</td>\n",
       "      <td>19.077462</td>\n",
       "      <td>29.041354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>17.756555</td>\n",
       "      <td>23.417363</td>\n",
       "      <td>37.541453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>53.842225</td>\n",
       "      <td>58.707865</td>\n",
       "      <td>76.501062</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       CvdVax_Disparity  CvdVax_MBlackRate  CvdVax_MWhiteRate\n",
       "count        756.000000         756.000000         756.000000\n",
       "mean          12.118775          19.712736          31.831511\n",
       "std           10.354706           7.268635          11.929706\n",
       "min          -18.168016           2.480271           5.379974\n",
       "25%            4.921826          14.952055          23.605326\n",
       "50%           10.451356          19.077462          29.041354\n",
       "75%           17.756555          23.417363          37.541453\n",
       "max           53.842225          58.707865          76.501062"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "print('April 19')\n",
    "Rate = RawData[[ 'CvdVax_Disparity', 'CvdVax_MBlackRate', 'CvdVax_MWhiteRate',]].describe()\n",
    "Rate.to_clipboard()\n",
    "Rate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dying-freeze",
   "metadata": {},
   "source": [
    "# Covid Bar Chart (Original)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "regional-munich",
   "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>Vaccination</th>\n",
       "      <th>Race</th>\n",
       "      <th>VaxRate</th>\n",
       "      <th>Prop_Weights</th>\n",
       "      <th>Vaccination Rate (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>27.087876</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>200.566807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>43.856672</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>324.728032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>14.117169</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>13.708268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>27.611875</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>26.812103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>11.702987</td>\n",
       "      <td>0.095457</td>\n",
       "      <td>1.117135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>50.577493</td>\n",
       "      <td>2.421962</td>\n",
       "      <td>122.496749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>14.808230</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>17.354813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>40.996517</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>48.046721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>Black</td>\n",
       "      <td>15.471167</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>3.101032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>White</td>\n",
       "      <td>31.787173</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>6.371403</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1512 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vaccination   Race    VaxRate  Prop_Weights  Vaccination Rate (%)\n",
       "0       COVID-19  Black  27.087876      7.404302            200.566807\n",
       "1       COVID-19  White  43.856672      7.404302            324.728032\n",
       "2       COVID-19  Black  14.117169      0.971035             13.708268\n",
       "3       COVID-19  White  27.611875      0.971035             26.812103\n",
       "4       COVID-19  Black  11.702987      0.095457              1.117135\n",
       "...          ...    ...        ...           ...                   ...\n",
       "1507    COVID-19  White  50.577493      2.421962            122.496749\n",
       "1508    COVID-19  Black  14.808230      1.171971             17.354813\n",
       "1509    COVID-19  White  40.996517      1.171971             48.046721\n",
       "1510    COVID-19  Black  15.471167      0.200439              3.101032\n",
       "1511    COVID-19  White  31.787173      0.200439              6.371403\n",
       "\n",
       "[1512 rows x 5 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "precise-interaction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn\n",
    "\n",
    "\n",
    "def change_width(ax, new_value) :\n",
    "    for patch in ax.patches :\n",
    "        current_width = patch.get_width()\n",
    "        diff = current_width - new_value\n",
    "\n",
    "        # we change the bar width\n",
    "        patch.set_width(new_value)\n",
    "\n",
    "        # we recenter the bar\n",
    "        patch.set_x(patch.get_x() + diff * .5)\n",
    "\n",
    "            \n",
    "# import mylib\n",
    "\n",
    "\n",
    "time = '2021-04-19'\n",
    "dims = (10, 6)\n",
    "# df = mylib.load_data()\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "# seaborn.violinplot(ax=ax, data=df, **violin_options)\n",
    "ax.set(ylim=(0, 65))\n",
    "\n",
    "\n",
    "\n",
    "# df.to_csv('759_rate.csv')\n",
    "ax = sns.barplot(x=\"Race\" , y=\"VaxRate\", palette = ['grey', 'red'], alpha = 0.5,\n",
    "                 data=newdf, errwidth = 2, errcolor = 'black', capsize=.3)\n",
    "\n",
    "change_width(ax, 0.5)\n",
    "\n",
    "ax.set_title('COVID-19 Vaccination Rate ({} Counties, {})'.format(county_num, time))\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "worth-episode",
   "metadata": {},
   "source": [
    "# Covid Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "judicial-coffee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 248)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/floydluo/opt/miniconda3/envs/ox/lib/python3.9/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/floydluo/opt/miniconda3/envs/ox/lib/python3.9/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[(0.0, 0.155)]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot#  as plt\n",
    " \n",
    "    \n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.set(font_scale=1.4)\n",
    "\n",
    "RawData = T3_Whole\n",
    "print(RawData.shape)\n",
    "\n",
    "\n",
    "dims = (10, 6)\n",
    "# df = mylib.load_data()\n",
    "fig, ax = pyplot.subplots(figsize=dims)\n",
    "\n",
    "ax = sns.distplot(RawData['CvdVax_MBlackRate'], hist=True, kde=True, \n",
    "            bins=int(100), color = 'grey',\n",
    "            kde_kws={'linewidth': 1}, label='Black')\n",
    "\n",
    "ax = sns.distplot(RawData['CvdVax_MWhiteRate'], hist=True, kde=True,\n",
    "            bins=int(100), color = 'red',\n",
    "            kde_kws={'linewidth': 1}, label='White')\n",
    "\n",
    "pyplot.legend(loc='best')\n",
    "counties_num = len(RawData)\n",
    "ax.set_title('COVID-19 Vaccination Rate Distribution ({} Counties, {})'.format(county_num, date))\n",
    "ax.set(xlabel='COVID-19 Vaccination Rate (%)')\n",
    "ax.set(ylabel ='Density')\n",
    "ax.set(xlim=(0, 100))\n",
    "ax.set(ylim=(0, 0.155))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "surrounded-measure",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('dist-covid.pdf', dpi=5000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "available-bulgaria",
   "metadata": {},
   "source": [
    "# Flu Bar Chart (Weighted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "activated-factory",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 247)\n",
      "756.0\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "T2path = 'StataReg/0419-base/T2.csv'\n",
    "T2 = pd.read_csv(T2path)\n",
    "T3_Whole = T2[T2['Selected'] == 1].reset_index(drop = True)\n",
    "T3path = 'StataReg/0419-base/Data.dta'\n",
    "T3 = pd.read_stata(T3path)\n",
    "\n",
    "print(T3_Whole.shape)\n",
    "\n",
    "T3_Whole['Prop_Weights'] = T3_Whole['WholeNum'] / T3_Whole['WholeNum'].sum() * len(T3_Whole)\n",
    "print(T3_Whole['Prop_Weights'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "multiple-channel",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 248)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Vaccination</th>\n",
       "      <th>Race</th>\n",
       "      <th>VaxRate</th>\n",
       "      <th>Prop_Weights</th>\n",
       "      <th>Vaccination Rate (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Flu</td>\n",
       "      <td>Black</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>207.320449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Flu</td>\n",
       "      <td>White</td>\n",
       "      <td>52.0</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>385.023691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flu</td>\n",
       "      <td>Black</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>26.217950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Flu</td>\n",
       "      <td>White</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>38.841408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Flu</td>\n",
       "      <td>Black</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.095457</td>\n",
       "      <td>3.150090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>Flu</td>\n",
       "      <td>White</td>\n",
       "      <td>67.0</td>\n",
       "      <td>2.421962</td>\n",
       "      <td>162.271431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>Flu</td>\n",
       "      <td>Black</td>\n",
       "      <td>32.0</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>37.503066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>Flu</td>\n",
       "      <td>White</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>65.630365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>Flu</td>\n",
       "      <td>Black</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>8.418456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>Flu</td>\n",
       "      <td>White</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>9.019774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1512 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Vaccination   Race  VaxRate  Prop_Weights  Vaccination Rate (%)\n",
       "0            Flu  Black     28.0      7.404302            207.320449\n",
       "1            Flu  White     52.0      7.404302            385.023691\n",
       "2            Flu  Black     27.0      0.971035             26.217950\n",
       "3            Flu  White     40.0      0.971035             38.841408\n",
       "4            Flu  Black     33.0      0.095457              3.150090\n",
       "...          ...    ...      ...           ...                   ...\n",
       "1507         Flu  White     67.0      2.421962            162.271431\n",
       "1508         Flu  Black     32.0      1.171971             37.503066\n",
       "1509         Flu  White     56.0      1.171971             65.630365\n",
       "1510         Flu  Black     42.0      0.200439              8.418456\n",
       "1511         Flu  White     45.0      0.200439              9.019774\n",
       "\n",
       "[1512 rows x 5 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "RawData = T3_Whole\n",
    "print(RawData.shape)\n",
    "\n",
    "L = []\n",
    "\n",
    "for idx, row in RawData.iterrows():\n",
    "    d = row.to_dict()\n",
    "    dn = {}\n",
    "    \n",
    "    dn = {}\n",
    "    dn['Vaccination'] = 'Flu'\n",
    "    dn['Race'] = 'Black'\n",
    "    \n",
    "    dn['VaxRate'] = d['FluVax_BlackRate'] # * d['Prop_Weights']\n",
    "    dn['Prop_Weights'] = d['Prop_Weights']\n",
    "    \n",
    "    \n",
    "    dn['Vaccination Rate (%)'] = d['FluVax_BlackRate']* d['Prop_Weights']\n",
    "    # dn['Population'] = d['Total_Whole']\n",
    "    # dn['Rate-Population'] = (dn['Vaccination Rate (%)'] , dn['Population'])\n",
    "    L.append(dn)\n",
    "    \n",
    "    dn = {}\n",
    "    dn['Vaccination'] = 'Flu'\n",
    "    dn['Race'] = 'White'\n",
    "    \n",
    "    dn['VaxRate'] = d['FluVax_NHWhiteRate'] # * d['Prop_Weights']\n",
    "    dn['Prop_Weights'] = d['Prop_Weights']\n",
    "    \n",
    "    \n",
    "    \n",
    "    dn['Vaccination Rate (%)'] = d['FluVax_NHWhiteRate']* d['Prop_Weights']\n",
    "    L.append(dn)\n",
    "    \n",
    "newdf = pd.DataFrame(L)\n",
    "# print(newdf.shape)\n",
    "newdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "split-storage",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32.83652202954368 6.4822776599934855\n",
      "51.6344817802774 6.520512791353634\n",
      "18.797959750733717\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'Black']\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print(average,std)\n",
    "\n",
    "\n",
    "black_w_average = average\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White']\n",
    "values = df['VaxRate']\n",
    "weights= df['Prop_Weights']\n",
    "average = np.ma.average(values, weights = weights, axis=0)\n",
    "variance = np.dot(weights, (values - average) ** 2) / weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print(average,std)\n",
    "\n",
    "white_w_average = average\n",
    "\n",
    "print(white_w_average - black_w_average)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "normal-directory",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "April 19\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FluVax_Disparity</th>\n",
       "      <th>FluVax_BlackRate</th>\n",
       "      <th>FluVax_NHWhiteRate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15.185185</td>\n",
       "      <td>34.486772</td>\n",
       "      <td>49.671958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.444678</td>\n",
       "      <td>7.720178</td>\n",
       "      <td>7.516044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-12.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>21.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>45.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>55.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>37.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>67.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       FluVax_Disparity  FluVax_BlackRate  FluVax_NHWhiteRate\n",
       "count        756.000000        756.000000          756.000000\n",
       "mean          15.185185         34.486772           49.671958\n",
       "std            6.444678          7.720178            7.516044\n",
       "min          -12.000000          0.000000           21.000000\n",
       "25%           12.000000         30.000000           45.000000\n",
       "50%           16.000000         35.000000           50.000000\n",
       "75%           19.000000         39.000000           55.000000\n",
       "max           37.000000         64.000000           67.000000"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# sns.set_theme(style=\"ticks\")\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.set(font_scale=1.4)\n",
    "\n",
    "\n",
    "\n",
    "def change_width(ax, new_value) :\n",
    "    for patch in ax.patches :\n",
    "        current_width = patch.get_width()\n",
    "        diff = current_width - new_value\n",
    "\n",
    "        # we change the bar width\n",
    "        patch.set_width(new_value)\n",
    "\n",
    "        # we recenter the bar\n",
    "        patch.set_x(patch.get_x() + diff * .5)\n",
    "\n",
    "            \n",
    "# import mylib\n",
    "newdf = newdf[newdf['Vaccination'] == 'Flu']\n",
    "\n",
    "\n",
    "dims = (10, 6)\n",
    "# df = mylib.load_data()\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "# seaborn.violinplot(ax=ax, data=df, **violin_options)\n",
    "ax.set(ylim=(0, 65))\n",
    "\n",
    "\n",
    "if True:\n",
    "    \n",
    "    # df.to_csv('759_rate.csv')\n",
    "    ax = sns.barplot(x=\"Race\" , y=\"Vaccination Rate (%)\", palette = ['grey', 'red'], # ci = 'sd',\n",
    "                     alpha = 0.5, # estimator = sum,\n",
    "                     data=newdf, errwidth = 2, errcolor = 'black', capsize=.4)\n",
    "    \n",
    "    change_width(ax, 0.6)\n",
    "    \n",
    "else:\n",
    "    ax = sns.barplot(x=\"Vaccination\" , y=\"Vaccination Rate (%)\", hue = 'Race', palette = ['grey', 'red'], alpha = 0.5,\n",
    "                 data=newdf, errwidth = 2, errcolor = 'black', capsize=.4)\n",
    "\n",
    "\n",
    "# ax.set_ylabel(\"Weighted Vaccination Rate (%)\")\n",
    "# ax.set_title('Flu Vaccination Rate (759 Counties, 2019)')\n",
    "\n",
    "county_num = len(RawData)\n",
    "date = '2019'\n",
    "\n",
    "ax.set_ylabel(\"Weighted Vaccination Rate (%)\")\n",
    "ax.set_title('Flu Vaccination Rate ({} Counties, {})'.format(county_num, date))\n",
    "\n",
    "plt.show()\n",
    "\n",
    "print('April 19')\n",
    "Rate = RawData[[ 'FluVax_Disparity', 'FluVax_BlackRate', 'FluVax_NHWhiteRate',]].describe()\n",
    "Rate.to_clipboard()\n",
    "Rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "australian-mozambique",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('bar-flu.pdf', dpi=5000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "likely-excuse",
   "metadata": {},
   "source": [
    "# Flu Bar Chart (Original)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "eleven-mistress",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn\n",
    "\n",
    "\n",
    "def change_width(ax, new_value) :\n",
    "    for patch in ax.patches :\n",
    "        current_width = patch.get_width()\n",
    "        diff = current_width - new_value\n",
    "\n",
    "        # we change the bar width\n",
    "        patch.set_width(new_value)\n",
    "\n",
    "        # we recenter the bar\n",
    "        patch.set_x(patch.get_x() + diff * .5)\n",
    "\n",
    "            \n",
    "# import mylib\n",
    "\n",
    "\n",
    "time = '2019'\n",
    "dims = (10, 6)\n",
    "# df = mylib.load_data()\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "# seaborn.violinplot(ax=ax, data=df, **violin_options)\n",
    "ax.set(ylim=(0, 65))\n",
    "\n",
    "\n",
    "\n",
    "# df.to_csv('759_rate.csv')\n",
    "ax = sns.barplot(x=\"Race\" , y=\"VaxRate\", palette = ['grey', 'red'], alpha = 0.5,\n",
    "                 data=newdf, errwidth = 2, errcolor = 'black', capsize=.3)\n",
    "\n",
    "change_width(ax, 0.5)\n",
    "\n",
    "ax.set_title('COVID-19 Vaccination Rate ({} Counties, {})'.format(county_num, time))\n",
    "ax.set_ylabel('Flu Vaccination Rate %')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "statewide-treasury",
   "metadata": {},
   "source": [
    "# Flu Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "sorted-craft",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 248)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/floydluo/opt/miniconda3/envs/ox/lib/python3.9/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/floydluo/opt/miniconda3/envs/ox/lib/python3.9/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[(0.0, 0.155)]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot#  as plt\n",
    " \n",
    "    \n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.set(font_scale=1.4)\n",
    "\n",
    "# Rate = T2[['Rate_Diff', 'Rate_Black', 'Rate_White',  'FluDiff', 'FluBlack', 'FluWhite',]].mean()*100\n",
    "# Rate\n",
    "\n",
    "RawData = T3_Whole\n",
    "print(RawData.shape)\n",
    "\n",
    "\n",
    "dims = (10, 6)\n",
    "# df = mylib.load_data()\n",
    "fig, ax = pyplot.subplots(figsize=dims)\n",
    "\n",
    "ax = sns.distplot(RawData['FluVax_BlackRate'], hist=True, kde=True, \n",
    "            bins=int(100), color = 'grey',\n",
    "            kde_kws={'linewidth': 1}, label='Black')\n",
    "\n",
    "ax = sns.distplot(RawData['FluVax_NHWhiteRate'], hist=True, kde=True,\n",
    "            bins=int(100), color = 'red',\n",
    "            kde_kws={'linewidth': 1}, label='White')\n",
    "\n",
    "pyplot.legend(loc='best')\n",
    "\n",
    "\n",
    "county_num = len(RawData)\n",
    "date = '2019'\n",
    "\n",
    "ax.set_title('Flu Vaccination Rate Distribution ({} Counties, {})'.format(county_num, date))\n",
    "ax.set(xlabel='Flu Vaccination Rate (%)')\n",
    "ax.set(ylabel ='Density')\n",
    "ax.set(xlim=(0, 100))\n",
    "ax.set(ylim=(0, 0.155))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "protective-yesterday",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('dist-flu.pdf', dpi=5000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "herbal-dealer",
   "metadata": {},
   "source": [
    "# Black and NHWhite Weighted Proportion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "favorite-structure",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:53:40.966986Z",
     "start_time": "2021-06-28T17:53:40.559739Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 247)\n",
      "756.0\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "T2path = 'StataReg/0419-base/T2.csv'\n",
    "T2 = pd.read_csv(T2path)\n",
    "T3_Whole = T2[T2['Selected'] == 1].reset_index(drop = True)\n",
    "T3path = 'StataReg/0419-base/Data.dta'\n",
    "T3 = pd.read_stata(T3path)\n",
    "\n",
    "print(T3_Whole.shape)\n",
    "\n",
    "T3_Whole['Prop_Weights'] = T3_Whole['WholeNum'] / T3_Whole['WholeNum'].sum() * len(T3_Whole)\n",
    "print(T3_Whole['Prop_Weights'].sum())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cloudy-possible",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:53:41.055581Z",
     "start_time": "2021-06-28T17:53:40.968551Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 248)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Race</th>\n",
       "      <th>Prop_Weights</th>\n",
       "      <th>Republican</th>\n",
       "      <th>RacePropotion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Black</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>0</td>\n",
       "      <td>0.110312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>White</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>0</td>\n",
       "      <td>0.306423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>White-Black</td>\n",
       "      <td>7.404302</td>\n",
       "      <td>0</td>\n",
       "      <td>0.196111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Black</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>0</td>\n",
       "      <td>0.018970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>White</td>\n",
       "      <td>0.971035</td>\n",
       "      <td>0</td>\n",
       "      <td>0.709055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2263</th>\n",
       "      <td>White</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>0</td>\n",
       "      <td>0.803052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2264</th>\n",
       "      <td>White-Black</td>\n",
       "      <td>1.171971</td>\n",
       "      <td>0</td>\n",
       "      <td>0.773287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2265</th>\n",
       "      <td>Black</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>0</td>\n",
       "      <td>0.015715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2266</th>\n",
       "      <td>White</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>0</td>\n",
       "      <td>0.930201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2267</th>\n",
       "      <td>White-Black</td>\n",
       "      <td>0.200439</td>\n",
       "      <td>0</td>\n",
       "      <td>0.914486</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2268 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Race  Prop_Weights  Republican  RacePropotion\n",
       "0           Black      7.404302           0       0.110312\n",
       "1           White      7.404302           0       0.306423\n",
       "2     White-Black      7.404302           0       0.196111\n",
       "3           Black      0.971035           0       0.018970\n",
       "4           White      0.971035           0       0.709055\n",
       "...           ...           ...         ...            ...\n",
       "2263        White      1.171971           0       0.803052\n",
       "2264  White-Black      1.171971           0       0.773287\n",
       "2265        Black      0.200439           0       0.015715\n",
       "2266        White      0.200439           0       0.930201\n",
       "2267  White-Black      0.200439           0       0.914486\n",
       "\n",
       "[2268 rows x 4 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "RawData = T3_Whole\n",
    "print(RawData.shape)\n",
    "\n",
    "L = []\n",
    "\n",
    "for idx, row in RawData.iterrows():\n",
    "    d = row.to_dict()\n",
    "    dn = {}\n",
    "    # dn['Vaccination'] = 'COVID-19'\n",
    "    dn['Race'] = 'Black'\n",
    "    # dn['VaxRate'] = d['CvdVax_MBlackRate'] # * d['Prop_Weights']\n",
    "    dn['Prop_Weights'] = d['Prop_Weights']\n",
    "    dn['Republican'] = d['republican']\n",
    "    # dn['Vaccination Rate (%)'] = d['CvdVax_MBlackRate'] * d['Prop_Weights']\n",
    "    dn['RacePropotion'] = d['BlackNum'] / d['WholeNum']\n",
    "    L.append(dn)\n",
    "                    \n",
    "                    \n",
    "    dn = {}\n",
    "    # dn['Vaccination'] = 'COVID-19'\n",
    "    dn['Race'] = 'White'\n",
    "    # dn['VaxRate'] = d['CvdVax_MWhiteRate'] # * d['Prop_Weights']\n",
    "    dn['Prop_Weights'] = d['Prop_Weights']\n",
    "    dn['Republican'] = d['republican']\n",
    "    dn['RacePropotion'] = d['NHWhiteNum'] / d['WholeNum']\n",
    "    L.append(dn)\n",
    "    \n",
    "    \n",
    "    dn = {}\n",
    "    # dn['Vaccination'] = 'COVID-19'\n",
    "    dn['Race'] = 'White-Black'\n",
    "    # dn['VaxRate'] = d['CvdVax_MWhiteRate'] # * d['Prop_Weights']\n",
    "    dn['Prop_Weights'] = d['Prop_Weights']\n",
    "    dn['Republican'] = d['republican']\n",
    "    dn['RacePropotion'] = d['NHWhiteNum'] / d['WholeNum'] - d['BlackNum'] / d['WholeNum']\n",
    "    L.append(dn)\n",
    "    \n",
    "    \n",
    "                    \n",
    "    \n",
    "newdf = pd.DataFrame(L)\n",
    "# print(newdf.shape)\n",
    "newdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "greek-pharmacology",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:53:41.059217Z",
     "start_time": "2021-06-28T17:53:41.056921Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "756.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2268 / 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "continent-console",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:53:41.334012Z",
     "start_time": "2021-06-28T17:53:41.302986Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Republican\n",
      "Black (w-mean, w-std): 0.16376974062842606 0.1138462599454093 , county number: 405\n",
      "White (w-mean, w-std): 0.5872972952219906 0.21299821352890821 , county number: 405\n",
      "Diff: 0.4235275545935645\n",
      "White-Black (w-mean, w-std): 0.4235275545935644 0.2808786499052298 , county number: 405\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "print('Republican')\n",
    "df = newdf[newdf['Race'] == 'Black']\n",
    "df = df[df['Republican'] == 1]\n",
    "\n",
    "\n",
    "repu_black_values = df['RacePropotion']\n",
    "repu_black_weights= df['Prop_Weights']\n",
    "average = np.ma.average(repu_black_values, weights = repu_black_weights, axis=0)\n",
    "variance = np.dot(repu_black_weights, (repu_black_values - average) ** 2) / repu_black_weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('Black (w-mean, w-std):', average, std, ', county number:', len(df))\n",
    "\n",
    "black_w_average = average\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White']\n",
    "df = df[df['Republican'] == 1]\n",
    "repu_white_values = df['RacePropotion']\n",
    "repu_white_weights= df['Prop_Weights']\n",
    "average = np.ma.average(repu_white_values, weights = repu_white_weights, axis=0)\n",
    "variance = np.dot(repu_white_weights, (repu_white_values - average) ** 2) / repu_white_weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('White (w-mean, w-std):', average,std, ', county number:', len(df))\n",
    "\n",
    "white_w_average = average\n",
    "\n",
    "print('Diff:', white_w_average - black_w_average)\n",
    "\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White-Black']\n",
    "df = df[df['Republican'] == 1]\n",
    "repu_diff_values = df['RacePropotion']\n",
    "repu_diff_weights= df['Prop_Weights']\n",
    "average = np.ma.average(repu_diff_values, weights = repu_diff_weights, axis=0)\n",
    "variance = np.dot(repu_diff_weights, (repu_diff_values - average) ** 2) / repu_diff_weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('White-Black (w-mean, w-std):', average, std, ', county number:', len(df))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "improving-image",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:55:00.318133Z",
     "start_time": "2021-06-28T17:55:00.289204Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Democratic\n",
      "Black (w-mean, w-std): 0.119413056655568 0.10533402077240196 , county number: 351\n",
      "White (w-mean, w-std): 0.5255539865673362 0.2185955679314541 , county number: 351\n",
      "Diff: 0.4061409299117682\n",
      "White-Black (w-mean, w-std): 0.40614092991176837 0.2742175889007779 , county number: 351\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "print('Democratic')\n",
    "df = newdf[newdf['Race'] == 'Black']\n",
    "df = df[df['Republican'] == 0]\n",
    "demo_black_values = df['RacePropotion']\n",
    "demo_black_weights= df['Prop_Weights']\n",
    "average = np.ma.average(demo_black_values, weights = demo_black_weights, axis=0)\n",
    "variance = np.dot(demo_black_weights, (demo_black_values - average) ** 2) / demo_black_weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('Black (w-mean, w-std):', average, std, ', county number:', len(df))\n",
    "\n",
    "black_w_average = average\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White']\n",
    "df = df[df['Republican'] == 0]\n",
    "demo_white_values = df['RacePropotion']\n",
    "demo_white_weights= df['Prop_Weights']\n",
    "average = np.ma.average(demo_white_values, weights = demo_white_weights, axis=0)\n",
    "variance = np.dot(demo_white_weights, (demo_white_values - average) ** 2) / demo_white_weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('White (w-mean, w-std):', average,std, ', county number:', len(df))\n",
    "\n",
    "white_w_average = average\n",
    "\n",
    "print('Diff:', white_w_average - black_w_average)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "import numpy as np\n",
    "df = newdf[newdf['Race'] == 'White-Black']\n",
    "df = df[df['Republican'] == 0]\n",
    "demo_diff_values = df['RacePropotion']\n",
    "demo_diff_weights= df['Prop_Weights']\n",
    "average = np.ma.average(demo_diff_values, weights = demo_diff_weights, axis=0)\n",
    "variance = np.dot(demo_diff_weights, (demo_diff_values - average) ** 2) / demo_diff_weights.sum()\n",
    "std = np.sqrt(variance)\n",
    "print('White-Black (w-mean, w-std):', average, std, ', county number:', len(df))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "expected-structure",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:55:07.120633Z",
     "start_time": "2021-06-28T17:55:07.117770Z"
    }
   },
   "outputs": [],
   "source": [
    "# np.ma.average?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "swedish-burlington",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:56:24.187230Z",
     "start_time": "2021-06-28T17:56:24.170910Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "405\n",
      "351\n",
      "Ttest_indResult(statistic=-1.0010395658314801, pvalue=0.31712882327284697)\n",
      "Ttest_indResult(statistic=-0.9738388578970354, pvalue=0.3304488687883068)\n"
     ]
    }
   ],
   "source": [
    "from scipy import stats\n",
    "\n",
    "\n",
    "norm_weight = repu_diff_weights / repu_diff_weights.sum()\n",
    "repu_diff_weighted = (repu_diff_values * norm_weight).values\n",
    "print(len(repu_diff_weighted))\n",
    "\n",
    "\n",
    "norm_weight = demo_diff_weights / demo_diff_weights.sum()\n",
    "demo_diff_weighted = (demo_diff_values * norm_weight).values\n",
    "print(len(demo_diff_weighted))\n",
    "\n",
    "\n",
    "print(stats.ttest_ind(repu_diff_values,   demo_diff_values))\n",
    "print(stats.ttest_ind(repu_diff_weighted, demo_diff_weighted))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "filled-blackberry",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T18:00:08.135016Z",
     "start_time": "2021-06-28T18:00:08.124008Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "405\n",
      "351\n",
      "For white\n",
      "Ttest_indResult(statistic=-0.5561936648849007, pvalue=0.5782434840348822)\n",
      "Ttest_indResult(statistic=-0.2811803114367226, pvalue=0.7786492477363437)\n"
     ]
    }
   ],
   "source": [
    "from scipy import stats\n",
    "\n",
    "norm_weight = repu_white_weights / repu_white_weights.sum()\n",
    "repu_white_weighted = (repu_white_values * norm_weight).values\n",
    "print(len(repu_white_weighted))\n",
    "\n",
    "\n",
    "norm_weight = demo_white_weights / demo_white_weights.sum()\n",
    "demo_white_weighted = (demo_white_values * norm_weight).values\n",
    "print(len(demo_white_weighted))\n",
    "\n",
    "\n",
    "print('For white')\n",
    "print(stats.ttest_ind(repu_white_values,   demo_white_values))\n",
    "print(stats.ttest_ind(repu_white_weighted, demo_white_weighted))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "driven-burlington",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:59:59.958524Z",
     "start_time": "2021-06-28T17:59:59.947408Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "405\n",
      "351\n",
      "For Black\n",
      "Ttest_indResult(statistic=1.390983302036525, pvalue=0.1646408171606421)\n",
      "Ttest_indResult(statistic=0.7690818520774292, pvalue=0.4420855600608141)\n"
     ]
    }
   ],
   "source": [
    "from scipy import stats\n",
    "\n",
    "norm_weight = repu_black_weights / repu_black_weights.sum()\n",
    "repu_black_weighted = (repu_black_values * norm_weight).values\n",
    "print(len(repu_black_weighted))\n",
    "\n",
    "\n",
    "norm_weight = demo_black_weights / demo_black_weights.sum()\n",
    "demo_black_weighted = (demo_black_values * norm_weight).values\n",
    "print(len(demo_black_weighted))\n",
    "\n",
    "\n",
    "print('For Black')\n",
    "print(stats.ttest_ind(repu_black_values,   demo_black_values))\n",
    "print(stats.ttest_ind(repu_black_weighted, demo_black_weighted))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "downtown-tablet",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:49:10.676026Z",
     "start_time": "2021-06-28T17:49:10.673415Z"
    }
   },
   "outputs": [],
   "source": [
    "# demo_diff_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "novel-format",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:49:37.406517Z",
     "start_time": "2021-06-28T17:49:37.400767Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-1.0010395658314801, pvalue=0.31712882327284697)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "\n",
    "stats.ttest_ind(repu_diff_values, demo_diff_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "progressive-ultimate",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T17:49:39.179636Z",
     "start_time": "2021-06-28T17:49:39.173665Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ttest_indResult(statistic=-0.9738388578970354, pvalue=0.3304488687883068)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fourth-neutral",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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