triage_viz.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib.colors import ListedColormap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stabbr</th>\n",
       "      <th>GeoID10_trt</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>NHwht</th>\n",
       "      <th>NHblk</th>\n",
       "      <th>NHasi</th>\n",
       "      <th>NHother</th>\n",
       "      <th>Hisp</th>\n",
       "      <th>pctNHwht</th>\n",
       "      <th>pctNHblk</th>\n",
       "      <th>...</th>\n",
       "      <th>pctFemHHwc</th>\n",
       "      <th>sumlevel</th>\n",
       "      <th>stfips</th>\n",
       "      <th>county</th>\n",
       "      <th>tract_x</th>\n",
       "      <th>GeoID10_cnty</th>\n",
       "      <th>tract_y</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>google_loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201100000</td>\n",
       "      <td>4690</td>\n",
       "      <td>2082</td>\n",
       "      <td>1047</td>\n",
       "      <td>134</td>\n",
       "      <td>357</td>\n",
       "      <td>1070</td>\n",
       "      <td>44.39</td>\n",
       "      <td>22.32</td>\n",
       "      <td>...</td>\n",
       "      <td>3.19</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000.0</td>\n",
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       "      <td>-95.362731</td>\n",
       "      <td>29.7572831, -95.3627308 (1000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201210100</td>\n",
       "      <td>9652</td>\n",
       "      <td>2893</td>\n",
       "      <td>4881</td>\n",
       "      <td>58</td>\n",
       "      <td>32</td>\n",
       "      <td>1788</td>\n",
       "      <td>29.97</td>\n",
       "      <td>50.57</td>\n",
       "      <td>...</td>\n",
       "      <td>9.09</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2101.0</td>\n",
       "      <td>29.766385</td>\n",
       "      <td>-95.351304</td>\n",
       "      <td>29.7663846, -95.3513042 (2101)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201210400</td>\n",
       "      <td>5328</td>\n",
       "      <td>332</td>\n",
       "      <td>904</td>\n",
       "      <td>23</td>\n",
       "      <td>44</td>\n",
       "      <td>4025</td>\n",
       "      <td>6.23</td>\n",
       "      <td>16.97</td>\n",
       "      <td>...</td>\n",
       "      <td>21.43</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210400.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2104.0</td>\n",
       "      <td>29.786450</td>\n",
       "      <td>-95.362207</td>\n",
       "      <td>29.7864497, -95.3622075 (2104)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201210500</td>\n",
       "      <td>4882</td>\n",
       "      <td>225</td>\n",
       "      <td>535</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>4096</td>\n",
       "      <td>4.61</td>\n",
       "      <td>10.96</td>\n",
       "      <td>...</td>\n",
       "      <td>16.59</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210500.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2105.0</td>\n",
       "      <td>29.795258</td>\n",
       "      <td>-95.360383</td>\n",
       "      <td>29.7952577, -95.3603828 (2105)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201210600</td>\n",
       "      <td>5497</td>\n",
       "      <td>935</td>\n",
       "      <td>96</td>\n",
       "      <td>36</td>\n",
       "      <td>52</td>\n",
       "      <td>4378</td>\n",
       "      <td>17.01</td>\n",
       "      <td>1.75</td>\n",
       "      <td>...</td>\n",
       "      <td>10.15</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210600.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>29.807040</td>\n",
       "      <td>-95.365360</td>\n",
       "      <td>29.8070404, -95.3653598 (2106)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 68 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  stabbr  GeoID10_trt  TotalPop  NHwht  NHblk  NHasi  NHother  Hisp  pctNHwht  \\\n",
       "0     TX  48201100000      4690   2082   1047    134      357  1070     44.39   \n",
       "1     TX  48201210100      9652   2893   4881     58       32  1788     29.97   \n",
       "2     TX  48201210400      5328    332    904     23       44  4025      6.23   \n",
       "3     TX  48201210500      4882    225    535      6       20  4096      4.61   \n",
       "4     TX  48201210600      5497    935     96     36       52  4378     17.01   \n",
       "\n",
       "   pctNHblk  ...  pctFemHHwc  sumlevel  stfips  county   tract_x  \\\n",
       "0     22.32  ...        3.19       140      48     201  100000.0   \n",
       "1     50.57  ...        9.09       140      48     201  210100.0   \n",
       "2     16.97  ...       21.43       140      48     201  210400.0   \n",
       "3     10.96  ...       16.59       140      48     201  210500.0   \n",
       "4      1.75  ...       10.15       140      48     201  210600.0   \n",
       "\n",
       "   GeoID10_cnty  tract_y   latitude  longitude                      google_loc  \n",
       "0           NaN   1000.0  29.757283 -95.362731  29.7572831, -95.3627308 (1000)  \n",
       "1           NaN   2101.0  29.766385 -95.351304  29.7663846, -95.3513042 (2101)  \n",
       "2           NaN   2104.0  29.786450 -95.362207  29.7864497, -95.3622075 (2104)  \n",
       "3           NaN   2105.0  29.795258 -95.360383  29.7952577, -95.3603828 (2105)  \n",
       "4           NaN   2106.0  29.807040 -95.365360  29.8070404, -95.3653598 (2106)  \n",
       "\n",
       "[5 rows x 68 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "      <th>stabbr</th>\n",
       "      <th>GeoID10_trt</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>NHwht</th>\n",
       "      <th>NHblk</th>\n",
       "      <th>NHasi</th>\n",
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       "      <th>Hisp</th>\n",
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       "      <th>0</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201100000</td>\n",
       "      <td>4690</td>\n",
       "      <td>2082</td>\n",
       "      <td>1047</td>\n",
       "      <td>134</td>\n",
       "      <td>357</td>\n",
       "      <td>1070</td>\n",
       "      <td>44.39</td>\n",
       "      <td>22.32</td>\n",
       "      <td>...</td>\n",
       "      <td>3.19</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
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       "      <td>TX</td>\n",
       "      <td>48201210100</td>\n",
       "      <td>9652</td>\n",
       "      <td>2893</td>\n",
       "      <td>4881</td>\n",
       "      <td>58</td>\n",
       "      <td>32</td>\n",
       "      <td>1788</td>\n",
       "      <td>29.97</td>\n",
       "      <td>50.57</td>\n",
       "      <td>...</td>\n",
       "      <td>9.09</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2101.0</td>\n",
       "      <td>29.766385</td>\n",
       "      <td>-95.351304</td>\n",
       "      <td>29.7663846, -95.3513042 (2101)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201210400</td>\n",
       "      <td>5328</td>\n",
       "      <td>332</td>\n",
       "      <td>904</td>\n",
       "      <td>23</td>\n",
       "      <td>44</td>\n",
       "      <td>4025</td>\n",
       "      <td>6.23</td>\n",
       "      <td>16.97</td>\n",
       "      <td>...</td>\n",
       "      <td>21.43</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210400.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2104.0</td>\n",
       "      <td>29.786450</td>\n",
       "      <td>-95.362207</td>\n",
       "      <td>29.7864497, -95.3622075 (2104)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201210500</td>\n",
       "      <td>4882</td>\n",
       "      <td>225</td>\n",
       "      <td>535</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>4096</td>\n",
       "      <td>4.61</td>\n",
       "      <td>10.96</td>\n",
       "      <td>...</td>\n",
       "      <td>16.59</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210500.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2105.0</td>\n",
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       "      <td>29.7952577, -95.3603828 (2105)</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TX</td>\n",
       "      <td>48201210600</td>\n",
       "      <td>5497</td>\n",
       "      <td>935</td>\n",
       "      <td>96</td>\n",
       "      <td>36</td>\n",
       "      <td>52</td>\n",
       "      <td>4378</td>\n",
       "      <td>17.01</td>\n",
       "      <td>1.75</td>\n",
       "      <td>...</td>\n",
       "      <td>10.15</td>\n",
       "      <td>140</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>210600.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>29.807040</td>\n",
       "      <td>-95.365360</td>\n",
       "      <td>29.8070404, -95.3653598 (2106)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 68 columns</p>\n",
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      ],
      "text/plain": [
       "  stabbr  GeoID10_trt  TotalPop  NHwht  NHblk  NHasi  NHother  Hisp  pctNHwht  \\\n",
       "0     TX  48201100000      4690   2082   1047    134      357  1070     44.39   \n",
       "1     TX  48201210100      9652   2893   4881     58       32  1788     29.97   \n",
       "2     TX  48201210400      5328    332    904     23       44  4025      6.23   \n",
       "3     TX  48201210500      4882    225    535      6       20  4096      4.61   \n",
       "4     TX  48201210600      5497    935     96     36       52  4378     17.01   \n",
       "\n",
       "   pctNHblk  ...  pctFemHHwc  sumlevel  stfips  county   tract_x  \\\n",
       "0     22.32  ...        3.19       140      48     201  100000.0   \n",
       "1     50.57  ...        9.09       140      48     201  210100.0   \n",
       "2     16.97  ...       21.43       140      48     201  210400.0   \n",
       "3     10.96  ...       16.59       140      48     201  210500.0   \n",
       "4      1.75  ...       10.15       140      48     201  210600.0   \n",
       "\n",
       "   GeoID10_cnty  tract_y   latitude  longitude                      google_loc  \n",
       "0           NaN   1000.0  29.757283 -95.362731  29.7572831, -95.3627308 (1000)  \n",
       "1           NaN   2101.0  29.766385 -95.351304  29.7663846, -95.3513042 (2101)  \n",
       "2           NaN   2104.0  29.786450 -95.362207  29.7864497, -95.3622075 (2104)  \n",
       "3           NaN   2105.0  29.795258 -95.360383  29.7952577, -95.3603828 (2105)  \n",
       "4           NaN   2106.0  29.807040 -95.365360  29.8070404, -95.3653598 (2106)  \n",
       "\n",
       "[5 rows x 68 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged = pd.read_csv(\"final_dat.csv\")\n",
    "merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<matplotlib.collections.PathCollection at 0x2e703699250>"
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     "execution_count": 15,
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     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x = merged[\"longitude\"], y = merged[\"latitude\"], alpha=0.6, c=\"blue\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Subgroup</th>\n",
       "      <th>PTM</th>\n",
       "      <th>TM</th>\n",
       "      <th>STM</th>\n",
       "      <th>Availability Change After Pandemic</th>\n",
       "      <th>Scheduled Telemed</th>\n",
       "      <th>TM_Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Diagnosed diabetes</td>\n",
       "      <td>17.8</td>\n",
       "      <td>55.7</td>\n",
       "      <td>44.4</td>\n",
       "      <td>212.92</td>\n",
       "      <td>79.71</td>\n",
       "      <td>2.671183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Non-Metropolitan</td>\n",
       "      <td>11.6</td>\n",
       "      <td>35.7</td>\n",
       "      <td>22.6</td>\n",
       "      <td>207.76</td>\n",
       "      <td>63.31</td>\n",
       "      <td>3.281630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Diagnosed hypertension</td>\n",
       "      <td>15.1</td>\n",
       "      <td>45.6</td>\n",
       "      <td>32.9</td>\n",
       "      <td>201.99</td>\n",
       "      <td>72.15</td>\n",
       "      <td>2.799584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>65 years and over</td>\n",
       "      <td>15.3</td>\n",
       "      <td>45.9</td>\n",
       "      <td>32.0</td>\n",
       "      <td>200.00</td>\n",
       "      <td>69.72</td>\n",
       "      <td>2.868617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>One or more chronic conditions</td>\n",
       "      <td>15.6</td>\n",
       "      <td>45.3</td>\n",
       "      <td>31.6</td>\n",
       "      <td>190.38</td>\n",
       "      <td>69.76</td>\n",
       "      <td>2.729071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>White non-Hispanic</td>\n",
       "      <td>13.0</td>\n",
       "      <td>37.4</td>\n",
       "      <td>24.7</td>\n",
       "      <td>187.69</td>\n",
       "      <td>66.04</td>\n",
       "      <td>2.842065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>45-64 years</td>\n",
       "      <td>13.9</td>\n",
       "      <td>39.8</td>\n",
       "      <td>26.9</td>\n",
       "      <td>186.33</td>\n",
       "      <td>67.59</td>\n",
       "      <td>2.756769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Female</td>\n",
       "      <td>14.4</td>\n",
       "      <td>39.7</td>\n",
       "      <td>26.4</td>\n",
       "      <td>175.69</td>\n",
       "      <td>66.50</td>\n",
       "      <td>2.641955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>High school graduate or less</td>\n",
       "      <td>13.2</td>\n",
       "      <td>35.0</td>\n",
       "      <td>23.1</td>\n",
       "      <td>165.15</td>\n",
       "      <td>66.00</td>\n",
       "      <td>2.502273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Overall Average</td>\n",
       "      <td>14.1</td>\n",
       "      <td>36.6</td>\n",
       "      <td>24.2</td>\n",
       "      <td>159.57</td>\n",
       "      <td>66.12</td>\n",
       "      <td>2.413339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Some college</td>\n",
       "      <td>13.8</td>\n",
       "      <td>35.4</td>\n",
       "      <td>24.2</td>\n",
       "      <td>156.52</td>\n",
       "      <td>68.36</td>\n",
       "      <td>2.289643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Bachelor's degree or above</td>\n",
       "      <td>15.5</td>\n",
       "      <td>39.5</td>\n",
       "      <td>25.5</td>\n",
       "      <td>154.84</td>\n",
       "      <td>64.56</td>\n",
       "      <td>2.398389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Metropolitan</td>\n",
       "      <td>14.5</td>\n",
       "      <td>36.7</td>\n",
       "      <td>24.4</td>\n",
       "      <td>153.10</td>\n",
       "      <td>66.49</td>\n",
       "      <td>2.302602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Current asthma</td>\n",
       "      <td>18.3</td>\n",
       "      <td>46.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>151.37</td>\n",
       "      <td>80.22</td>\n",
       "      <td>1.886936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>13.9</td>\n",
       "      <td>33.4</td>\n",
       "      <td>21.9</td>\n",
       "      <td>140.29</td>\n",
       "      <td>65.57</td>\n",
       "      <td>2.139546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Male</td>\n",
       "      <td>13.9</td>\n",
       "      <td>33.4</td>\n",
       "      <td>22.0</td>\n",
       "      <td>140.29</td>\n",
       "      <td>65.87</td>\n",
       "      <td>2.129801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>18-44 years</td>\n",
       "      <td>13.7</td>\n",
       "      <td>30.2</td>\n",
       "      <td>18.8</td>\n",
       "      <td>120.44</td>\n",
       "      <td>62.25</td>\n",
       "      <td>1.934779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Black non-Hispanic</td>\n",
       "      <td>18.0</td>\n",
       "      <td>38.5</td>\n",
       "      <td>27.4</td>\n",
       "      <td>113.89</td>\n",
       "      <td>71.17</td>\n",
       "      <td>1.600253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Other non-Hispanic</td>\n",
       "      <td>17.7</td>\n",
       "      <td>34.1</td>\n",
       "      <td>19.9</td>\n",
       "      <td>92.66</td>\n",
       "      <td>58.36</td>\n",
       "      <td>1.587731</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Subgroup   PTM    TM   STM  \\\n",
       "0               Diagnosed diabetes  17.8  55.7  44.4   \n",
       "1                 Non-Metropolitan  11.6  35.7  22.6   \n",
       "2           Diagnosed hypertension  15.1  45.6  32.9   \n",
       "3                65 years and over  15.3  45.9  32.0   \n",
       "4   One or more chronic conditions  15.6  45.3  31.6   \n",
       "5               White non-Hispanic  13.0  37.4  24.7   \n",
       "6                      45-64 years  13.9  39.8  26.9   \n",
       "7                           Female  14.4  39.7  26.4   \n",
       "8     High school graduate or less  13.2  35.0  23.1   \n",
       "9                  Overall Average  14.1  36.6  24.2   \n",
       "10                    Some college  13.8  35.4  24.2   \n",
       "11      Bachelor's degree or above  15.5  39.5  25.5   \n",
       "12                    Metropolitan  14.5  36.7  24.4   \n",
       "13                  Current asthma  18.3  46.0  36.9   \n",
       "14                        Hispanic  13.9  33.4  21.9   \n",
       "15                            Male  13.9  33.4  22.0   \n",
       "16                     18-44 years  13.7  30.2  18.8   \n",
       "17              Black non-Hispanic  18.0  38.5  27.4   \n",
       "18              Other non-Hispanic  17.7  34.1  19.9   \n",
       "\n",
       "    Availability Change After Pandemic  Scheduled Telemed  TM_Score  \n",
       "0                               212.92              79.71  2.671183  \n",
       "1                               207.76              63.31  3.281630  \n",
       "2                               201.99              72.15  2.799584  \n",
       "3                               200.00              69.72  2.868617  \n",
       "4                               190.38              69.76  2.729071  \n",
       "5                               187.69              66.04  2.842065  \n",
       "6                               186.33              67.59  2.756769  \n",
       "7                               175.69              66.50  2.641955  \n",
       "8                               165.15              66.00  2.502273  \n",
       "9                               159.57              66.12  2.413339  \n",
       "10                              156.52              68.36  2.289643  \n",
       "11                              154.84              64.56  2.398389  \n",
       "12                              153.10              66.49  2.302602  \n",
       "13                              151.37              80.22  1.886936  \n",
       "14                              140.29              65.57  2.139546  \n",
       "15                              140.29              65.87  2.129801  \n",
       "16                              120.44              62.25  1.934779  \n",
       "17                              113.89              71.17  1.600253  \n",
       "18                               92.66              58.36  1.587731  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Subgroup</th>\n",
       "      <th>PTM</th>\n",
       "      <th>TM</th>\n",
       "      <th>STM</th>\n",
       "      <th>Availability Change After Pandemic</th>\n",
       "      <th>Scheduled Telemed</th>\n",
       "      <th>TM_Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Diagnosed diabetes</td>\n",
       "      <td>17.8</td>\n",
       "      <td>55.7</td>\n",
       "      <td>44.4</td>\n",
       "      <td>212.92</td>\n",
       "      <td>79.71</td>\n",
       "      <td>2.671183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Non-Metropolitan</td>\n",
       "      <td>11.6</td>\n",
       "      <td>35.7</td>\n",
       "      <td>22.6</td>\n",
       "      <td>207.76</td>\n",
       "      <td>63.31</td>\n",
       "      <td>3.281630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Diagnosed hypertension</td>\n",
       "      <td>15.1</td>\n",
       "      <td>45.6</td>\n",
       "      <td>32.9</td>\n",
       "      <td>201.99</td>\n",
       "      <td>72.15</td>\n",
       "      <td>2.799584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>65 years and over</td>\n",
       "      <td>15.3</td>\n",
       "      <td>45.9</td>\n",
       "      <td>32.0</td>\n",
       "      <td>200.00</td>\n",
       "      <td>69.72</td>\n",
       "      <td>2.868617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>One or more chronic conditions</td>\n",
       "      <td>15.6</td>\n",
       "      <td>45.3</td>\n",
       "      <td>31.6</td>\n",
       "      <td>190.38</td>\n",
       "      <td>69.76</td>\n",
       "      <td>2.729071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>White non-Hispanic</td>\n",
       "      <td>13.0</td>\n",
       "      <td>37.4</td>\n",
       "      <td>24.7</td>\n",
       "      <td>187.69</td>\n",
       "      <td>66.04</td>\n",
       "      <td>2.842065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>45-64 years</td>\n",
       "      <td>13.9</td>\n",
       "      <td>39.8</td>\n",
       "      <td>26.9</td>\n",
       "      <td>186.33</td>\n",
       "      <td>67.59</td>\n",
       "      <td>2.756769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Female</td>\n",
       "      <td>14.4</td>\n",
       "      <td>39.7</td>\n",
       "      <td>26.4</td>\n",
       "      <td>175.69</td>\n",
       "      <td>66.50</td>\n",
       "      <td>2.641955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>High school graduate or less</td>\n",
       "      <td>13.2</td>\n",
       "      <td>35.0</td>\n",
       "      <td>23.1</td>\n",
       "      <td>165.15</td>\n",
       "      <td>66.00</td>\n",
       "      <td>2.502273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Overall Average</td>\n",
       "      <td>14.1</td>\n",
       "      <td>36.6</td>\n",
       "      <td>24.2</td>\n",
       "      <td>159.57</td>\n",
       "      <td>66.12</td>\n",
       "      <td>2.413339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Some college</td>\n",
       "      <td>13.8</td>\n",
       "      <td>35.4</td>\n",
       "      <td>24.2</td>\n",
       "      <td>156.52</td>\n",
       "      <td>68.36</td>\n",
       "      <td>2.289643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Bachelor's degree or above</td>\n",
       "      <td>15.5</td>\n",
       "      <td>39.5</td>\n",
       "      <td>25.5</td>\n",
       "      <td>154.84</td>\n",
       "      <td>64.56</td>\n",
       "      <td>2.398389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Metropolitan</td>\n",
       "      <td>14.5</td>\n",
       "      <td>36.7</td>\n",
       "      <td>24.4</td>\n",
       "      <td>153.10</td>\n",
       "      <td>66.49</td>\n",
       "      <td>2.302602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Current asthma</td>\n",
       "      <td>18.3</td>\n",
       "      <td>46.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>151.37</td>\n",
       "      <td>80.22</td>\n",
       "      <td>1.886936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>13.9</td>\n",
       "      <td>33.4</td>\n",
       "      <td>21.9</td>\n",
       "      <td>140.29</td>\n",
       "      <td>65.57</td>\n",
       "      <td>2.139546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Male</td>\n",
       "      <td>13.9</td>\n",
       "      <td>33.4</td>\n",
       "      <td>22.0</td>\n",
       "      <td>140.29</td>\n",
       "      <td>65.87</td>\n",
       "      <td>2.129801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>18-44 years</td>\n",
       "      <td>13.7</td>\n",
       "      <td>30.2</td>\n",
       "      <td>18.8</td>\n",
       "      <td>120.44</td>\n",
       "      <td>62.25</td>\n",
       "      <td>1.934779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Black non-Hispanic</td>\n",
       "      <td>18.0</td>\n",
       "      <td>38.5</td>\n",
       "      <td>27.4</td>\n",
       "      <td>113.89</td>\n",
       "      <td>71.17</td>\n",
       "      <td>1.600253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Other non-Hispanic</td>\n",
       "      <td>17.7</td>\n",
       "      <td>34.1</td>\n",
       "      <td>19.9</td>\n",
       "      <td>92.66</td>\n",
       "      <td>58.36</td>\n",
       "      <td>1.587731</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Subgroup   PTM    TM   STM  \\\n",
       "0               Diagnosed diabetes  17.8  55.7  44.4   \n",
       "1                 Non-Metropolitan  11.6  35.7  22.6   \n",
       "2           Diagnosed hypertension  15.1  45.6  32.9   \n",
       "3                65 years and over  15.3  45.9  32.0   \n",
       "4   One or more chronic conditions  15.6  45.3  31.6   \n",
       "5               White non-Hispanic  13.0  37.4  24.7   \n",
       "6                      45-64 years  13.9  39.8  26.9   \n",
       "7                           Female  14.4  39.7  26.4   \n",
       "8     High school graduate or less  13.2  35.0  23.1   \n",
       "9                  Overall Average  14.1  36.6  24.2   \n",
       "10                    Some college  13.8  35.4  24.2   \n",
       "11      Bachelor's degree or above  15.5  39.5  25.5   \n",
       "12                    Metropolitan  14.5  36.7  24.4   \n",
       "13                  Current asthma  18.3  46.0  36.9   \n",
       "14                        Hispanic  13.9  33.4  21.9   \n",
       "15                            Male  13.9  33.4  22.0   \n",
       "16                     18-44 years  13.7  30.2  18.8   \n",
       "17              Black non-Hispanic  18.0  38.5  27.4   \n",
       "18              Other non-Hispanic  17.7  34.1  19.9   \n",
       "\n",
       "    Availability Change After Pandemic  Scheduled Telemed  TM_Score  \n",
       "0                               212.92              79.71  2.671183  \n",
       "1                               207.76              63.31  3.281630  \n",
       "2                               201.99              72.15  2.799584  \n",
       "3                               200.00              69.72  2.868617  \n",
       "4                               190.38              69.76  2.729071  \n",
       "5                               187.69              66.04  2.842065  \n",
       "6                               186.33              67.59  2.756769  \n",
       "7                               175.69              66.50  2.641955  \n",
       "8                               165.15              66.00  2.502273  \n",
       "9                               159.57              66.12  2.413339  \n",
       "10                              156.52              68.36  2.289643  \n",
       "11                              154.84              64.56  2.398389  \n",
       "12                              153.10              66.49  2.302602  \n",
       "13                              151.37              80.22  1.886936  \n",
       "14                              140.29              65.57  2.139546  \n",
       "15                              140.29              65.87  2.129801  \n",
       "16                              120.44              62.25  1.934779  \n",
       "17                              113.89              71.17  1.600253  \n",
       "18                               92.66              58.36  1.587731  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_subgroups = pd.read_csv(\"all_subgroups.csv\")\n",
    "all_subgroups[\"TM_Score\"] = all_subgroups[\"telemed before and after pandemic % change\"] / all_subgroups[\"%scheduled of available telemed\"]\n",
    "all_subgroups = all_subgroups.rename(columns={\"%scheduled of available telemed\": \"Scheduled Telemed\", \"telemed before and after pandemic % change\": \"Availability Change After Pandemic\"})\n",
    "all_subgroups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "med_subgroups = pd.read_csv(\"med_subgroups.csv\")\n",
    "med_subgroups[\"TM_Score\"] = med_subgroups[\"telemed before and after pandemic % change\"] / med_subgroups[\"%scheduled of available telemed\"]\n",
    "med_subgroups = med_subgroups.rename(columns={\"%scheduled of available telemed\": \"Scheduled Telemed\", \"telemed before and after pandemic % change\": \"Availability Change After Pandemic\"})\n",
    "med_subgroups.plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Scheduled Telemed', ylabel='Availability Change After Pandemic'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Scheduled Telemed', ylabel='Availability Change After Pandemic'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_subgroups.plot(kind=\"scatter\", x=\"Scheduled Telemed\", y=\"Availability Change After Pandemic\", color=\"navy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Subgroup', ylabel='Scheduled Telemed'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Subgroup', ylabel='Scheduled Telemed'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots()\n",
    "ax.set_ylim([70, 90])\n",
    "ax.tick_params(rotation=15)\n",
    "\n",
    "\n",
    "sns.barplot(data=med_subgroups, x=\"Subgroup\", y=\"Scheduled Telemed\", ax=ax, palette=sns.color_palette(\"bright\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Subgroup', ylabel='Availability Change After Pandemic'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Subgroup', ylabel='Availability Change After Pandemic'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots()\n",
    "#ax.set_ylim(, 250])\n",
    "ax.tick_params(rotation=15)\n",
    "\n",
    "\n",
    "sns.barplot(data=med_subgroups, x=\"Subgroup\", y=\"Availability Change After Pandemic\", ax=ax, palette=sns.color_palette(\"bright\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Volume in drive C is Local Disk\n",
      " Volume Serial Number is 08E8-E981\n",
      "\n",
      " Directory of C:\\Users\\jacob\\OneDrive\\Documents\\GitHub\\Titans-Rice-Datathon-2021\n",
      "\n",
      "02/06/2021  01:27 PM    <DIR>          .\n",
      "02/06/2021  01:27 PM    <DIR>          ..\n",
      "02/06/2021  01:15 PM    <DIR>          .ipynb_checkpoints\n",
      "02/06/2021  11:05 AM               965 all_subgroups.csv\n",
      "02/05/2021  08:33 PM           114,681 Bibliometrix-Export-File-telemedicine-trade_journal.xlsx\n",
      "02/05/2021  10:39 PM           642,279 Cen2010Harris_BG_v01.csv\n",
      "02/05/2021  10:39 PM        11,183,669 Cen2010Harris_Blk_v01.csv\n",
      "02/05/2021  10:42 PM           243,611 Cen2010Harris_Trt_v01.csv\n",
      "02/06/2021  11:26 AM           958,575 EDA_journals.ipynb\n",
      "02/06/2021  09:58 AM           297,343 final_dat.csv\n",
      "02/06/2021  12:12 PM           120,307 forscoring.csv Volume in drive C is Local Disk\n",
      " Volume Serial Number is 08E8-E981\n",
      "\n",
      " Directory of C:\\Users\\jacob\\OneDrive\\Documents\\GitHub\\Titans-Rice-Datathon-2021\n",
      "\n",
      "02/06/2021  01:27 PM    <DIR>          .\n",
      "02/06/2021  01:27 PM    <DIR>          ..\n",
      "02/06/2021  01:15 PM    <DIR>          .ipynb_checkpoints\n",
      "02/06/2021  11:05 AM               965 all_subgroups.csv\n",
      "02/05/2021  08:33 PM           114,681 Bibliometrix-Export-File-telemedicine-trade_journal.xlsx\n",
      "02/05/2021  10:39 PM           642,279 Cen2010Harris_BG_v01.csv\n",
      "02/05/2021  10:39 PM        11,183,669 Cen2010Harris_Blk_v01.csv\n",
      "02/05/2021  10:42 PM           243,611 Cen2010Harris_Trt_v01.csv\n",
      "02/06/2021  11:26 AM           958,575 EDA_journals.ipynb\n",
      "02/06/2021  09:58 AM           297,343 final_dat.csv\n",
      "02/06/2021  12:12 PM           120,307 forscoring.csv\n",
      "02/06/2021  01:15 PM             5,860 HOSPITALSFINAL.csv\n",
      "02/06/2021  08:31 AM            19,863 houston-texas-hospitals.csv\n",
      "02/06/2021  12:12 PM            13,659 htx_demo.ipynb\n",
      "02/05/2021  10:39 PM            15,310 Market Share of Accident or Health Insurance.xlsx\n",
      "02/06/2021  11:05 AM               240 med_subgroups.csv\n",
      "02/05/2021  06:40 PM               185 README.md\n",
      "02/06/2021  01:15 PM           167,590 ready2weigh.csv\n",
      "02/06/2021  12:12 PM            14,312 survey_summary.xlsx\n",
      "02/05/2021  07:08 PM           275,125 telemedicine-journal-publications.csv\n",
      "02/06/2021  01:15 PM           295,247 telemed_survey.ipynb\n",
      "02/06/2021  09:58 AM    <DIR>          tl_2019_48_bg\n",
      "02/05/2021  10:55 PM                 5 tl_2019_48_tract.cpg\n",
      "02/05/2021  10:55 PM           563,773 tl_2019_48_tract.dbf\n",
      "02/05/2021  10:55 PM               165 tl_2019_48_tract.prj\n",
      "02/05/2021  10:55 PM        47,155,376 tl_2019_48_tract.shp\n",
      "02/05/2021  10:55 PM            22,142 tl_2019_48_tract.shp.ea.iso.xml\n",
      "02/05/2021  10:55 PM            39,724 tl_2019_48_tract.shp.iso.xml\n",
      "02/05/2021  10:55 PM            42,220 tl_2019_48_tract.shx\n",
      "02/06/2021  01:18 PM            28,003 track_LOT.csv\n",
      "02/06/2021  08:46 AM           285,536 tract_shapes_florida.html\n",
      "02/06/2021  01:27 PM           211,368 triage_viz.ipynb\n",
      "02/05/2021  08:33 PM            51,056 Use_of_Telemedicine_During_COVID-19.csv\n",
      "              29 File(s)     62,768,189 bytes\n",
      "               4 Dir(s)  82,448,936,960 bytes free\n",
      "\n",
      "02/06/2021  01:15 PM             5,860 HOSPITALSFINAL.csv\n",
      "02/06/2021  08:31 AM            19,863 houston-texas-hospitals.csv\n",
      "02/06/2021  12:12 PM            13,659 htx_demo.ipynb\n",
      "02/05/2021  10:39 PM            15,310 Market Share of Accident or Health Insurance.xlsx\n",
      "02/06/2021  11:05 AM               240 med_subgroups.csv\n",
      "02/05/2021  06:40 PM               185 README.md\n",
      "02/06/2021  01:15 PM           167,590 ready2weigh.csv\n",
      "02/06/2021  12:12 PM            14,312 survey_summary.xlsx\n",
      "02/05/2021  07:08 PM           275,125 telemedicine-journal-publications.csv\n",
      "02/06/2021  01:15 PM           295,247 telemed_survey.ipynb\n",
      "02/06/2021  09:58 AM    <DIR>          tl_2019_48_bg\n",
      "02/05/2021  10:55 PM                 5 tl_2019_48_tract.cpg\n",
      "02/05/2021  10:55 PM           563,773 tl_2019_48_tract.dbf\n",
      "02/05/2021  10:55 PM               165 tl_2019_48_tract.prj\n",
      "02/05/2021  10:55 PM        47,155,376 tl_2019_48_tract.shp\n",
      "02/05/2021  10:55 PM            22,142 tl_2019_48_tract.shp.ea.iso.xml\n",
      "02/05/2021  10:55 PM            39,724 tl_2019_48_tract.shp.iso.xml\n",
      "02/05/2021  10:55 PM            42,220 tl_2019_48_tract.shx\n",
      "02/06/2021  01:18 PM            28,003 track_LOT.csv\n",
      "02/06/2021  08:46 AM           285,536 tract_shapes_florida.html\n",
      "02/06/2021  01:27 PM           211,368 triage_viz.ipynb\n",
      "02/05/2021  08:33 PM            51,056 Use_of_Telemedicine_During_COVID-19.csv\n",
      "              29 File(s)     62,768,189 bytes\n",
      "               4 Dir(s)  82,448,936,960 bytes free\n"
     ]
    }
   ],
   "source": [
    "!dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>LOT</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>3</td>\n",
       "      <td>29.757283</td>\n",
       "      <td>-95.362731</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>2</td>\n",
       "      <td>29.766385</td>\n",
       "      <td>-95.351304</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>29.786450</td>\n",
       "      <td>-95.362207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>29.795258</td>\n",
       "      <td>-95.360383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>29.807040</td>\n",
       "      <td>-95.365360</td>\n",
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       "      <td>30.009967</td>\n",
       "      <td>-95.740363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>782</td>\n",
       "      <td>5</td>\n",
       "      <td>30.008978</td>\n",
       "      <td>-95.761355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>783</td>\n",
       "      <td>4</td>\n",
       "      <td>30.077582</td>\n",
       "      <td>-95.851475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>784</td>\n",
       "      <td>3</td>\n",
       "      <td>29.647155</td>\n",
       "      <td>-95.276204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>785</td>\n",
       "      <td>2</td>\n",
       "      <td>29.985395</td>\n",
       "      <td>-95.346211</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>786 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  LOT        Lat       Long\n",
       "0             0    3  29.757283 -95.362731\n",
       "1             1    2  29.766385 -95.351304\n",
       "2             2    3  29.786450 -95.362207\n",
       "3             3    3  29.795258 -95.360383\n",
       "4             4    3  29.807040 -95.365360\n",
       "..          ...  ...        ...        ...\n",
       "781         781    5  30.009967 -95.740363\n",
       "782         782    5  30.008978 -95.761355\n",
       "783         783    4  30.077582 -95.851475\n",
       "784         784    3  29.647155 -95.276204\n",
       "785         785    2  29.985395 -95.346211\n",
       "\n",
       "[786 rows x 4 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>LOT</th>\n",
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       "      <th>Long</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>-95.362731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
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       "      <td>29.766385</td>\n",
       "      <td>-95.351304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>29.786450</td>\n",
       "      <td>-95.362207</td>\n",
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       "    <tr>\n",
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       "      <td>3</td>\n",
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       "      <td>29.795258</td>\n",
       "      <td>-95.360383</td>\n",
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       "      <th>4</th>\n",
       "      <td>4</td>\n",
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       "      <td>29.807040</td>\n",
       "      <td>-95.365360</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>30.009967</td>\n",
       "      <td>-95.740363</td>\n",
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       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>782</td>\n",
       "      <td>5</td>\n",
       "      <td>30.008978</td>\n",
       "      <td>-95.761355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>783</td>\n",
       "      <td>4</td>\n",
       "      <td>30.077582</td>\n",
       "      <td>-95.851475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>784</td>\n",
       "      <td>3</td>\n",
       "      <td>29.647155</td>\n",
       "      <td>-95.276204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>785</td>\n",
       "      <td>2</td>\n",
       "      <td>29.985395</td>\n",
       "      <td>-95.346211</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>786 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  LOT        Lat       Long\n",
       "0             0    3  29.757283 -95.362731\n",
       "1             1    2  29.766385 -95.351304\n",
       "2             2    3  29.786450 -95.362207\n",
       "3             3    3  29.795258 -95.360383\n",
       "4             4    3  29.807040 -95.365360\n",
       "..          ...  ...        ...        ...\n",
       "781         781    5  30.009967 -95.740363\n",
       "782         782    5  30.008978 -95.761355\n",
       "783         783    4  30.077582 -95.851475\n",
       "784         784    3  29.647155 -95.276204\n",
       "785         785    2  29.985395 -95.346211\n",
       "\n",
       "[786 rows x 4 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tract_LOT = pd.read_csv(\"track_LOT.csv\")\n",
    "tract_LOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "cmap_bold = ListedColormap(['#FF0000', '#00FF00','#00AAFF', '#f6c745', '#f6ec02', '#56338c', '#006400'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2e7037aa5e0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2e7037aa5e0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x = \"Long\", y = \"Lat\", c=\"LOT\", cmap=cmap_bold, data=tract_LOT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Longitude', ylabel='Latitude'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Longitude', ylabel='Latitude'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.read_csv(\"HOSPITALSFINAL.csv\").plot(kind=\"scatter\", x=\"Longitude\", y=\"Latitude\", color=\"black\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}