Covid_Social_Mobility.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Covid_Social_Mobility.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNrcT/X/ZUuS8mulkc0wplY",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Colsai/Covid-Visualizations-And-Trends/blob/main/Covid_Social_Mobility.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c-sC85UEyYwm"
      },
      "source": [
        "#Datetime To Convert Dates\n",
        "from datetime import datetime\n",
        "\n",
        "#Import Packages for Data\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import scipy as sci\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.preprocessing import scale\n",
        "import statistics"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y62ZeUNnyZgx"
      },
      "source": [
        "#Seaborn/Matplotlib basic stats\n",
        "sns.set(style=\"ticks\")\n",
        "plt.style.use('seaborn-white')"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JyHgO-c9ybMT"
      },
      "source": [
        "#Descartes Labs- Mobility Data\n",
        "site = 'https://raw.githubusercontent.com/descarteslabs/DL-COVID-19/master/DL-us-m50.csv'\n",
        "df = pd.read_csv(site)"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "Ua6OJFthyqmm",
        "outputId": "ba5ec856-f21b-4dcf-d5c8-7d1b0efe1b03"
      },
      "source": [
        "#Head of the data set\n",
        "df.head()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
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              "      <th>admin1</th>\n",
              "      <th>admin2</th>\n",
              "      <th>fips</th>\n",
              "      <th>2020-03-01</th>\n",
              "      <th>2020-03-02</th>\n",
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              "      <th>2020-03-04</th>\n",
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              "      <th>2020-03-26</th>\n",
              "      <th>2020-03-27</th>\n",
              "      <th>2020-03-28</th>\n",
              "      <th>2020-03-29</th>\n",
              "      <th>2020-03-30</th>\n",
              "      <th>2020-03-31</th>\n",
              "      <th>2020-04-01</th>\n",
              "      <th>2020-04-02</th>\n",
              "      <th>2020-04-03</th>\n",
              "      <th>2020-04-04</th>\n",
              "      <th>...</th>\n",
              "      <th>2020-10-21</th>\n",
              "      <th>2020-10-22</th>\n",
              "      <th>2020-10-23</th>\n",
              "      <th>2020-10-24</th>\n",
              "      <th>2020-10-25</th>\n",
              "      <th>2020-10-26</th>\n",
              "      <th>2020-10-27</th>\n",
              "      <th>2020-10-28</th>\n",
              "      <th>2020-10-29</th>\n",
              "      <th>2020-10-30</th>\n",
              "      <th>2020-10-31</th>\n",
              "      <th>2020-11-01</th>\n",
              "      <th>2020-11-02</th>\n",
              "      <th>2020-11-03</th>\n",
              "      <th>2020-11-04</th>\n",
              "      <th>2020-11-05</th>\n",
              "      <th>2020-11-06</th>\n",
              "      <th>2020-11-07</th>\n",
              "      <th>2020-11-08</th>\n",
              "      <th>2020-11-09</th>\n",
              "      <th>2020-11-10</th>\n",
              "      <th>2020-11-11</th>\n",
              "      <th>2020-11-12</th>\n",
              "      <th>2020-11-13</th>\n",
              "      <th>2020-11-14</th>\n",
              "      <th>2020-11-15</th>\n",
              "      <th>2020-11-16</th>\n",
              "      <th>2020-11-17</th>\n",
              "      <th>2020-11-18</th>\n",
              "      <th>2020-11-19</th>\n",
              "      <th>2020-11-20</th>\n",
              "      <th>2020-11-21</th>\n",
              "      <th>2020-11-22</th>\n",
              "      <th>2020-11-23</th>\n",
              "      <th>2020-11-24</th>\n",
              "      <th>2020-11-25</th>\n",
              "      <th>2020-11-26</th>\n",
              "      <th>2020-11-27</th>\n",
              "      <th>2020-11-28</th>\n",
              "      <th>2020-11-29</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>US</td>\n",
              "      <td>1</td>\n",
              "      <td>Alabama</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8.331</td>\n",
              "      <td>10.398</td>\n",
              "      <td>10.538</td>\n",
              "      <td>10.144</td>\n",
              "      <td>10.982</td>\n",
              "      <td>13.024</td>\n",
              "      <td>11.373</td>\n",
              "      <td>8.513</td>\n",
              "      <td>10.901</td>\n",
              "      <td>10.892</td>\n",
              "      <td>10.954</td>\n",
              "      <td>11.755</td>\n",
              "      <td>12.269</td>\n",
              "      <td>9.379</td>\n",
              "      <td>6.384</td>\n",
              "      <td>9.490</td>\n",
              "      <td>8.263</td>\n",
              "      <td>7.662</td>\n",
              "      <td>7.863</td>\n",
              "      <td>8.325</td>\n",
              "      <td>5.233</td>\n",
              "      <td>2.903</td>\n",
              "      <td>5.398</td>\n",
              "      <td>5.519</td>\n",
              "      <td>6.305</td>\n",
              "      <td>6.363</td>\n",
              "      <td>6.956</td>\n",
              "      <td>4.772</td>\n",
              "      <td>2.739</td>\n",
              "      <td>5.148</td>\n",
              "      <td>4.490</td>\n",
              "      <td>5.619</td>\n",
              "      <td>5.876</td>\n",
              "      <td>6.624</td>\n",
              "      <td>4.241</td>\n",
              "      <td>...</td>\n",
              "      <td>9.980</td>\n",
              "      <td>9.908</td>\n",
              "      <td>11.684</td>\n",
              "      <td>8.053</td>\n",
              "      <td>6.684</td>\n",
              "      <td>8.868</td>\n",
              "      <td>9.398</td>\n",
              "      <td>8.766</td>\n",
              "      <td>9.253</td>\n",
              "      <td>11.410</td>\n",
              "      <td>8.896</td>\n",
              "      <td>6.870</td>\n",
              "      <td>8.917</td>\n",
              "      <td>9.278</td>\n",
              "      <td>10.071</td>\n",
              "      <td>9.666</td>\n",
              "      <td>11.000</td>\n",
              "      <td>9.240</td>\n",
              "      <td>6.882</td>\n",
              "      <td>8.321</td>\n",
              "      <td>9.877</td>\n",
              "      <td>9.089</td>\n",
              "      <td>9.488</td>\n",
              "      <td>11.288</td>\n",
              "      <td>9.730</td>\n",
              "      <td>6.958</td>\n",
              "      <td>8.688</td>\n",
              "      <td>9.370</td>\n",
              "      <td>10.306</td>\n",
              "      <td>10.695</td>\n",
              "      <td>11.892</td>\n",
              "      <td>9.853</td>\n",
              "      <td>7.514</td>\n",
              "      <td>9.253</td>\n",
              "      <td>10.294</td>\n",
              "      <td>9.864</td>\n",
              "      <td>6.114</td>\n",
              "      <td>8.273</td>\n",
              "      <td>7.160</td>\n",
              "      <td>5.223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Alabama</td>\n",
              "      <td>Autauga County</td>\n",
              "      <td>1001.0</td>\n",
              "      <td>7.194</td>\n",
              "      <td>14.587</td>\n",
              "      <td>13.865</td>\n",
              "      <td>13.880</td>\n",
              "      <td>14.659</td>\n",
              "      <td>17.066</td>\n",
              "      <td>11.562</td>\n",
              "      <td>8.510</td>\n",
              "      <td>15.882</td>\n",
              "      <td>14.429</td>\n",
              "      <td>14.484</td>\n",
              "      <td>15.707</td>\n",
              "      <td>15.103</td>\n",
              "      <td>8.297</td>\n",
              "      <td>5.488</td>\n",
              "      <td>11.726</td>\n",
              "      <td>10.317</td>\n",
              "      <td>9.624</td>\n",
              "      <td>8.482</td>\n",
              "      <td>9.838</td>\n",
              "      <td>4.694</td>\n",
              "      <td>2.271</td>\n",
              "      <td>6.438</td>\n",
              "      <td>7.030</td>\n",
              "      <td>6.912</td>\n",
              "      <td>6.731</td>\n",
              "      <td>7.601</td>\n",
              "      <td>4.540</td>\n",
              "      <td>2.633</td>\n",
              "      <td>5.896</td>\n",
              "      <td>5.196</td>\n",
              "      <td>6.278</td>\n",
              "      <td>6.230</td>\n",
              "      <td>7.470</td>\n",
              "      <td>4.006</td>\n",
              "      <td>...</td>\n",
              "      <td>11.757</td>\n",
              "      <td>11.570</td>\n",
              "      <td>13.286</td>\n",
              "      <td>6.866</td>\n",
              "      <td>5.692</td>\n",
              "      <td>9.670</td>\n",
              "      <td>11.121</td>\n",
              "      <td>11.131</td>\n",
              "      <td>9.503</td>\n",
              "      <td>13.419</td>\n",
              "      <td>8.362</td>\n",
              "      <td>6.555</td>\n",
              "      <td>10.455</td>\n",
              "      <td>11.010</td>\n",
              "      <td>12.833</td>\n",
              "      <td>13.433</td>\n",
              "      <td>15.168</td>\n",
              "      <td>8.325</td>\n",
              "      <td>6.251</td>\n",
              "      <td>9.831</td>\n",
              "      <td>12.809</td>\n",
              "      <td>10.958</td>\n",
              "      <td>11.216</td>\n",
              "      <td>13.127</td>\n",
              "      <td>9.087</td>\n",
              "      <td>5.939</td>\n",
              "      <td>9.618</td>\n",
              "      <td>12.572</td>\n",
              "      <td>13.906</td>\n",
              "      <td>14.860</td>\n",
              "      <td>15.327</td>\n",
              "      <td>10.046</td>\n",
              "      <td>6.858</td>\n",
              "      <td>11.082</td>\n",
              "      <td>13.125</td>\n",
              "      <td>10.897</td>\n",
              "      <td>5.980</td>\n",
              "      <td>7.041</td>\n",
              "      <td>6.975</td>\n",
              "      <td>4.468</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Alabama</td>\n",
              "      <td>Baldwin County</td>\n",
              "      <td>1003.0</td>\n",
              "      <td>9.780</td>\n",
              "      <td>12.042</td>\n",
              "      <td>11.481</td>\n",
              "      <td>10.879</td>\n",
              "      <td>12.381</td>\n",
              "      <td>13.789</td>\n",
              "      <td>11.481</td>\n",
              "      <td>9.971</td>\n",
              "      <td>11.566</td>\n",
              "      <td>11.936</td>\n",
              "      <td>12.102</td>\n",
              "      <td>12.588</td>\n",
              "      <td>13.547</td>\n",
              "      <td>10.871</td>\n",
              "      <td>9.601</td>\n",
              "      <td>9.538</td>\n",
              "      <td>8.747</td>\n",
              "      <td>8.510</td>\n",
              "      <td>8.580</td>\n",
              "      <td>11.389</td>\n",
              "      <td>6.710</td>\n",
              "      <td>4.281</td>\n",
              "      <td>6.645</td>\n",
              "      <td>6.422</td>\n",
              "      <td>6.630</td>\n",
              "      <td>6.618</td>\n",
              "      <td>7.402</td>\n",
              "      <td>5.500</td>\n",
              "      <td>3.148</td>\n",
              "      <td>5.241</td>\n",
              "      <td>4.999</td>\n",
              "      <td>6.054</td>\n",
              "      <td>5.954</td>\n",
              "      <td>6.758</td>\n",
              "      <td>4.392</td>\n",
              "      <td>...</td>\n",
              "      <td>10.370</td>\n",
              "      <td>10.370</td>\n",
              "      <td>11.964</td>\n",
              "      <td>9.052</td>\n",
              "      <td>8.372</td>\n",
              "      <td>9.642</td>\n",
              "      <td>9.926</td>\n",
              "      <td>7.776</td>\n",
              "      <td>8.138</td>\n",
              "      <td>11.214</td>\n",
              "      <td>8.854</td>\n",
              "      <td>7.114</td>\n",
              "      <td>9.492</td>\n",
              "      <td>9.476</td>\n",
              "      <td>10.773</td>\n",
              "      <td>10.372</td>\n",
              "      <td>10.924</td>\n",
              "      <td>10.025</td>\n",
              "      <td>8.603</td>\n",
              "      <td>8.875</td>\n",
              "      <td>10.650</td>\n",
              "      <td>10.150</td>\n",
              "      <td>9.966</td>\n",
              "      <td>11.922</td>\n",
              "      <td>9.654</td>\n",
              "      <td>8.621</td>\n",
              "      <td>9.285</td>\n",
              "      <td>9.494</td>\n",
              "      <td>10.732</td>\n",
              "      <td>11.266</td>\n",
              "      <td>12.166</td>\n",
              "      <td>9.895</td>\n",
              "      <td>7.953</td>\n",
              "      <td>9.729</td>\n",
              "      <td>10.492</td>\n",
              "      <td>10.264</td>\n",
              "      <td>4.851</td>\n",
              "      <td>8.681</td>\n",
              "      <td>8.314</td>\n",
              "      <td>6.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Alabama</td>\n",
              "      <td>Barbour County</td>\n",
              "      <td>1005.0</td>\n",
              "      <td>8.348</td>\n",
              "      <td>10.004</td>\n",
              "      <td>9.267</td>\n",
              "      <td>6.517</td>\n",
              "      <td>8.247</td>\n",
              "      <td>11.002</td>\n",
              "      <td>13.146</td>\n",
              "      <td>7.382</td>\n",
              "      <td>9.166</td>\n",
              "      <td>8.668</td>\n",
              "      <td>9.596</td>\n",
              "      <td>11.567</td>\n",
              "      <td>11.258</td>\n",
              "      <td>9.522</td>\n",
              "      <td>5.416</td>\n",
              "      <td>9.632</td>\n",
              "      <td>8.556</td>\n",
              "      <td>7.252</td>\n",
              "      <td>7.009</td>\n",
              "      <td>7.459</td>\n",
              "      <td>6.228</td>\n",
              "      <td>3.624</td>\n",
              "      <td>6.060</td>\n",
              "      <td>6.743</td>\n",
              "      <td>6.645</td>\n",
              "      <td>7.015</td>\n",
              "      <td>7.994</td>\n",
              "      <td>5.284</td>\n",
              "      <td>4.850</td>\n",
              "      <td>6.412</td>\n",
              "      <td>5.479</td>\n",
              "      <td>5.840</td>\n",
              "      <td>5.495</td>\n",
              "      <td>6.155</td>\n",
              "      <td>5.184</td>\n",
              "      <td>...</td>\n",
              "      <td>8.550</td>\n",
              "      <td>9.178</td>\n",
              "      <td>12.187</td>\n",
              "      <td>7.230</td>\n",
              "      <td>6.634</td>\n",
              "      <td>8.180</td>\n",
              "      <td>8.858</td>\n",
              "      <td>8.504</td>\n",
              "      <td>8.386</td>\n",
              "      <td>13.138</td>\n",
              "      <td>8.410</td>\n",
              "      <td>5.980</td>\n",
              "      <td>9.754</td>\n",
              "      <td>8.644</td>\n",
              "      <td>8.255</td>\n",
              "      <td>8.920</td>\n",
              "      <td>10.372</td>\n",
              "      <td>8.006</td>\n",
              "      <td>6.834</td>\n",
              "      <td>7.487</td>\n",
              "      <td>8.587</td>\n",
              "      <td>7.835</td>\n",
              "      <td>8.456</td>\n",
              "      <td>10.458</td>\n",
              "      <td>9.815</td>\n",
              "      <td>7.011</td>\n",
              "      <td>8.324</td>\n",
              "      <td>8.062</td>\n",
              "      <td>9.422</td>\n",
              "      <td>9.681</td>\n",
              "      <td>13.157</td>\n",
              "      <td>9.128</td>\n",
              "      <td>7.325</td>\n",
              "      <td>8.762</td>\n",
              "      <td>9.851</td>\n",
              "      <td>10.030</td>\n",
              "      <td>4.789</td>\n",
              "      <td>8.895</td>\n",
              "      <td>7.042</td>\n",
              "      <td>6.310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Alabama</td>\n",
              "      <td>Bibb County</td>\n",
              "      <td>1007.0</td>\n",
              "      <td>13.008</td>\n",
              "      <td>23.076</td>\n",
              "      <td>24.164</td>\n",
              "      <td>22.768</td>\n",
              "      <td>26.944</td>\n",
              "      <td>32.374</td>\n",
              "      <td>27.175</td>\n",
              "      <td>12.452</td>\n",
              "      <td>29.973</td>\n",
              "      <td>24.206</td>\n",
              "      <td>27.877</td>\n",
              "      <td>26.126</td>\n",
              "      <td>29.176</td>\n",
              "      <td>17.004</td>\n",
              "      <td>13.342</td>\n",
              "      <td>16.496</td>\n",
              "      <td>17.370</td>\n",
              "      <td>19.282</td>\n",
              "      <td>18.225</td>\n",
              "      <td>18.496</td>\n",
              "      <td>6.752</td>\n",
              "      <td>3.581</td>\n",
              "      <td>8.878</td>\n",
              "      <td>12.335</td>\n",
              "      <td>13.569</td>\n",
              "      <td>11.518</td>\n",
              "      <td>13.157</td>\n",
              "      <td>8.580</td>\n",
              "      <td>4.140</td>\n",
              "      <td>10.346</td>\n",
              "      <td>9.363</td>\n",
              "      <td>10.754</td>\n",
              "      <td>10.873</td>\n",
              "      <td>14.236</td>\n",
              "      <td>7.384</td>\n",
              "      <td>...</td>\n",
              "      <td>15.967</td>\n",
              "      <td>19.658</td>\n",
              "      <td>20.764</td>\n",
              "      <td>10.264</td>\n",
              "      <td>8.629</td>\n",
              "      <td>15.642</td>\n",
              "      <td>17.376</td>\n",
              "      <td>15.075</td>\n",
              "      <td>15.272</td>\n",
              "      <td>20.899</td>\n",
              "      <td>13.873</td>\n",
              "      <td>10.613</td>\n",
              "      <td>12.624</td>\n",
              "      <td>14.800</td>\n",
              "      <td>15.509</td>\n",
              "      <td>15.935</td>\n",
              "      <td>21.178</td>\n",
              "      <td>17.072</td>\n",
              "      <td>7.701</td>\n",
              "      <td>13.311</td>\n",
              "      <td>18.842</td>\n",
              "      <td>16.343</td>\n",
              "      <td>15.032</td>\n",
              "      <td>20.906</td>\n",
              "      <td>16.113</td>\n",
              "      <td>10.162</td>\n",
              "      <td>15.468</td>\n",
              "      <td>16.844</td>\n",
              "      <td>17.496</td>\n",
              "      <td>17.328</td>\n",
              "      <td>26.392</td>\n",
              "      <td>16.463</td>\n",
              "      <td>10.120</td>\n",
              "      <td>16.685</td>\n",
              "      <td>19.460</td>\n",
              "      <td>16.436</td>\n",
              "      <td>9.067</td>\n",
              "      <td>12.980</td>\n",
              "      <td>12.810</td>\n",
              "      <td>7.174</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 276 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "  country_code  admin_level   admin1  ... 2020-11-27  2020-11-28  2020-11-29\n",
              "0           US            1  Alabama  ...      8.273       7.160       5.223\n",
              "1           US            2  Alabama  ...      7.041       6.975       4.468\n",
              "2           US            2  Alabama  ...      8.681       8.314       6.200\n",
              "3           US            2  Alabama  ...      8.895       7.042       6.310\n",
              "4           US            2  Alabama  ...     12.980      12.810       7.174\n",
              "\n",
              "[5 rows x 276 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "id": "LfxjaGFPytCO",
        "outputId": "8f9f5b78-27df-42a3-f2a9-05bfea418d68"
      },
      "source": [
        "#End of the Data Set\n",
        "df.tail()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "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>country_code</th>\n",
              "      <th>admin_level</th>\n",
              "      <th>admin1</th>\n",
              "      <th>admin2</th>\n",
              "      <th>fips</th>\n",
              "      <th>2020-03-01</th>\n",
              "      <th>2020-03-02</th>\n",
              "      <th>2020-03-03</th>\n",
              "      <th>2020-03-04</th>\n",
              "      <th>2020-03-05</th>\n",
              "      <th>2020-03-06</th>\n",
              "      <th>2020-03-07</th>\n",
              "      <th>2020-03-08</th>\n",
              "      <th>2020-03-09</th>\n",
              "      <th>2020-03-10</th>\n",
              "      <th>2020-03-11</th>\n",
              "      <th>2020-03-12</th>\n",
              "      <th>2020-03-13</th>\n",
              "      <th>2020-03-14</th>\n",
              "      <th>2020-03-15</th>\n",
              "      <th>2020-03-16</th>\n",
              "      <th>2020-03-17</th>\n",
              "      <th>2020-03-18</th>\n",
              "      <th>2020-03-19</th>\n",
              "      <th>2020-03-20</th>\n",
              "      <th>2020-03-21</th>\n",
              "      <th>2020-03-22</th>\n",
              "      <th>2020-03-23</th>\n",
              "      <th>2020-03-24</th>\n",
              "      <th>2020-03-25</th>\n",
              "      <th>2020-03-26</th>\n",
              "      <th>2020-03-27</th>\n",
              "      <th>2020-03-28</th>\n",
              "      <th>2020-03-29</th>\n",
              "      <th>2020-03-30</th>\n",
              "      <th>2020-03-31</th>\n",
              "      <th>2020-04-01</th>\n",
              "      <th>2020-04-02</th>\n",
              "      <th>2020-04-03</th>\n",
              "      <th>2020-04-04</th>\n",
              "      <th>...</th>\n",
              "      <th>2020-10-21</th>\n",
              "      <th>2020-10-22</th>\n",
              "      <th>2020-10-23</th>\n",
              "      <th>2020-10-24</th>\n",
              "      <th>2020-10-25</th>\n",
              "      <th>2020-10-26</th>\n",
              "      <th>2020-10-27</th>\n",
              "      <th>2020-10-28</th>\n",
              "      <th>2020-10-29</th>\n",
              "      <th>2020-10-30</th>\n",
              "      <th>2020-10-31</th>\n",
              "      <th>2020-11-01</th>\n",
              "      <th>2020-11-02</th>\n",
              "      <th>2020-11-03</th>\n",
              "      <th>2020-11-04</th>\n",
              "      <th>2020-11-05</th>\n",
              "      <th>2020-11-06</th>\n",
              "      <th>2020-11-07</th>\n",
              "      <th>2020-11-08</th>\n",
              "      <th>2020-11-09</th>\n",
              "      <th>2020-11-10</th>\n",
              "      <th>2020-11-11</th>\n",
              "      <th>2020-11-12</th>\n",
              "      <th>2020-11-13</th>\n",
              "      <th>2020-11-14</th>\n",
              "      <th>2020-11-15</th>\n",
              "      <th>2020-11-16</th>\n",
              "      <th>2020-11-17</th>\n",
              "      <th>2020-11-18</th>\n",
              "      <th>2020-11-19</th>\n",
              "      <th>2020-11-20</th>\n",
              "      <th>2020-11-21</th>\n",
              "      <th>2020-11-22</th>\n",
              "      <th>2020-11-23</th>\n",
              "      <th>2020-11-24</th>\n",
              "      <th>2020-11-25</th>\n",
              "      <th>2020-11-26</th>\n",
              "      <th>2020-11-27</th>\n",
              "      <th>2020-11-28</th>\n",
              "      <th>2020-11-29</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2717</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Sheridan County</td>\n",
              "      <td>56033.0</td>\n",
              "      <td>2.122</td>\n",
              "      <td>3.116</td>\n",
              "      <td>3.308</td>\n",
              "      <td>3.475</td>\n",
              "      <td>3.806</td>\n",
              "      <td>3.809</td>\n",
              "      <td>2.764</td>\n",
              "      <td>2.486</td>\n",
              "      <td>3.245</td>\n",
              "      <td>3.535</td>\n",
              "      <td>3.630</td>\n",
              "      <td>3.033</td>\n",
              "      <td>3.689</td>\n",
              "      <td>2.666</td>\n",
              "      <td>1.502</td>\n",
              "      <td>2.924</td>\n",
              "      <td>2.671</td>\n",
              "      <td>2.561</td>\n",
              "      <td>2.404</td>\n",
              "      <td>2.638</td>\n",
              "      <td>1.193</td>\n",
              "      <td>0.129</td>\n",
              "      <td>2.271</td>\n",
              "      <td>2.459</td>\n",
              "      <td>2.354</td>\n",
              "      <td>2.350</td>\n",
              "      <td>2.570</td>\n",
              "      <td>0.956</td>\n",
              "      <td>0.919</td>\n",
              "      <td>2.656</td>\n",
              "      <td>1.940</td>\n",
              "      <td>1.337</td>\n",
              "      <td>2.136</td>\n",
              "      <td>2.208</td>\n",
              "      <td>1.294</td>\n",
              "      <td>...</td>\n",
              "      <td>3.020</td>\n",
              "      <td>2.418</td>\n",
              "      <td>3.268</td>\n",
              "      <td>0.740</td>\n",
              "      <td>0.473</td>\n",
              "      <td>2.807</td>\n",
              "      <td>2.992</td>\n",
              "      <td>3.114</td>\n",
              "      <td>3.164</td>\n",
              "      <td>2.981</td>\n",
              "      <td>2.419</td>\n",
              "      <td>1.273</td>\n",
              "      <td>2.804</td>\n",
              "      <td>3.018</td>\n",
              "      <td>3.030</td>\n",
              "      <td>3.223</td>\n",
              "      <td>2.843</td>\n",
              "      <td>2.408</td>\n",
              "      <td>0.873</td>\n",
              "      <td>2.406</td>\n",
              "      <td>3.086</td>\n",
              "      <td>2.979</td>\n",
              "      <td>2.877</td>\n",
              "      <td>2.813</td>\n",
              "      <td>1.676</td>\n",
              "      <td>1.705</td>\n",
              "      <td>2.522</td>\n",
              "      <td>3.002</td>\n",
              "      <td>3.154</td>\n",
              "      <td>3.276</td>\n",
              "      <td>3.272</td>\n",
              "      <td>2.140</td>\n",
              "      <td>1.377</td>\n",
              "      <td>2.639</td>\n",
              "      <td>3.181</td>\n",
              "      <td>2.733</td>\n",
              "      <td>0.441</td>\n",
              "      <td>2.101</td>\n",
              "      <td>1.976</td>\n",
              "      <td>1.866</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2718</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Sublette County</td>\n",
              "      <td>56035.0</td>\n",
              "      <td>0.857</td>\n",
              "      <td>3.604</td>\n",
              "      <td>3.625</td>\n",
              "      <td>4.022</td>\n",
              "      <td>6.674</td>\n",
              "      <td>5.150</td>\n",
              "      <td>5.630</td>\n",
              "      <td>2.535</td>\n",
              "      <td>5.688</td>\n",
              "      <td>3.947</td>\n",
              "      <td>5.366</td>\n",
              "      <td>4.409</td>\n",
              "      <td>6.203</td>\n",
              "      <td>2.672</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.816</td>\n",
              "      <td>0.886</td>\n",
              "      <td>0.953</td>\n",
              "      <td>1.227</td>\n",
              "      <td>0.844</td>\n",
              "      <td>0.219</td>\n",
              "      <td>0.042</td>\n",
              "      <td>1.014</td>\n",
              "      <td>0.482</td>\n",
              "      <td>1.273</td>\n",
              "      <td>0.348</td>\n",
              "      <td>0.307</td>\n",
              "      <td>0.140</td>\n",
              "      <td>...</td>\n",
              "      <td>6.916</td>\n",
              "      <td>7.466</td>\n",
              "      <td>11.514</td>\n",
              "      <td>7.150</td>\n",
              "      <td>1.388</td>\n",
              "      <td>2.754</td>\n",
              "      <td>4.453</td>\n",
              "      <td>4.039</td>\n",
              "      <td>6.201</td>\n",
              "      <td>5.278</td>\n",
              "      <td>5.127</td>\n",
              "      <td>0.730</td>\n",
              "      <td>2.514</td>\n",
              "      <td>3.883</td>\n",
              "      <td>3.014</td>\n",
              "      <td>6.106</td>\n",
              "      <td>3.052</td>\n",
              "      <td>3.161</td>\n",
              "      <td>1.047</td>\n",
              "      <td>2.454</td>\n",
              "      <td>5.308</td>\n",
              "      <td>2.820</td>\n",
              "      <td>2.459</td>\n",
              "      <td>4.176</td>\n",
              "      <td>1.660</td>\n",
              "      <td>0.788</td>\n",
              "      <td>1.840</td>\n",
              "      <td>3.330</td>\n",
              "      <td>4.952</td>\n",
              "      <td>8.012</td>\n",
              "      <td>8.078</td>\n",
              "      <td>6.750</td>\n",
              "      <td>1.996</td>\n",
              "      <td>2.350</td>\n",
              "      <td>9.176</td>\n",
              "      <td>8.095</td>\n",
              "      <td>0.227</td>\n",
              "      <td>1.119</td>\n",
              "      <td>2.359</td>\n",
              "      <td>1.205</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2719</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Sweetwater County</td>\n",
              "      <td>56037.0</td>\n",
              "      <td>1.780</td>\n",
              "      <td>3.069</td>\n",
              "      <td>3.351</td>\n",
              "      <td>3.450</td>\n",
              "      <td>4.696</td>\n",
              "      <td>5.742</td>\n",
              "      <td>3.542</td>\n",
              "      <td>2.554</td>\n",
              "      <td>3.740</td>\n",
              "      <td>4.054</td>\n",
              "      <td>4.389</td>\n",
              "      <td>5.010</td>\n",
              "      <td>4.790</td>\n",
              "      <td>4.019</td>\n",
              "      <td>3.329</td>\n",
              "      <td>4.150</td>\n",
              "      <td>4.152</td>\n",
              "      <td>4.082</td>\n",
              "      <td>3.500</td>\n",
              "      <td>2.961</td>\n",
              "      <td>2.738</td>\n",
              "      <td>2.098</td>\n",
              "      <td>3.708</td>\n",
              "      <td>3.632</td>\n",
              "      <td>3.082</td>\n",
              "      <td>3.011</td>\n",
              "      <td>3.302</td>\n",
              "      <td>1.901</td>\n",
              "      <td>1.712</td>\n",
              "      <td>2.817</td>\n",
              "      <td>3.352</td>\n",
              "      <td>3.160</td>\n",
              "      <td>2.656</td>\n",
              "      <td>3.242</td>\n",
              "      <td>2.088</td>\n",
              "      <td>...</td>\n",
              "      <td>4.302</td>\n",
              "      <td>4.198</td>\n",
              "      <td>4.799</td>\n",
              "      <td>3.349</td>\n",
              "      <td>0.558</td>\n",
              "      <td>3.281</td>\n",
              "      <td>3.801</td>\n",
              "      <td>3.973</td>\n",
              "      <td>4.326</td>\n",
              "      <td>3.963</td>\n",
              "      <td>3.421</td>\n",
              "      <td>2.048</td>\n",
              "      <td>3.419</td>\n",
              "      <td>3.578</td>\n",
              "      <td>4.103</td>\n",
              "      <td>3.604</td>\n",
              "      <td>3.815</td>\n",
              "      <td>2.755</td>\n",
              "      <td>1.435</td>\n",
              "      <td>2.602</td>\n",
              "      <td>4.209</td>\n",
              "      <td>3.138</td>\n",
              "      <td>4.157</td>\n",
              "      <td>3.529</td>\n",
              "      <td>1.773</td>\n",
              "      <td>1.588</td>\n",
              "      <td>2.891</td>\n",
              "      <td>3.684</td>\n",
              "      <td>3.435</td>\n",
              "      <td>4.742</td>\n",
              "      <td>4.240</td>\n",
              "      <td>3.811</td>\n",
              "      <td>2.384</td>\n",
              "      <td>3.036</td>\n",
              "      <td>3.232</td>\n",
              "      <td>3.023</td>\n",
              "      <td>1.279</td>\n",
              "      <td>1.953</td>\n",
              "      <td>2.480</td>\n",
              "      <td>1.825</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2720</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Teton County</td>\n",
              "      <td>56039.0</td>\n",
              "      <td>8.747</td>\n",
              "      <td>6.298</td>\n",
              "      <td>5.952</td>\n",
              "      <td>6.210</td>\n",
              "      <td>5.961</td>\n",
              "      <td>7.800</td>\n",
              "      <td>8.503</td>\n",
              "      <td>9.067</td>\n",
              "      <td>6.773</td>\n",
              "      <td>6.760</td>\n",
              "      <td>7.446</td>\n",
              "      <td>7.861</td>\n",
              "      <td>8.596</td>\n",
              "      <td>4.978</td>\n",
              "      <td>4.256</td>\n",
              "      <td>5.144</td>\n",
              "      <td>4.361</td>\n",
              "      <td>2.564</td>\n",
              "      <td>3.872</td>\n",
              "      <td>3.139</td>\n",
              "      <td>1.356</td>\n",
              "      <td>0.712</td>\n",
              "      <td>1.649</td>\n",
              "      <td>1.260</td>\n",
              "      <td>0.889</td>\n",
              "      <td>1.917</td>\n",
              "      <td>1.682</td>\n",
              "      <td>0.292</td>\n",
              "      <td>0.086</td>\n",
              "      <td>1.504</td>\n",
              "      <td>0.438</td>\n",
              "      <td>1.134</td>\n",
              "      <td>0.774</td>\n",
              "      <td>0.890</td>\n",
              "      <td>0.940</td>\n",
              "      <td>...</td>\n",
              "      <td>10.452</td>\n",
              "      <td>10.451</td>\n",
              "      <td>20.358</td>\n",
              "      <td>6.760</td>\n",
              "      <td>2.997</td>\n",
              "      <td>7.583</td>\n",
              "      <td>9.087</td>\n",
              "      <td>9.468</td>\n",
              "      <td>8.078</td>\n",
              "      <td>9.846</td>\n",
              "      <td>6.869</td>\n",
              "      <td>6.022</td>\n",
              "      <td>5.657</td>\n",
              "      <td>7.134</td>\n",
              "      <td>5.947</td>\n",
              "      <td>8.149</td>\n",
              "      <td>7.069</td>\n",
              "      <td>7.316</td>\n",
              "      <td>4.235</td>\n",
              "      <td>4.503</td>\n",
              "      <td>6.523</td>\n",
              "      <td>3.736</td>\n",
              "      <td>5.737</td>\n",
              "      <td>5.156</td>\n",
              "      <td>3.498</td>\n",
              "      <td>1.908</td>\n",
              "      <td>3.760</td>\n",
              "      <td>4.377</td>\n",
              "      <td>5.599</td>\n",
              "      <td>5.892</td>\n",
              "      <td>6.628</td>\n",
              "      <td>6.627</td>\n",
              "      <td>3.132</td>\n",
              "      <td>4.694</td>\n",
              "      <td>7.298</td>\n",
              "      <td>5.849</td>\n",
              "      <td>1.968</td>\n",
              "      <td>7.423</td>\n",
              "      <td>10.009</td>\n",
              "      <td>4.206</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2721</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Uinta County</td>\n",
              "      <td>56041.0</td>\n",
              "      <td>1.993</td>\n",
              "      <td>2.943</td>\n",
              "      <td>2.745</td>\n",
              "      <td>4.529</td>\n",
              "      <td>3.131</td>\n",
              "      <td>4.474</td>\n",
              "      <td>4.652</td>\n",
              "      <td>2.312</td>\n",
              "      <td>3.675</td>\n",
              "      <td>3.887</td>\n",
              "      <td>4.402</td>\n",
              "      <td>4.233</td>\n",
              "      <td>5.904</td>\n",
              "      <td>2.475</td>\n",
              "      <td>2.741</td>\n",
              "      <td>3.299</td>\n",
              "      <td>3.074</td>\n",
              "      <td>3.154</td>\n",
              "      <td>3.299</td>\n",
              "      <td>3.684</td>\n",
              "      <td>4.907</td>\n",
              "      <td>5.363</td>\n",
              "      <td>3.615</td>\n",
              "      <td>3.217</td>\n",
              "      <td>3.017</td>\n",
              "      <td>3.122</td>\n",
              "      <td>2.790</td>\n",
              "      <td>2.892</td>\n",
              "      <td>2.369</td>\n",
              "      <td>2.886</td>\n",
              "      <td>2.840</td>\n",
              "      <td>2.983</td>\n",
              "      <td>3.308</td>\n",
              "      <td>3.633</td>\n",
              "      <td>2.153</td>\n",
              "      <td>...</td>\n",
              "      <td>5.101</td>\n",
              "      <td>3.726</td>\n",
              "      <td>6.034</td>\n",
              "      <td>4.358</td>\n",
              "      <td>1.019</td>\n",
              "      <td>2.874</td>\n",
              "      <td>5.044</td>\n",
              "      <td>4.575</td>\n",
              "      <td>7.600</td>\n",
              "      <td>4.565</td>\n",
              "      <td>5.178</td>\n",
              "      <td>2.339</td>\n",
              "      <td>3.930</td>\n",
              "      <td>3.586</td>\n",
              "      <td>4.847</td>\n",
              "      <td>4.532</td>\n",
              "      <td>5.163</td>\n",
              "      <td>3.055</td>\n",
              "      <td>2.318</td>\n",
              "      <td>3.309</td>\n",
              "      <td>3.933</td>\n",
              "      <td>4.349</td>\n",
              "      <td>4.148</td>\n",
              "      <td>4.900</td>\n",
              "      <td>2.076</td>\n",
              "      <td>2.560</td>\n",
              "      <td>3.204</td>\n",
              "      <td>3.681</td>\n",
              "      <td>4.215</td>\n",
              "      <td>5.682</td>\n",
              "      <td>4.662</td>\n",
              "      <td>4.228</td>\n",
              "      <td>2.543</td>\n",
              "      <td>3.630</td>\n",
              "      <td>3.268</td>\n",
              "      <td>4.434</td>\n",
              "      <td>2.392</td>\n",
              "      <td>3.171</td>\n",
              "      <td>2.696</td>\n",
              "      <td>2.520</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 276 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     country_code  admin_level   admin1  ... 2020-11-27  2020-11-28  2020-11-29\n",
              "2717           US            2  Wyoming  ...      2.101       1.976       1.866\n",
              "2718           US            2  Wyoming  ...      1.119       2.359       1.205\n",
              "2719           US            2  Wyoming  ...      1.953       2.480       1.825\n",
              "2720           US            2  Wyoming  ...      7.423      10.009       4.206\n",
              "2721           US            2  Wyoming  ...      3.171       2.696       2.520\n",
              "\n",
              "[5 rows x 276 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 163
        },
        "id": "NPdZHIXgyu5r",
        "outputId": "8c22f34c-2562-4686-be85-0970fd92873a"
      },
      "source": [
        "#sample 1\n",
        "df.sample(1)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country_code</th>\n",
              "      <th>admin_level</th>\n",
              "      <th>admin1</th>\n",
              "      <th>admin2</th>\n",
              "      <th>fips</th>\n",
              "      <th>2020-03-01</th>\n",
              "      <th>2020-03-02</th>\n",
              "      <th>2020-03-03</th>\n",
              "      <th>2020-03-04</th>\n",
              "      <th>2020-03-05</th>\n",
              "      <th>2020-03-06</th>\n",
              "      <th>2020-03-07</th>\n",
              "      <th>2020-03-08</th>\n",
              "      <th>2020-03-09</th>\n",
              "      <th>2020-03-10</th>\n",
              "      <th>2020-03-11</th>\n",
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              "      <th>2020-03-24</th>\n",
              "      <th>2020-03-25</th>\n",
              "      <th>2020-03-26</th>\n",
              "      <th>2020-03-27</th>\n",
              "      <th>2020-03-28</th>\n",
              "      <th>2020-03-29</th>\n",
              "      <th>2020-03-30</th>\n",
              "      <th>2020-03-31</th>\n",
              "      <th>2020-04-01</th>\n",
              "      <th>2020-04-02</th>\n",
              "      <th>2020-04-03</th>\n",
              "      <th>2020-04-04</th>\n",
              "      <th>...</th>\n",
              "      <th>2020-10-21</th>\n",
              "      <th>2020-10-22</th>\n",
              "      <th>2020-10-23</th>\n",
              "      <th>2020-10-24</th>\n",
              "      <th>2020-10-25</th>\n",
              "      <th>2020-10-26</th>\n",
              "      <th>2020-10-27</th>\n",
              "      <th>2020-10-28</th>\n",
              "      <th>2020-10-29</th>\n",
              "      <th>2020-10-30</th>\n",
              "      <th>2020-10-31</th>\n",
              "      <th>2020-11-01</th>\n",
              "      <th>2020-11-02</th>\n",
              "      <th>2020-11-03</th>\n",
              "      <th>2020-11-04</th>\n",
              "      <th>2020-11-05</th>\n",
              "      <th>2020-11-06</th>\n",
              "      <th>2020-11-07</th>\n",
              "      <th>2020-11-08</th>\n",
              "      <th>2020-11-09</th>\n",
              "      <th>2020-11-10</th>\n",
              "      <th>2020-11-11</th>\n",
              "      <th>2020-11-12</th>\n",
              "      <th>2020-11-13</th>\n",
              "      <th>2020-11-14</th>\n",
              "      <th>2020-11-15</th>\n",
              "      <th>2020-11-16</th>\n",
              "      <th>2020-11-17</th>\n",
              "      <th>2020-11-18</th>\n",
              "      <th>2020-11-19</th>\n",
              "      <th>2020-11-20</th>\n",
              "      <th>2020-11-21</th>\n",
              "      <th>2020-11-22</th>\n",
              "      <th>2020-11-23</th>\n",
              "      <th>2020-11-24</th>\n",
              "      <th>2020-11-25</th>\n",
              "      <th>2020-11-26</th>\n",
              "      <th>2020-11-27</th>\n",
              "      <th>2020-11-28</th>\n",
              "      <th>2020-11-29</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1269</th>\n",
              "      <td>US</td>\n",
              "      <td>2</td>\n",
              "      <td>Mississippi</td>\n",
              "      <td>Choctaw County</td>\n",
              "      <td>28019.0</td>\n",
              "      <td>15.2</td>\n",
              "      <td>24.214</td>\n",
              "      <td>25.472</td>\n",
              "      <td>21.469</td>\n",
              "      <td>22.962</td>\n",
              "      <td>24.984</td>\n",
              "      <td>22.114</td>\n",
              "      <td>17.53</td>\n",
              "      <td>22.542</td>\n",
              "      <td>24.662</td>\n",
              "      <td>22.494</td>\n",
              "      <td>22.189</td>\n",
              "      <td>23.191</td>\n",
              "      <td>25.514</td>\n",
              "      <td>13.566</td>\n",
              "      <td>22.253</td>\n",
              "      <td>18.738</td>\n",
              "      <td>20.036</td>\n",
              "      <td>23.948</td>\n",
              "      <td>22.647</td>\n",
              "      <td>10.479</td>\n",
              "      <td>2.606</td>\n",
              "      <td>15.289</td>\n",
              "      <td>11.23</td>\n",
              "      <td>13.373</td>\n",
              "      <td>20.513</td>\n",
              "      <td>19.826</td>\n",
              "      <td>13.263</td>\n",
              "      <td>5.576</td>\n",
              "      <td>15.733</td>\n",
              "      <td>10.712</td>\n",
              "      <td>19.343</td>\n",
              "      <td>21.7</td>\n",
              "      <td>21.139</td>\n",
              "      <td>7.448</td>\n",
              "      <td>...</td>\n",
              "      <td>21.092</td>\n",
              "      <td>20.36</td>\n",
              "      <td>24.386</td>\n",
              "      <td>21.205</td>\n",
              "      <td>11.606</td>\n",
              "      <td>15.558</td>\n",
              "      <td>20.932</td>\n",
              "      <td>21.029</td>\n",
              "      <td>19.81</td>\n",
              "      <td>23.551</td>\n",
              "      <td>19.707</td>\n",
              "      <td>12.993</td>\n",
              "      <td>19.832</td>\n",
              "      <td>21.646</td>\n",
              "      <td>19.16</td>\n",
              "      <td>21.398</td>\n",
              "      <td>21.743</td>\n",
              "      <td>18.441</td>\n",
              "      <td>11.553</td>\n",
              "      <td>18.626</td>\n",
              "      <td>22.124</td>\n",
              "      <td>18.064</td>\n",
              "      <td>21.486</td>\n",
              "      <td>24.37</td>\n",
              "      <td>13.135</td>\n",
              "      <td>11.854</td>\n",
              "      <td>16.944</td>\n",
              "      <td>18.437</td>\n",
              "      <td>18.996</td>\n",
              "      <td>23.104</td>\n",
              "      <td>25.624</td>\n",
              "      <td>14.48</td>\n",
              "      <td>14.5</td>\n",
              "      <td>20.896</td>\n",
              "      <td>18.742</td>\n",
              "      <td>18.746</td>\n",
              "      <td>13.121</td>\n",
              "      <td>21.126</td>\n",
              "      <td>11.319</td>\n",
              "      <td>9.538</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1 rows × 276 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     country_code  admin_level       admin1  ... 2020-11-27  2020-11-28  2020-11-29\n",
              "1269           US            2  Mississippi  ...     21.126      11.319       9.538\n",
              "\n",
              "[1 rows x 276 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1I-_XQVjyjXp"
      },
      "source": [
        "#Let's aggregate the data first, so we can look at it as a country whole\n",
        "agg_df =  (df.groupby(\"admin1\", as_index = False).agg('mean'))"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "QlK8pS2tzDda",
        "outputId": "a6f4a7c8-7600-46dc-b0dc-1abc76ad0f76"
      },
      "source": [
        "#Here's the state look at mobility, per day\n",
        "agg_df.head()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>admin1</th>\n",
              "      <th>admin_level</th>\n",
              "      <th>fips</th>\n",
              "      <th>2020-03-01</th>\n",
              "      <th>2020-03-02</th>\n",
              "      <th>2020-03-03</th>\n",
              "      <th>2020-03-04</th>\n",
              "      <th>2020-03-05</th>\n",
              "      <th>2020-03-06</th>\n",
              "      <th>2020-03-07</th>\n",
              "      <th>2020-03-08</th>\n",
              "      <th>2020-03-09</th>\n",
              "      <th>2020-03-10</th>\n",
              "      <th>2020-03-11</th>\n",
              "      <th>2020-03-12</th>\n",
              "      <th>2020-03-13</th>\n",
              "      <th>2020-03-14</th>\n",
              "      <th>2020-03-15</th>\n",
              "      <th>2020-03-16</th>\n",
              "      <th>2020-03-17</th>\n",
              "      <th>2020-03-18</th>\n",
              "      <th>2020-03-19</th>\n",
              "      <th>2020-03-20</th>\n",
              "      <th>2020-03-21</th>\n",
              "      <th>2020-03-22</th>\n",
              "      <th>2020-03-23</th>\n",
              "      <th>2020-03-24</th>\n",
              "      <th>2020-03-25</th>\n",
              "      <th>2020-03-26</th>\n",
              "      <th>2020-03-27</th>\n",
              "      <th>2020-03-28</th>\n",
              "      <th>2020-03-29</th>\n",
              "      <th>2020-03-30</th>\n",
              "      <th>2020-03-31</th>\n",
              "      <th>2020-04-01</th>\n",
              "      <th>2020-04-02</th>\n",
              "      <th>2020-04-03</th>\n",
              "      <th>2020-04-04</th>\n",
              "      <th>2020-04-05</th>\n",
              "      <th>2020-04-06</th>\n",
              "      <th>...</th>\n",
              "      <th>2020-10-21</th>\n",
              "      <th>2020-10-22</th>\n",
              "      <th>2020-10-23</th>\n",
              "      <th>2020-10-24</th>\n",
              "      <th>2020-10-25</th>\n",
              "      <th>2020-10-26</th>\n",
              "      <th>2020-10-27</th>\n",
              "      <th>2020-10-28</th>\n",
              "      <th>2020-10-29</th>\n",
              "      <th>2020-10-30</th>\n",
              "      <th>2020-10-31</th>\n",
              "      <th>2020-11-01</th>\n",
              "      <th>2020-11-02</th>\n",
              "      <th>2020-11-03</th>\n",
              "      <th>2020-11-04</th>\n",
              "      <th>2020-11-05</th>\n",
              "      <th>2020-11-06</th>\n",
              "      <th>2020-11-07</th>\n",
              "      <th>2020-11-08</th>\n",
              "      <th>2020-11-09</th>\n",
              "      <th>2020-11-10</th>\n",
              "      <th>2020-11-11</th>\n",
              "      <th>2020-11-12</th>\n",
              "      <th>2020-11-13</th>\n",
              "      <th>2020-11-14</th>\n",
              "      <th>2020-11-15</th>\n",
              "      <th>2020-11-16</th>\n",
              "      <th>2020-11-17</th>\n",
              "      <th>2020-11-18</th>\n",
              "      <th>2020-11-19</th>\n",
              "      <th>2020-11-20</th>\n",
              "      <th>2020-11-21</th>\n",
              "      <th>2020-11-22</th>\n",
              "      <th>2020-11-23</th>\n",
              "      <th>2020-11-24</th>\n",
              "      <th>2020-11-25</th>\n",
              "      <th>2020-11-26</th>\n",
              "      <th>2020-11-27</th>\n",
              "      <th>2020-11-28</th>\n",
              "      <th>2020-11-29</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alabama</td>\n",
              "      <td>1.985294</td>\n",
              "      <td>1051.323529</td>\n",
              "      <td>10.871941</td>\n",
              "      <td>14.345132</td>\n",
              "      <td>14.244603</td>\n",
              "      <td>13.083015</td>\n",
              "      <td>14.815029</td>\n",
              "      <td>17.943985</td>\n",
              "      <td>16.303191</td>\n",
              "      <td>10.940368</td>\n",
              "      <td>14.744824</td>\n",
              "      <td>14.350324</td>\n",
              "      <td>14.575529</td>\n",
              "      <td>16.140824</td>\n",
              "      <td>17.056328</td>\n",
              "      <td>12.913045</td>\n",
              "      <td>8.772603</td>\n",
              "      <td>12.795731</td>\n",
              "      <td>11.745191</td>\n",
              "      <td>11.067582</td>\n",
              "      <td>11.490191</td>\n",
              "      <td>11.857851</td>\n",
              "      <td>7.481164</td>\n",
              "      <td>4.730088</td>\n",
              "      <td>7.930794</td>\n",
              "      <td>8.310279</td>\n",
              "      <td>9.693279</td>\n",
              "      <td>9.700309</td>\n",
              "      <td>10.092750</td>\n",
              "      <td>6.675662</td>\n",
              "      <td>4.432221</td>\n",
              "      <td>7.447559</td>\n",
              "      <td>6.608588</td>\n",
              "      <td>8.525250</td>\n",
              "      <td>8.172603</td>\n",
              "      <td>9.236618</td>\n",
              "      <td>5.802059</td>\n",
              "      <td>2.269985</td>\n",
              "      <td>6.749221</td>\n",
              "      <td>...</td>\n",
              "      <td>13.650103</td>\n",
              "      <td>13.445676</td>\n",
              "      <td>15.861500</td>\n",
              "      <td>10.941103</td>\n",
              "      <td>8.864647</td>\n",
              "      <td>11.932191</td>\n",
              "      <td>12.742368</td>\n",
              "      <td>11.821926</td>\n",
              "      <td>12.506956</td>\n",
              "      <td>15.972868</td>\n",
              "      <td>11.983603</td>\n",
              "      <td>9.056735</td>\n",
              "      <td>12.150103</td>\n",
              "      <td>12.649897</td>\n",
              "      <td>13.523971</td>\n",
              "      <td>12.599574</td>\n",
              "      <td>15.125221</td>\n",
              "      <td>12.703868</td>\n",
              "      <td>8.633765</td>\n",
              "      <td>11.159897</td>\n",
              "      <td>13.106074</td>\n",
              "      <td>12.410309</td>\n",
              "      <td>12.737529</td>\n",
              "      <td>15.613868</td>\n",
              "      <td>13.217750</td>\n",
              "      <td>9.336985</td>\n",
              "      <td>11.906515</td>\n",
              "      <td>12.849559</td>\n",
              "      <td>14.198191</td>\n",
              "      <td>14.518059</td>\n",
              "      <td>16.385956</td>\n",
              "      <td>13.095147</td>\n",
              "      <td>9.601191</td>\n",
              "      <td>12.944309</td>\n",
              "      <td>13.963750</td>\n",
              "      <td>13.304926</td>\n",
              "      <td>7.591882</td>\n",
              "      <td>11.244456</td>\n",
              "      <td>9.428147</td>\n",
              "      <td>7.551765</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alaska</td>\n",
              "      <td>1.875000</td>\n",
              "      <td>1853.625000</td>\n",
              "      <td>0.864143</td>\n",
              "      <td>3.127000</td>\n",
              "      <td>3.515571</td>\n",
              "      <td>3.244750</td>\n",
              "      <td>3.271500</td>\n",
              "      <td>4.196571</td>\n",
              "      <td>2.055714</td>\n",
              "      <td>0.794429</td>\n",
              "      <td>2.636571</td>\n",
              "      <td>3.219857</td>\n",
              "      <td>3.417857</td>\n",
              "      <td>3.478000</td>\n",
              "      <td>3.638857</td>\n",
              "      <td>1.481000</td>\n",
              "      <td>0.682429</td>\n",
              "      <td>2.755286</td>\n",
              "      <td>2.375714</td>\n",
              "      <td>1.640429</td>\n",
              "      <td>1.242714</td>\n",
              "      <td>1.623000</td>\n",
              "      <td>0.047857</td>\n",
              "      <td>0.065000</td>\n",
              "      <td>0.514714</td>\n",
              "      <td>0.418857</td>\n",
              "      <td>0.448143</td>\n",
              "      <td>0.464500</td>\n",
              "      <td>0.686429</td>\n",
              "      <td>0.060857</td>\n",
              "      <td>0.047500</td>\n",
              "      <td>0.066375</td>\n",
              "      <td>0.253625</td>\n",
              "      <td>0.131375</td>\n",
              "      <td>0.159000</td>\n",
              "      <td>0.544625</td>\n",
              "      <td>0.193375</td>\n",
              "      <td>0.047625</td>\n",
              "      <td>0.249714</td>\n",
              "      <td>...</td>\n",
              "      <td>3.511375</td>\n",
              "      <td>3.767125</td>\n",
              "      <td>3.865500</td>\n",
              "      <td>3.000750</td>\n",
              "      <td>1.182875</td>\n",
              "      <td>2.971500</td>\n",
              "      <td>3.488500</td>\n",
              "      <td>3.386875</td>\n",
              "      <td>3.070250</td>\n",
              "      <td>3.182000</td>\n",
              "      <td>2.621625</td>\n",
              "      <td>0.642875</td>\n",
              "      <td>2.467250</td>\n",
              "      <td>2.860250</td>\n",
              "      <td>3.147750</td>\n",
              "      <td>3.184125</td>\n",
              "      <td>2.737125</td>\n",
              "      <td>2.057875</td>\n",
              "      <td>0.587250</td>\n",
              "      <td>2.553500</td>\n",
              "      <td>3.092375</td>\n",
              "      <td>2.478750</td>\n",
              "      <td>2.713875</td>\n",
              "      <td>3.140875</td>\n",
              "      <td>2.166625</td>\n",
              "      <td>1.223875</td>\n",
              "      <td>2.412875</td>\n",
              "      <td>2.370375</td>\n",
              "      <td>2.799750</td>\n",
              "      <td>2.722500</td>\n",
              "      <td>3.339714</td>\n",
              "      <td>2.227429</td>\n",
              "      <td>1.105875</td>\n",
              "      <td>2.596250</td>\n",
              "      <td>2.740125</td>\n",
              "      <td>3.051750</td>\n",
              "      <td>0.392625</td>\n",
              "      <td>1.778250</td>\n",
              "      <td>1.583500</td>\n",
              "      <td>1.018875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Arizona</td>\n",
              "      <td>1.937500</td>\n",
              "      <td>3763.250000</td>\n",
              "      <td>3.702000</td>\n",
              "      <td>5.356867</td>\n",
              "      <td>5.440200</td>\n",
              "      <td>5.410750</td>\n",
              "      <td>5.790562</td>\n",
              "      <td>7.026600</td>\n",
              "      <td>5.423000</td>\n",
              "      <td>3.859933</td>\n",
              "      <td>5.487933</td>\n",
              "      <td>6.023600</td>\n",
              "      <td>5.668187</td>\n",
              "      <td>5.009063</td>\n",
              "      <td>8.227438</td>\n",
              "      <td>5.126933</td>\n",
              "      <td>4.876867</td>\n",
              "      <td>4.947600</td>\n",
              "      <td>4.467933</td>\n",
              "      <td>3.296067</td>\n",
              "      <td>3.009200</td>\n",
              "      <td>4.333867</td>\n",
              "      <td>2.181933</td>\n",
              "      <td>1.075067</td>\n",
              "      <td>1.979133</td>\n",
              "      <td>2.171562</td>\n",
              "      <td>2.256067</td>\n",
              "      <td>1.928688</td>\n",
              "      <td>1.917333</td>\n",
              "      <td>1.150933</td>\n",
              "      <td>0.590812</td>\n",
              "      <td>1.429000</td>\n",
              "      <td>1.578125</td>\n",
              "      <td>1.175937</td>\n",
              "      <td>1.322313</td>\n",
              "      <td>1.979067</td>\n",
              "      <td>0.777000</td>\n",
              "      <td>0.510733</td>\n",
              "      <td>1.130200</td>\n",
              "      <td>...</td>\n",
              "      <td>4.455500</td>\n",
              "      <td>5.443500</td>\n",
              "      <td>6.201750</td>\n",
              "      <td>4.284000</td>\n",
              "      <td>2.773063</td>\n",
              "      <td>3.499625</td>\n",
              "      <td>4.189062</td>\n",
              "      <td>4.282750</td>\n",
              "      <td>4.836250</td>\n",
              "      <td>5.175625</td>\n",
              "      <td>3.692125</td>\n",
              "      <td>2.235125</td>\n",
              "      <td>3.426312</td>\n",
              "      <td>3.782500</td>\n",
              "      <td>3.869313</td>\n",
              "      <td>3.713500</td>\n",
              "      <td>4.217000</td>\n",
              "      <td>2.984812</td>\n",
              "      <td>1.821250</td>\n",
              "      <td>2.820187</td>\n",
              "      <td>4.347375</td>\n",
              "      <td>4.095687</td>\n",
              "      <td>3.980812</td>\n",
              "      <td>4.418125</td>\n",
              "      <td>3.596750</td>\n",
              "      <td>2.442937</td>\n",
              "      <td>3.247062</td>\n",
              "      <td>3.508375</td>\n",
              "      <td>4.328938</td>\n",
              "      <td>4.493062</td>\n",
              "      <td>4.979000</td>\n",
              "      <td>3.805188</td>\n",
              "      <td>2.339000</td>\n",
              "      <td>3.709375</td>\n",
              "      <td>3.974062</td>\n",
              "      <td>5.051812</td>\n",
              "      <td>1.017625</td>\n",
              "      <td>2.481875</td>\n",
              "      <td>3.225000</td>\n",
              "      <td>2.343813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Arkansas</td>\n",
              "      <td>1.986301</td>\n",
              "      <td>5006.397260</td>\n",
              "      <td>8.344141</td>\n",
              "      <td>12.619333</td>\n",
              "      <td>12.986658</td>\n",
              "      <td>12.312444</td>\n",
              "      <td>13.862863</td>\n",
              "      <td>16.397662</td>\n",
              "      <td>14.978562</td>\n",
              "      <td>9.208959</td>\n",
              "      <td>11.611986</td>\n",
              "      <td>12.596534</td>\n",
              "      <td>12.233070</td>\n",
              "      <td>13.314083</td>\n",
              "      <td>13.428384</td>\n",
              "      <td>9.575347</td>\n",
              "      <td>6.305972</td>\n",
              "      <td>9.731431</td>\n",
              "      <td>9.481041</td>\n",
              "      <td>8.467548</td>\n",
              "      <td>8.913528</td>\n",
              "      <td>9.988211</td>\n",
              "      <td>6.341574</td>\n",
              "      <td>2.295557</td>\n",
              "      <td>7.042889</td>\n",
              "      <td>6.724000</td>\n",
              "      <td>8.055528</td>\n",
              "      <td>8.626722</td>\n",
              "      <td>8.658425</td>\n",
              "      <td>4.350151</td>\n",
              "      <td>4.990027</td>\n",
              "      <td>5.960575</td>\n",
              "      <td>6.473361</td>\n",
              "      <td>7.909151</td>\n",
              "      <td>7.620425</td>\n",
              "      <td>7.362959</td>\n",
              "      <td>3.662817</td>\n",
              "      <td>3.396986</td>\n",
              "      <td>6.804653</td>\n",
              "      <td>...</td>\n",
              "      <td>11.370616</td>\n",
              "      <td>11.693027</td>\n",
              "      <td>13.709575</td>\n",
              "      <td>10.539890</td>\n",
              "      <td>7.077589</td>\n",
              "      <td>9.714932</td>\n",
              "      <td>10.324986</td>\n",
              "      <td>10.011274</td>\n",
              "      <td>11.389753</td>\n",
              "      <td>13.392068</td>\n",
              "      <td>10.141178</td>\n",
              "      <td>6.525137</td>\n",
              "      <td>9.836479</td>\n",
              "      <td>10.511288</td>\n",
              "      <td>11.362425</td>\n",
              "      <td>10.937808</td>\n",
              "      <td>12.602000</td>\n",
              "      <td>9.787247</td>\n",
              "      <td>7.612041</td>\n",
              "      <td>9.532342</td>\n",
              "      <td>11.257753</td>\n",
              "      <td>11.011493</td>\n",
              "      <td>11.091452</td>\n",
              "      <td>12.932904</td>\n",
              "      <td>8.237863</td>\n",
              "      <td>7.580411</td>\n",
              "      <td>9.362041</td>\n",
              "      <td>10.376164</td>\n",
              "      <td>11.661000</td>\n",
              "      <td>12.319699</td>\n",
              "      <td>13.755603</td>\n",
              "      <td>10.755342</td>\n",
              "      <td>7.749658</td>\n",
              "      <td>10.570247</td>\n",
              "      <td>11.274384</td>\n",
              "      <td>11.310110</td>\n",
              "      <td>6.014507</td>\n",
              "      <td>9.317027</td>\n",
              "      <td>9.312301</td>\n",
              "      <td>6.256315</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>California</td>\n",
              "      <td>1.981818</td>\n",
              "      <td>5947.672727</td>\n",
              "      <td>9.722800</td>\n",
              "      <td>6.367167</td>\n",
              "      <td>6.404185</td>\n",
              "      <td>6.464345</td>\n",
              "      <td>6.893909</td>\n",
              "      <td>7.470037</td>\n",
              "      <td>5.184327</td>\n",
              "      <td>4.892927</td>\n",
              "      <td>6.083537</td>\n",
              "      <td>6.519500</td>\n",
              "      <td>6.359000</td>\n",
              "      <td>6.307127</td>\n",
              "      <td>6.503926</td>\n",
              "      <td>3.216891</td>\n",
              "      <td>2.778909</td>\n",
              "      <td>4.525630</td>\n",
              "      <td>3.484056</td>\n",
              "      <td>3.191377</td>\n",
              "      <td>2.857132</td>\n",
              "      <td>3.199942</td>\n",
              "      <td>1.112192</td>\n",
              "      <td>0.574132</td>\n",
              "      <td>1.638321</td>\n",
              "      <td>1.304717</td>\n",
              "      <td>1.590358</td>\n",
              "      <td>1.546926</td>\n",
              "      <td>2.382889</td>\n",
              "      <td>0.502585</td>\n",
              "      <td>0.204741</td>\n",
              "      <td>1.198667</td>\n",
              "      <td>1.467868</td>\n",
              "      <td>1.470907</td>\n",
              "      <td>1.666056</td>\n",
              "      <td>2.045315</td>\n",
              "      <td>0.417519</td>\n",
              "      <td>0.065389</td>\n",
              "      <td>0.917830</td>\n",
              "      <td>...</td>\n",
              "      <td>3.566927</td>\n",
              "      <td>3.826455</td>\n",
              "      <td>4.599273</td>\n",
              "      <td>2.960145</td>\n",
              "      <td>2.130236</td>\n",
              "      <td>3.278618</td>\n",
              "      <td>3.651836</td>\n",
              "      <td>3.274073</td>\n",
              "      <td>3.566818</td>\n",
              "      <td>3.888436</td>\n",
              "      <td>2.640618</td>\n",
              "      <td>1.227236</td>\n",
              "      <td>2.693291</td>\n",
              "      <td>2.849382</td>\n",
              "      <td>2.860873</td>\n",
              "      <td>2.886436</td>\n",
              "      <td>2.922273</td>\n",
              "      <td>2.062582</td>\n",
              "      <td>1.035927</td>\n",
              "      <td>2.171727</td>\n",
              "      <td>3.807727</td>\n",
              "      <td>2.953855</td>\n",
              "      <td>2.652145</td>\n",
              "      <td>2.886491</td>\n",
              "      <td>2.037618</td>\n",
              "      <td>1.577073</td>\n",
              "      <td>2.386800</td>\n",
              "      <td>2.308436</td>\n",
              "      <td>2.605836</td>\n",
              "      <td>2.940309</td>\n",
              "      <td>3.365455</td>\n",
              "      <td>2.145527</td>\n",
              "      <td>1.205855</td>\n",
              "      <td>2.510327</td>\n",
              "      <td>2.699127</td>\n",
              "      <td>3.282727</td>\n",
              "      <td>0.395455</td>\n",
              "      <td>1.159491</td>\n",
              "      <td>1.620582</td>\n",
              "      <td>2.520745</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 274 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       admin1  admin_level         fips  ...  2020-11-27  2020-11-28  2020-11-29\n",
              "0     Alabama     1.985294  1051.323529  ...   11.244456    9.428147    7.551765\n",
              "1      Alaska     1.875000  1853.625000  ...    1.778250    1.583500    1.018875\n",
              "2     Arizona     1.937500  3763.250000  ...    2.481875    3.225000    2.343813\n",
              "3    Arkansas     1.986301  5006.397260  ...    9.317027    9.312301    6.256315\n",
              "4  California     1.981818  5947.672727  ...    1.159491    1.620582    2.520745\n",
              "\n",
              "[5 rows x 274 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Im8Bw_6Qz1YN"
      },
      "source": [
        "agg_df2 = agg_df.drop(columns=['fips', 'admin_level'])\n",
        "#agg_df2 = agg_df2.agg('mean')"
      ],
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "VHxcSVj80g-s",
        "outputId": "82e65b4c-8d6e-4d47-d928-f7ed97041f64"
      },
      "source": [
        "agg_df2.head()"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>admin1</th>\n",
              "      <th>2020-03-01</th>\n",
              "      <th>2020-03-02</th>\n",
              "      <th>2020-03-03</th>\n",
              "      <th>2020-03-04</th>\n",
              "      <th>2020-03-05</th>\n",
              "      <th>2020-03-06</th>\n",
              "      <th>2020-03-07</th>\n",
              "      <th>2020-03-08</th>\n",
              "      <th>2020-03-09</th>\n",
              "      <th>2020-03-10</th>\n",
              "      <th>2020-03-11</th>\n",
              "      <th>2020-03-12</th>\n",
              "      <th>2020-03-13</th>\n",
              "      <th>2020-03-14</th>\n",
              "      <th>2020-03-15</th>\n",
              "      <th>2020-03-16</th>\n",
              "      <th>2020-03-17</th>\n",
              "      <th>2020-03-18</th>\n",
              "      <th>2020-03-19</th>\n",
              "      <th>2020-03-20</th>\n",
              "      <th>2020-03-21</th>\n",
              "      <th>2020-03-22</th>\n",
              "      <th>2020-03-23</th>\n",
              "      <th>2020-03-24</th>\n",
              "      <th>2020-03-25</th>\n",
              "      <th>2020-03-26</th>\n",
              "      <th>2020-03-27</th>\n",
              "      <th>2020-03-28</th>\n",
              "      <th>2020-03-29</th>\n",
              "      <th>2020-03-30</th>\n",
              "      <th>2020-03-31</th>\n",
              "      <th>2020-04-01</th>\n",
              "      <th>2020-04-02</th>\n",
              "      <th>2020-04-03</th>\n",
              "      <th>2020-04-04</th>\n",
              "      <th>2020-04-05</th>\n",
              "      <th>2020-04-06</th>\n",
              "      <th>2020-04-07</th>\n",
              "      <th>2020-04-08</th>\n",
              "      <th>...</th>\n",
              "      <th>2020-10-21</th>\n",
              "      <th>2020-10-22</th>\n",
              "      <th>2020-10-23</th>\n",
              "      <th>2020-10-24</th>\n",
              "      <th>2020-10-25</th>\n",
              "      <th>2020-10-26</th>\n",
              "      <th>2020-10-27</th>\n",
              "      <th>2020-10-28</th>\n",
              "      <th>2020-10-29</th>\n",
              "      <th>2020-10-30</th>\n",
              "      <th>2020-10-31</th>\n",
              "      <th>2020-11-01</th>\n",
              "      <th>2020-11-02</th>\n",
              "      <th>2020-11-03</th>\n",
              "      <th>2020-11-04</th>\n",
              "      <th>2020-11-05</th>\n",
              "      <th>2020-11-06</th>\n",
              "      <th>2020-11-07</th>\n",
              "      <th>2020-11-08</th>\n",
              "      <th>2020-11-09</th>\n",
              "      <th>2020-11-10</th>\n",
              "      <th>2020-11-11</th>\n",
              "      <th>2020-11-12</th>\n",
              "      <th>2020-11-13</th>\n",
              "      <th>2020-11-14</th>\n",
              "      <th>2020-11-15</th>\n",
              "      <th>2020-11-16</th>\n",
              "      <th>2020-11-17</th>\n",
              "      <th>2020-11-18</th>\n",
              "      <th>2020-11-19</th>\n",
              "      <th>2020-11-20</th>\n",
              "      <th>2020-11-21</th>\n",
              "      <th>2020-11-22</th>\n",
              "      <th>2020-11-23</th>\n",
              "      <th>2020-11-24</th>\n",
              "      <th>2020-11-25</th>\n",
              "      <th>2020-11-26</th>\n",
              "      <th>2020-11-27</th>\n",
              "      <th>2020-11-28</th>\n",
              "      <th>2020-11-29</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Alabama</td>\n",
              "      <td>10.871941</td>\n",
              "      <td>14.345132</td>\n",
              "      <td>14.244603</td>\n",
              "      <td>13.083015</td>\n",
              "      <td>14.815029</td>\n",
              "      <td>17.943985</td>\n",
              "      <td>16.303191</td>\n",
              "      <td>10.940368</td>\n",
              "      <td>14.744824</td>\n",
              "      <td>14.350324</td>\n",
              "      <td>14.575529</td>\n",
              "      <td>16.140824</td>\n",
              "      <td>17.056328</td>\n",
              "      <td>12.913045</td>\n",
              "      <td>8.772603</td>\n",
              "      <td>12.795731</td>\n",
              "      <td>11.745191</td>\n",
              "      <td>11.067582</td>\n",
              "      <td>11.490191</td>\n",
              "      <td>11.857851</td>\n",
              "      <td>7.481164</td>\n",
              "      <td>4.730088</td>\n",
              "      <td>7.930794</td>\n",
              "      <td>8.310279</td>\n",
              "      <td>9.693279</td>\n",
              "      <td>9.700309</td>\n",
              "      <td>10.092750</td>\n",
              "      <td>6.675662</td>\n",
              "      <td>4.432221</td>\n",
              "      <td>7.447559</td>\n",
              "      <td>6.608588</td>\n",
              "      <td>8.525250</td>\n",
              "      <td>8.172603</td>\n",
              "      <td>9.236618</td>\n",
              "      <td>5.802059</td>\n",
              "      <td>2.269985</td>\n",
              "      <td>6.749221</td>\n",
              "      <td>6.364500</td>\n",
              "      <td>6.983088</td>\n",
              "      <td>...</td>\n",
              "      <td>13.650103</td>\n",
              "      <td>13.445676</td>\n",
              "      <td>15.861500</td>\n",
              "      <td>10.941103</td>\n",
              "      <td>8.864647</td>\n",
              "      <td>11.932191</td>\n",
              "      <td>12.742368</td>\n",
              "      <td>11.821926</td>\n",
              "      <td>12.506956</td>\n",
              "      <td>15.972868</td>\n",
              "      <td>11.983603</td>\n",
              "      <td>9.056735</td>\n",
              "      <td>12.150103</td>\n",
              "      <td>12.649897</td>\n",
              "      <td>13.523971</td>\n",
              "      <td>12.599574</td>\n",
              "      <td>15.125221</td>\n",
              "      <td>12.703868</td>\n",
              "      <td>8.633765</td>\n",
              "      <td>11.159897</td>\n",
              "      <td>13.106074</td>\n",
              "      <td>12.410309</td>\n",
              "      <td>12.737529</td>\n",
              "      <td>15.613868</td>\n",
              "      <td>13.217750</td>\n",
              "      <td>9.336985</td>\n",
              "      <td>11.906515</td>\n",
              "      <td>12.849559</td>\n",
              "      <td>14.198191</td>\n",
              "      <td>14.518059</td>\n",
              "      <td>16.385956</td>\n",
              "      <td>13.095147</td>\n",
              "      <td>9.601191</td>\n",
              "      <td>12.944309</td>\n",
              "      <td>13.963750</td>\n",
              "      <td>13.304926</td>\n",
              "      <td>7.591882</td>\n",
              "      <td>11.244456</td>\n",
              "      <td>9.428147</td>\n",
              "      <td>7.551765</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alaska</td>\n",
              "      <td>0.864143</td>\n",
              "      <td>3.127000</td>\n",
              "      <td>3.515571</td>\n",
              "      <td>3.244750</td>\n",
              "      <td>3.271500</td>\n",
              "      <td>4.196571</td>\n",
              "      <td>2.055714</td>\n",
              "      <td>0.794429</td>\n",
              "      <td>2.636571</td>\n",
              "      <td>3.219857</td>\n",
              "      <td>3.417857</td>\n",
              "      <td>3.478000</td>\n",
              "      <td>3.638857</td>\n",
              "      <td>1.481000</td>\n",
              "      <td>0.682429</td>\n",
              "      <td>2.755286</td>\n",
              "      <td>2.375714</td>\n",
              "      <td>1.640429</td>\n",
              "      <td>1.242714</td>\n",
              "      <td>1.623000</td>\n",
              "      <td>0.047857</td>\n",
              "      <td>0.065000</td>\n",
              "      <td>0.514714</td>\n",
              "      <td>0.418857</td>\n",
              "      <td>0.448143</td>\n",
              "      <td>0.464500</td>\n",
              "      <td>0.686429</td>\n",
              "      <td>0.060857</td>\n",
              "      <td>0.047500</td>\n",
              "      <td>0.066375</td>\n",
              "      <td>0.253625</td>\n",
              "      <td>0.131375</td>\n",
              "      <td>0.159000</td>\n",
              "      <td>0.544625</td>\n",
              "      <td>0.193375</td>\n",
              "      <td>0.047625</td>\n",
              "      <td>0.249714</td>\n",
              "      <td>0.231857</td>\n",
              "      <td>0.403429</td>\n",
              "      <td>...</td>\n",
              "      <td>3.511375</td>\n",
              "      <td>3.767125</td>\n",
              "      <td>3.865500</td>\n",
              "      <td>3.000750</td>\n",
              "      <td>1.182875</td>\n",
              "      <td>2.971500</td>\n",
              "      <td>3.488500</td>\n",
              "      <td>3.386875</td>\n",
              "      <td>3.070250</td>\n",
              "      <td>3.182000</td>\n",
              "      <td>2.621625</td>\n",
              "      <td>0.642875</td>\n",
              "      <td>2.467250</td>\n",
              "      <td>2.860250</td>\n",
              "      <td>3.147750</td>\n",
              "      <td>3.184125</td>\n",
              "      <td>2.737125</td>\n",
              "      <td>2.057875</td>\n",
              "      <td>0.587250</td>\n",
              "      <td>2.553500</td>\n",
              "      <td>3.092375</td>\n",
              "      <td>2.478750</td>\n",
              "      <td>2.713875</td>\n",
              "      <td>3.140875</td>\n",
              "      <td>2.166625</td>\n",
              "      <td>1.223875</td>\n",
              "      <td>2.412875</td>\n",
              "      <td>2.370375</td>\n",
              "      <td>2.799750</td>\n",
              "      <td>2.722500</td>\n",
              "      <td>3.339714</td>\n",
              "      <td>2.227429</td>\n",
              "      <td>1.105875</td>\n",
              "      <td>2.596250</td>\n",
              "      <td>2.740125</td>\n",
              "      <td>3.051750</td>\n",
              "      <td>0.392625</td>\n",
              "      <td>1.778250</td>\n",
              "      <td>1.583500</td>\n",
              "      <td>1.018875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Arizona</td>\n",
              "      <td>3.702000</td>\n",
              "      <td>5.356867</td>\n",
              "      <td>5.440200</td>\n",
              "      <td>5.410750</td>\n",
              "      <td>5.790562</td>\n",
              "      <td>7.026600</td>\n",
              "      <td>5.423000</td>\n",
              "      <td>3.859933</td>\n",
              "      <td>5.487933</td>\n",
              "      <td>6.023600</td>\n",
              "      <td>5.668187</td>\n",
              "      <td>5.009063</td>\n",
              "      <td>8.227438</td>\n",
              "      <td>5.126933</td>\n",
              "      <td>4.876867</td>\n",
              "      <td>4.947600</td>\n",
              "      <td>4.467933</td>\n",
              "      <td>3.296067</td>\n",
              "      <td>3.009200</td>\n",
              "      <td>4.333867</td>\n",
              "      <td>2.181933</td>\n",
              "      <td>1.075067</td>\n",
              "      <td>1.979133</td>\n",
              "      <td>2.171562</td>\n",
              "      <td>2.256067</td>\n",
              "      <td>1.928688</td>\n",
              "      <td>1.917333</td>\n",
              "      <td>1.150933</td>\n",
              "      <td>0.590812</td>\n",
              "      <td>1.429000</td>\n",
              "      <td>1.578125</td>\n",
              "      <td>1.175937</td>\n",
              "      <td>1.322313</td>\n",
              "      <td>1.979067</td>\n",
              "      <td>0.777000</td>\n",
              "      <td>0.510733</td>\n",
              "      <td>1.130200</td>\n",
              "      <td>1.281125</td>\n",
              "      <td>1.069467</td>\n",
              "      <td>...</td>\n",
              "      <td>4.455500</td>\n",
              "      <td>5.443500</td>\n",
              "      <td>6.201750</td>\n",
              "      <td>4.284000</td>\n",
              "      <td>2.773063</td>\n",
              "      <td>3.499625</td>\n",
              "      <td>4.189062</td>\n",
              "      <td>4.282750</td>\n",
              "      <td>4.836250</td>\n",
              "      <td>5.175625</td>\n",
              "      <td>3.692125</td>\n",
              "      <td>2.235125</td>\n",
              "      <td>3.426312</td>\n",
              "      <td>3.782500</td>\n",
              "      <td>3.869313</td>\n",
              "      <td>3.713500</td>\n",
              "      <td>4.217000</td>\n",
              "      <td>2.984812</td>\n",
              "      <td>1.821250</td>\n",
              "      <td>2.820187</td>\n",
              "      <td>4.347375</td>\n",
              "      <td>4.095687</td>\n",
              "      <td>3.980812</td>\n",
              "      <td>4.418125</td>\n",
              "      <td>3.596750</td>\n",
              "      <td>2.442937</td>\n",
              "      <td>3.247062</td>\n",
              "      <td>3.508375</td>\n",
              "      <td>4.328938</td>\n",
              "      <td>4.493062</td>\n",
              "      <td>4.979000</td>\n",
              "      <td>3.805188</td>\n",
              "      <td>2.339000</td>\n",
              "      <td>3.709375</td>\n",
              "      <td>3.974062</td>\n",
              "      <td>5.051812</td>\n",
              "      <td>1.017625</td>\n",
              "      <td>2.481875</td>\n",
              "      <td>3.225000</td>\n",
              "      <td>2.343813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Arkansas</td>\n",
              "      <td>8.344141</td>\n",
              "      <td>12.619333</td>\n",
              "      <td>12.986658</td>\n",
              "      <td>12.312444</td>\n",
              "      <td>13.862863</td>\n",
              "      <td>16.397662</td>\n",
              "      <td>14.978562</td>\n",
              "      <td>9.208959</td>\n",
              "      <td>11.611986</td>\n",
              "      <td>12.596534</td>\n",
              "      <td>12.233070</td>\n",
              "      <td>13.314083</td>\n",
              "      <td>13.428384</td>\n",
              "      <td>9.575347</td>\n",
              "      <td>6.305972</td>\n",
              "      <td>9.731431</td>\n",
              "      <td>9.481041</td>\n",
              "      <td>8.467548</td>\n",
              "      <td>8.913528</td>\n",
              "      <td>9.988211</td>\n",
              "      <td>6.341574</td>\n",
              "      <td>2.295557</td>\n",
              "      <td>7.042889</td>\n",
              "      <td>6.724000</td>\n",
              "      <td>8.055528</td>\n",
              "      <td>8.626722</td>\n",
              "      <td>8.658425</td>\n",
              "      <td>4.350151</td>\n",
              "      <td>4.990027</td>\n",
              "      <td>5.960575</td>\n",
              "      <td>6.473361</td>\n",
              "      <td>7.909151</td>\n",
              "      <td>7.620425</td>\n",
              "      <td>7.362959</td>\n",
              "      <td>3.662817</td>\n",
              "      <td>3.396986</td>\n",
              "      <td>6.804653</td>\n",
              "      <td>6.607111</td>\n",
              "      <td>7.374437</td>\n",
              "      <td>...</td>\n",
              "      <td>11.370616</td>\n",
              "      <td>11.693027</td>\n",
              "      <td>13.709575</td>\n",
              "      <td>10.539890</td>\n",
              "      <td>7.077589</td>\n",
              "      <td>9.714932</td>\n",
              "      <td>10.324986</td>\n",
              "      <td>10.011274</td>\n",
              "      <td>11.389753</td>\n",
              "      <td>13.392068</td>\n",
              "      <td>10.141178</td>\n",
              "      <td>6.525137</td>\n",
              "      <td>9.836479</td>\n",
              "      <td>10.511288</td>\n",
              "      <td>11.362425</td>\n",
              "      <td>10.937808</td>\n",
              "      <td>12.602000</td>\n",
              "      <td>9.787247</td>\n",
              "      <td>7.612041</td>\n",
              "      <td>9.532342</td>\n",
              "      <td>11.257753</td>\n",
              "      <td>11.011493</td>\n",
              "      <td>11.091452</td>\n",
              "      <td>12.932904</td>\n",
              "      <td>8.237863</td>\n",
              "      <td>7.580411</td>\n",
              "      <td>9.362041</td>\n",
              "      <td>10.376164</td>\n",
              "      <td>11.661000</td>\n",
              "      <td>12.319699</td>\n",
              "      <td>13.755603</td>\n",
              "      <td>10.755342</td>\n",
              "      <td>7.749658</td>\n",
              "      <td>10.570247</td>\n",
              "      <td>11.274384</td>\n",
              "      <td>11.310110</td>\n",
              "      <td>6.014507</td>\n",
              "      <td>9.317027</td>\n",
              "      <td>9.312301</td>\n",
              "      <td>6.256315</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>California</td>\n",
              "      <td>9.722800</td>\n",
              "      <td>6.367167</td>\n",
              "      <td>6.404185</td>\n",
              "      <td>6.464345</td>\n",
              "      <td>6.893909</td>\n",
              "      <td>7.470037</td>\n",
              "      <td>5.184327</td>\n",
              "      <td>4.892927</td>\n",
              "      <td>6.083537</td>\n",
              "      <td>6.519500</td>\n",
              "      <td>6.359000</td>\n",
              "      <td>6.307127</td>\n",
              "      <td>6.503926</td>\n",
              "      <td>3.216891</td>\n",
              "      <td>2.778909</td>\n",
              "      <td>4.525630</td>\n",
              "      <td>3.484056</td>\n",
              "      <td>3.191377</td>\n",
              "      <td>2.857132</td>\n",
              "      <td>3.199942</td>\n",
              "      <td>1.112192</td>\n",
              "      <td>0.574132</td>\n",
              "      <td>1.638321</td>\n",
              "      <td>1.304717</td>\n",
              "      <td>1.590358</td>\n",
              "      <td>1.546926</td>\n",
              "      <td>2.382889</td>\n",
              "      <td>0.502585</td>\n",
              "      <td>0.204741</td>\n",
              "      <td>1.198667</td>\n",
              "      <td>1.467868</td>\n",
              "      <td>1.470907</td>\n",
              "      <td>1.666056</td>\n",
              "      <td>2.045315</td>\n",
              "      <td>0.417519</td>\n",
              "      <td>0.065389</td>\n",
              "      <td>0.917830</td>\n",
              "      <td>1.301245</td>\n",
              "      <td>1.368389</td>\n",
              "      <td>...</td>\n",
              "      <td>3.566927</td>\n",
              "      <td>3.826455</td>\n",
              "      <td>4.599273</td>\n",
              "      <td>2.960145</td>\n",
              "      <td>2.130236</td>\n",
              "      <td>3.278618</td>\n",
              "      <td>3.651836</td>\n",
              "      <td>3.274073</td>\n",
              "      <td>3.566818</td>\n",
              "      <td>3.888436</td>\n",
              "      <td>2.640618</td>\n",
              "      <td>1.227236</td>\n",
              "      <td>2.693291</td>\n",
              "      <td>2.849382</td>\n",
              "      <td>2.860873</td>\n",
              "      <td>2.886436</td>\n",
              "      <td>2.922273</td>\n",
              "      <td>2.062582</td>\n",
              "      <td>1.035927</td>\n",
              "      <td>2.171727</td>\n",
              "      <td>3.807727</td>\n",
              "      <td>2.953855</td>\n",
              "      <td>2.652145</td>\n",
              "      <td>2.886491</td>\n",
              "      <td>2.037618</td>\n",
              "      <td>1.577073</td>\n",
              "      <td>2.386800</td>\n",
              "      <td>2.308436</td>\n",
              "      <td>2.605836</td>\n",
              "      <td>2.940309</td>\n",
              "      <td>3.365455</td>\n",
              "      <td>2.145527</td>\n",
              "      <td>1.205855</td>\n",
              "      <td>2.510327</td>\n",
              "      <td>2.699127</td>\n",
              "      <td>3.282727</td>\n",
              "      <td>0.395455</td>\n",
              "      <td>1.159491</td>\n",
              "      <td>1.620582</td>\n",
              "      <td>2.520745</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 272 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       admin1  2020-03-01  2020-03-02  ...  2020-11-27  2020-11-28  2020-11-29\n",
              "0     Alabama   10.871941   14.345132  ...   11.244456    9.428147    7.551765\n",
              "1      Alaska    0.864143    3.127000  ...    1.778250    1.583500    1.018875\n",
              "2     Arizona    3.702000    5.356867  ...    2.481875    3.225000    2.343813\n",
              "3    Arkansas    8.344141   12.619333  ...    9.317027    9.312301    6.256315\n",
              "4  California    9.722800    6.367167  ...    1.159491    1.620582    2.520745\n",
              "\n",
              "[5 rows x 272 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EVdCkp1C0qdz"
      },
      "source": [
        "agg_df2."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2CMOJLT40gMD"
      },
      "source": [
        "#EDA Basic Plotting for Cases by Date\n",
        "date = us_df['date']\n",
        "cases_inc = us_df['cases_increase']\n",
        "deaths_inc = us_df['deaths_increase']\n",
        "\n",
        "fig, ax = plt.subplots(2, figsize = (16,12))\n",
        "\n",
        "ax[0].bar(date, cases_inc, color = 'black')\n",
        "ax[0].plot(date, cases_inc.rolling(7).mean(), color = 'black')\n",
        "ax[1].bar(date, deaths_inc, color = 'green')\n",
        "ax[1].plot(date, deaths_inc.rolling(7).mean(), color = 'green')\n",
        "\n",
        "labels = ['Cases','Deaths']\n",
        "\n",
        "for i in (range(0,2)):\n",
        "    ax[i].set_title(f\"Covid Cases/Deaths Increase, by Day\", fontsize = 14)\n",
        "    ax[i].grid(which = 'both', color='r', linestyle='-', linewidth=.5)\n",
        "    ax[i].set_xlabel(\"Days after the start of US COVID\", labelpad=15, fontsize=12, color=\"#333533\");\n",
        "    ax[i].set_ylabel(f\"{labels[i]} (per 100k)\", labelpad=15, fontsize=12, color=\"#333533\");"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "E_4wuTZZzYPz",
        "outputId": "0b7b7a73-ef67-4858-b071-b0e49d313443"
      },
      "source": [
        "\n",
        "plt.plot(agg_df2)"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fda53a892b0>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qrf4lL3Ryobl"
      },
      "source": [
        "#Small function to convert it back to datetime\n",
        "def chg_date(input_list):\n",
        "    new_dates = []\n",
        "\n",
        "    for i in input_list:\n",
        "        date_output = datetime.strptime(i,'%Y-%m-%d').date()\n",
        "        new_dates.append(date_output)\n",
        "    \n",
        "    return new_dates"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}