Project.ipynb

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    "colab": {
      "name": "Untitled0.ipynb",
      "provenance": [],
      "mount_file_id": "1Ydxz0_DKfKNKDQrNZwEjMkaBi6oAjkZF",
      "authorship_tag": "ABX9TyMLu9OeprB/P++dyLI2BEfQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SparshRastogi/Covid-19-Risk-Calculator/blob/main/Project.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J0OlFHxjNQuj"
      },
      "source": [
        "import requests\n",
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "97SSUhunNZBM",
        "outputId": "d372c66f-93c1-406a-b63e-67a456c09f81"
      },
      "source": [
        "pip install py-polars"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting py-polars\n",
            "  Downloading py-polars-0.8.10.tar.gz (1.6 kB)\n",
            "Collecting polars==0.8.10\n",
            "  Downloading polars-0.8.10-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (10.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 10.3 MB 4.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from polars==0.8.10->py-polars) (1.19.5)\n",
            "Collecting pyarrow==4.0.*\n",
            "  Downloading pyarrow-4.0.1-cp37-cp37m-manylinux2014_x86_64.whl (21.8 MB)\n",
            "\u001b[K     |████████████████████████████████| 21.8 MB 1.3 MB/s \n",
            "\u001b[?25hBuilding wheels for collected packages: py-polars\n",
            "  Building wheel for py-polars (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for py-polars: filename=py_polars-0.8.10-py3-none-any.whl size=2477 sha256=95615615b5620419be798ff2cbd23c43ceeb9e9c484f4f861df8685d289632b6\n",
            "  Stored in directory: /root/.cache/pip/wheels/ad/de/fb/8a3696ed389eec6be738b2ad947159d8861ffad8d891c1c32d\n",
            "Successfully built py-polars\n",
            "Installing collected packages: pyarrow, polars, py-polars\n",
            "  Attempting uninstall: pyarrow\n",
            "    Found existing installation: pyarrow 3.0.0\n",
            "    Uninstalling pyarrow-3.0.0:\n",
            "      Successfully uninstalled pyarrow-3.0.0\n",
            "Successfully installed polars-0.8.10 py-polars-0.8.10 pyarrow-4.0.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pNqlJv2GNm9t",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "79c56c43-6a01-457b-8d1c-c9f9ff55a468"
      },
      "source": [
        "import pypolars as pl"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING!\n",
            "py-polars was renamed to polars, please install polars!\n",
            "https://pypi.org/project/polars/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0vEcqvarNutR"
      },
      "source": [
        "url = 'https://www.gstatic.com/covid19/mobility/Global_Mobility_Report.csv'\n",
        "df = pl.read_csv(url)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5PjYF8mCQvWK"
      },
      "source": [
        "url = 'https://data.cdc.gov/api/views/8xkx-amqh/rows.csv?'\n",
        "df1 = pl.read_csv(url)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "PZbBz0E2PA1I",
        "outputId": "e6d7d138-3b93-4322-b00a-abbe1c423f06"
      },
      "source": [
        "df1"
      ],
      "execution_count": null,
      "outputs": [
        {
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              "\"C\"\n",
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              "40.5\n",
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              "53.1\n",
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              "<td>\n",
              "4635\n",
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              "<td>\n",
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              "66.5\n",
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              "<td>\n",
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              "<td>\n",
              "\"C\"\n",
              "</td>\n",
              "<td>\n",
              "11\n",
              "</td>\n",
              "<td>\n",
              "12\n",
              "</td>\n",
              "<td>\n",
              "12\n",
              "</td>\n",
              "<td>\n",
              "12\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"10/09/2021\"\n",
              "</td>\n",
              "<td>\n",
              "\"47123\"\n",
              "</td>\n",
              "<td>\n",
              "40\n",
              "</td>\n",
              "<td>\n",
              "\"Monroe County\"\n",
              "</td>\n",
              "<td>\n",
              "\"TN\"\n",
              "</td>\n",
              "<td>\n",
              "37.9\n",
              "</td>\n",
              "<td>\n",
              "17631\n",
              "</td>\n",
              "<td>\n",
              "17631\n",
              "</td>\n",
              "<td>\n",
              "43.7\n",
              "</td>\n",
              "<td>\n",
              "17182\n",
              "</td>\n",
              "<td>\n",
              "46.7\n",
              "</td>\n",
              "<td>\n",
              "7152\n",
              "</td>\n",
              "<td>\n",
              "71.7\n",
              "</td>\n",
              "<td>\n",
              "97.9\n",
              "</td>\n",
              "<td>\n",
              "19809\n",
              "</td>\n",
              "<td>\n",
              "42.6\n",
              "</td>\n",
              "<td>\n",
              "19808\n",
              "</td>\n",
              "<td>\n",
              "49.1\n",
              "</td>\n",
              "<td>\n",
              "19258\n",
              "</td>\n",
              "<td>\n",
              "52.3\n",
              "</td>\n",
              "<td>\n",
              "7633\n",
              "</td>\n",
              "<td>\n",
              "76.5\n",
              "</td>\n",
              "<td>\n",
              "\"C\"\n",
              "</td>\n",
              "<td>\n",
              "10\n",
              "</td>\n",
              "<td>\n",
              "11\n",
              "</td>\n",
              "<td>\n",
              "11\n",
              "</td>\n",
              "<td>\n",
              "12\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "6\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"10/09/2021\"\n",
              "</td>\n",
              "<td>\n",
              "\"34013\"\n",
              "</td>\n",
              "<td>\n",
              "40\n",
              "</td>\n",
              "<td>\n",
              "\"Essex County\"\n",
              "</td>\n",
              "<td>\n",
              "\"NJ\"\n",
              "</td>\n",
              "<td>\n",
              "59.7\n",
              "</td>\n",
              "<td>\n",
              "476986\n",
              "</td>\n",
              "<td>\n",
              "476972\n",
              "</td>\n",
              "<td>\n",
              "71\n",
              "</td>\n",
              "<td>\n",
              "441356\n",
              "</td>\n",
              "<td>\n",
              "72.4\n",
              "</td>\n",
              "<td>\n",
              "87304\n",
              "</td>\n",
              "<td>\n",
              "78.6\n",
              "</td>\n",
              "<td>\n",
              "93.5\n",
              "</td>\n",
              "<td>\n",
              "559045\n",
              "</td>\n",
              "<td>\n",
              "70\n",
              "</td>\n",
              "<td>\n",
              "558966\n",
              "</td>\n",
              "<td>\n",
              "83.2\n",
              "</td>\n",
              "<td>\n",
              "516665\n",
              "</td>\n",
              "<td>\n",
              "84.8\n",
              "</td>\n",
              "<td>\n",
              "101745\n",
              "</td>\n",
              "<td>\n",
              "91.6\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "16\n",
              "</td>\n",
              "<td>\n",
              "16\n",
              "</td>\n",
              "<td>\n",
              "16\n",
              "</td>\n",
              "<td>\n",
              "16\n",
              "</td>\n",
              "<td>\n",
              "\"Metro\"\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"10/09/2021\"\n",
              "</td>\n",
              "<td>\n",
              "\"20121\"\n",
              "</td>\n",
              "<td>\n",
              "40\n",
              "</td>\n",
              "<td>\n",
              "\"Miami County\"\n",
              "</td>\n",
              "<td>\n",
              "\"KS\"\n",
              "</td>\n",
              "<td>\n",
              "42\n",
              "</td>\n",
              "<td>\n",
              "14377\n",
              "</td>\n",
              "<td>\n",
              "14377\n",
              "</td>\n",
              "<td>\n",
              "49.7\n",
              "</td>\n",
              "<td>\n",
              "13475\n",
              "</td>\n",
              "<td>\n",
              "52.1\n",
              "</td>\n",
              "<td>\n",
              "4307\n",
              "</td>\n",
              "<td>\n",
              "73.7\n",
              "</td>\n",
              "<td>\n",
              "93.6\n",
              "</td>\n",
              "<td>\n",
              "15927\n",
              "</td>\n",
              "<td>\n",
              "46.5\n",
              "</td>\n",
              "<td>\n",
              "15927\n",
              "</td>\n",
              "<td>\n",
              "55.1\n",
              "</td>\n",
              "<td>\n",
              "14861\n",
              "</td>\n",
              "<td>\n",
              "57.4\n",
              "</td>\n",
              "<td>\n",
              "4687\n",
              "</td>\n",
              "<td>\n",
              "80.2\n",
              "</td>\n",
              "<td>\n",
              "\"A\"\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "<td>\n",
              "\"Metro\"\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"10/09/2021\"\n",
              "</td>\n",
              "<td>\n",
              "\"19175\"\n",
              "</td>\n",
              "<td>\n",
              "40\n",
              "</td>\n",
              "<td>\n",
              "\"Union County\"\n",
              "</td>\n",
              "<td>\n",
              "\"IA\"\n",
              "</td>\n",
              "<td>\n",
              "45.9\n",
              "</td>\n",
              "<td>\n",
              "5622\n",
              "</td>\n",
              "<td>\n",
              "5622\n",
              "</td>\n",
              "<td>\n",
              "53.3\n",
              "</td>\n",
              "<td>\n",
              "5372\n",
              "</td>\n",
              "<td>\n",
              "56.5\n",
              "</td>\n",
              "<td>\n",
              "2132\n",
              "</td>\n",
              "<td>\n",
              "82.9\n",
              "</td>\n",
              "<td>\n",
              "97.5\n",
              "</td>\n",
              "<td>\n",
              "6036\n",
              "</td>\n",
              "<td>\n",
              "49.3\n",
              "</td>\n",
              "<td>\n",
              "6036\n",
              "</td>\n",
              "<td>\n",
              "57.3\n",
              "</td>\n",
              "<td>\n",
              "5743\n",
              "</td>\n",
              "<td>\n",
              "60.4\n",
              "</td>\n",
              "<td>\n",
              "2212\n",
              "</td>\n",
              "<td>\n",
              "86\n",
              "</td>\n",
              "<td>\n",
              "\"B\"\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"10/09/2021\"\n",
              "</td>\n",
              "<td>\n",
              "\"18119\"\n",
              "</td>\n",
              "<td>\n",
              "40\n",
              "</td>\n",
              "<td>\n",
              "\"Owen County\"\n",
              "</td>\n",
              "<td>\n",
              "\"IN\"\n",
              "</td>\n",
              "<td>\n",
              "38.8\n",
              "</td>\n",
              "<td>\n",
              "8067\n",
              "</td>\n",
              "<td>\n",
              "8067\n",
              "</td>\n",
              "<td>\n",
              "44.6\n",
              "</td>\n",
              "<td>\n",
              "7741\n",
              "</td>\n",
              "<td>\n",
              "47\n",
              "</td>\n",
              "<td>\n",
              "2926\n",
              "</td>\n",
              "<td>\n",
              "70.6\n",
              "</td>\n",
              "<td>\n",
              "98.7\n",
              "</td>\n",
              "<td>\n",
              "8611\n",
              "</td>\n",
              "<td>\n",
              "41.4\n",
              "</td>\n",
              "<td>\n",
              "8611\n",
              "</td>\n",
              "<td>\n",
              "47.6\n",
              "</td>\n",
              "<td>\n",
              "8219\n",
              "</td>\n",
              "<td>\n",
              "49.9\n",
              "</td>\n",
              "<td>\n",
              "3006\n",
              "</td>\n",
              "<td>\n",
              "72.5\n",
              "</td>\n",
              "<td>\n",
              "\"B\"\n",
              "</td>\n",
              "<td>\n",
              "6\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "8\n",
              "</td>\n",
              "<td>\n",
              "\"Metro\"\n",
              "</td>\n",
              "<td>\n",
              "2\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "4\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"10/09/2021\"\n",
              "</td>\n",
              "<td>\n",
              "\"22027\"\n",
              "</td>\n",
              "<td>\n",
              "40\n",
              "</td>\n",
              "<td>\n",
              "\"Claiborne Parish\"\n",
              "</td>\n",
              "<td>\n",
              "\"LA\"\n",
              "</td>\n",
              "<td>\n",
              "36.3\n",
              "</td>\n",
              "<td>\n",
              "5689\n",
              "</td>\n",
              "<td>\n",
              "5689\n",
              "</td>\n",
              "<td>\n",
              "41.2\n",
              "</td>\n",
              "<td>\n",
              "5504\n",
              "</td>\n",
              "<td>\n",
              "42.6\n",
              "</td>\n",
              "<td>\n",
              "2001\n",
              "</td>\n",
              "<td>\n",
              "65.5\n",
              "</td>\n",
              "<td>\n",
              "96.6\n",
              "</td>\n",
              "<td>\n",
              "6224\n",
              "</td>\n",
              "<td>\n",
              "39.7\n",
              "</td>\n",
              "<td>\n",
              "6224\n",
              "</td>\n",
              "<td>\n",
              "45.1\n",
              "</td>\n",
              "<td>\n",
              "5975\n",
              "</td>\n",
              "<td>\n",
              "46.3\n",
              "</td>\n",
              "<td>\n",
              "2083\n",
              "</td>\n",
              "<td>\n",
              "68.2\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "14\n",
              "</td>\n",
              "<td>\n",
              "15\n",
              "</td>\n",
              "<td>\n",
              "15\n",
              "</td>\n",
              "<td>\n",
              "15\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "6\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"10/09/2021\"\n",
              "</td>\n",
              "<td>\n",
              "\"31137\"\n",
              "</td>\n",
              "<td>\n",
              "40\n",
              "</td>\n",
              "<td>\n",
              "\"Phelps County\"\n",
              "</td>\n",
              "<td>\n",
              "\"NE\"\n",
              "</td>\n",
              "<td>\n",
              "34\n",
              "</td>\n",
              "<td>\n",
              "3073\n",
              "</td>\n",
              "<td>\n",
              "3073\n",
              "</td>\n",
              "<td>\n",
              "40.2\n",
              "</td>\n",
              "<td>\n",
              "2933\n",
              "</td>\n",
              "<td>\n",
              "42.5\n",
              "</td>\n",
              "<td>\n",
              "1164\n",
              "</td>\n",
              "<td>\n",
              "60.8\n",
              "</td>\n",
              "<td>\n",
              "89.6\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"A\"\n",
              "</td>\n",
              "<td>\n",
              "2\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "3\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "6\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "<td>\n",
              "7\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "<td>\n",
              "...\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"48445\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Terry County\"\n",
              "</td>\n",
              "<td>\n",
              "\"TX\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"40091\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"McIntosh County\"\n",
              "</td>\n",
              "<td>\n",
              "\"OK\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"18129\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Posey County\"\n",
              "</td>\n",
              "<td>\n",
              "\"IN\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"A\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"08077\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Mesa County\"\n",
              "</td>\n",
              "<td>\n",
              "\"CO\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"C\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"20099\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Labette County\"\n",
              "</td>\n",
              "<td>\n",
              "\"KS\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"C\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"72055\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Guanica Municipio\"\n",
              "</td>\n",
              "<td>\n",
              "\"PR\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"16033\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Clark County\"\n",
              "</td>\n",
              "<td>\n",
              "\"ID\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"37199\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Yancey County\"\n",
              "</td>\n",
              "<td>\n",
              "\"NC\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"C\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"51183\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Sussex County\"\n",
              "</td>\n",
              "<td>\n",
              "\"VA\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"05115\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Pope County\"\n",
              "</td>\n",
              "<td>\n",
              "\"AR\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
              "</td>\n",
              "<td>\n",
              "\"37005\"\n",
              "</td>\n",
              "<td>\n",
              "51\n",
              "</td>\n",
              "<td>\n",
              "\"Alleghany County\"\n",
              "</td>\n",
              "<td>\n",
              "\"NC\"\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "0\n",
              "</td>\n",
              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"C\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "null\n",
              "</td>\n",
              "<td>\n",
              "\"Non-metro\"\n",
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              "<td>\n",
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              "<td>\n",
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              "</tr>\n",
              "<tr>\n",
              "<td>\n",
              "\"12/13/2020\"\n",
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              "<td>\n",
              "\"05001\"\n",
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              "<td>\n",
              "51\n",
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              "<td>\n",
              "\"Arkansas County\"\n",
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              "0.0\n",
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              "0.0\n",
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              "<td>\n",
              "0.0\n",
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              "<td>\n",
              "0.0\n",
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              "0\n",
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              "0.0\n",
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              "0\n",
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              "<td>\n",
              "0.0\n",
              "</td>\n",
              "<td>\n",
              "\"D\"\n",
              "</td>\n",
              "<td>\n",
              "null\n",
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              "<td>\n",
              "null\n",
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              "<td>\n",
              "null\n",
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              "<td>\n",
              "null\n",
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              "<td>\n",
              "\"Non-metro\"\n",
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              "<td>\n",
              "null\n",
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              "<td>\n",
              "null\n",
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            "text/plain": [
              "shape: (987886, 32)\n",
              "╭───────────┬─────────┬───────────┬───────────┬─────┬───────────┬───────────┬───────────┬──────────╮\n",
              "│ Date      ┆ FIPS    ┆ MMWR_week ┆ Recip_Cou ┆ ... ┆ Series_Co ┆ Series_Co ┆ Series_Co ┆ Series_C │\n",
              "│ ---       ┆ ---     ┆ ---       ┆ nty       ┆     ┆ mplete_Po ┆ mplete_12 ┆ mplete_18 ┆ omplete_ │\n",
              "│ str       ┆ str     ┆ i64       ┆ ---       ┆     ┆ p_Pct_UR_ ┆ PlusPop_P ┆ PlusPop_P ┆ 65PlusPo │\n",
              "│           ┆         ┆           ┆ str       ┆     ┆ Equity    ┆ ct_UR_Equ ┆ ct_UR_Equ ┆ p_Pct_UR │\n",
              "│           ┆         ┆           ┆           ┆     ┆ ---       ┆ ity       ┆ ity       ┆ _Equity  │\n",
              "│           ┆         ┆           ┆           ┆     ┆ i64       ┆ ---       ┆ ---       ┆ ---      │\n",
              "│           ┆         ┆           ┆           ┆     ┆           ┆ i64       ┆ i64       ┆ i64      │\n",
              "╞═══════════╪═════════╪═══════════╪═══════════╪═════╪═══════════╪═══════════╪═══════════╪══════════╡\n",
              "│ \"10/09/20 ┆ \"04025\" ┆ 40        ┆ \"Yavapai  ┆ ... ┆ 2         ┆ 3         ┆ 3         ┆ 3        │\n",
              "│ 21\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"10/09/20 ┆ \"21009\" ┆ 40        ┆ \"Barren   ┆ ... ┆ 7         ┆ 7         ┆ 8         ┆ 8        │\n",
              "│ 21\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"10/09/20 ┆ \"21007\" ┆ 40        ┆ \"Ballard  ┆ ... ┆ 6         ┆ 6         ┆ 6         ┆ 7        │\n",
              "│ 21\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"10/09/20 ┆ \"21091\" ┆ 40        ┆ \"Hancock  ┆ ... ┆ 4         ┆ 4         ┆ 4         ┆ 4        │\n",
              "│ 21\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ ...       ┆ ...     ┆ ...       ┆ ...       ┆ ... ┆ ...       ┆ ...       ┆ ...       ┆ ...      │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"12/13/20 ┆ \"37199\" ┆ 51        ┆ \"Yancey   ┆ ... ┆ null      ┆ null      ┆ null      ┆ null     │\n",
              "│ 20\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"12/13/20 ┆ \"51183\" ┆ 51        ┆ \"Sussex   ┆ ... ┆ null      ┆ null      ┆ null      ┆ null     │\n",
              "│ 20\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"12/13/20 ┆ \"05115\" ┆ 51        ┆ \"Pope     ┆ ... ┆ null      ┆ null      ┆ null      ┆ null     │\n",
              "│ 20\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"12/13/20 ┆ \"37005\" ┆ 51        ┆ \"Alleghan ┆ ... ┆ null      ┆ null      ┆ null      ┆ null     │\n",
              "│ 20\"       ┆         ┆           ┆ y County\" ┆     ┆           ┆           ┆           ┆          │\n",
              "├╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┤\n",
              "│ \"12/13/20 ┆ \"05001\" ┆ 51        ┆ \"Arkansas ┆ ... ┆ null      ┆ null      ┆ null      ┆ null     │\n",
              "│ 20\"       ┆         ┆           ┆ County\"   ┆     ┆           ┆           ┆           ┆          │\n",
              "╰───────────┴─────────┴───────────┴───────────┴─────┴───────────┴───────────┴───────────┴──────────╯"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5LIs9N1LPoJw"
      },
      "source": [
        "df = df.to_pandas()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bkes2LPJRc9s"
      },
      "source": [
        "df1 = df1.to_pandas()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "8n6g5bG7RhL1",
        "outputId": "801e42a5-5270-4c51-b05a-e913ae4c3be9"
      },
      "source": [
        "df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country_region_code</th>\n",
              "      <th>country_region</th>\n",
              "      <th>sub_region_1</th>\n",
              "      <th>sub_region_2</th>\n",
              "      <th>metro_area</th>\n",
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              "      <th>place_id</th>\n",
              "      <th>date</th>\n",
              "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
              "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
              "      <th>parks_percent_change_from_baseline</th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <td></td>\n",
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              "      <td>2021-10-05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>45.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>7168450 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        country_region_code  ... residential_percent_change_from_baseline\n",
              "0                        AE  ...                                      1.0\n",
              "1                        AE  ...                                      1.0\n",
              "2                        AE  ...                                      1.0\n",
              "3                        AE  ...                                      1.0\n",
              "4                        AE  ...                                      1.0\n",
              "...                     ...  ...                                      ...\n",
              "7168445                  ZW  ...                                      NaN\n",
              "7168446                  ZW  ...                                      NaN\n",
              "7168447                  ZW  ...                                      NaN\n",
              "7168448                  ZW  ...                                      NaN\n",
              "7168449                  ZW  ...                                      NaN\n",
              "\n",
              "[7168450 rows x 15 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 505
        },
        "id": "AbabEC1TaVGz",
        "outputId": "ac1ae903-e740-414c-ebdd-8e9e355e1e5e"
      },
      "source": [
        "df1"
      ],
      "execution_count": null,
      "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",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>FIPS</th>\n",
              "      <th>MMWR_week</th>\n",
              "      <th>Recip_County</th>\n",
              "      <th>Recip_State</th>\n",
              "      <th>Series_Complete_Pop_Pct</th>\n",
              "      <th>Series_Complete_Yes</th>\n",
              "      <th>Series_Complete_12Plus</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct</th>\n",
              "      <th>Series_Complete_18Plus</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct</th>\n",
              "      <th>Series_Complete_65Plus</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct</th>\n",
              "      <th>Completeness_pct</th>\n",
              "      <th>Administered_Dose1_Recip</th>\n",
              "      <th>Administered_Dose1_Pop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_12Plus</th>\n",
              "      <th>Administered_Dose1_Recip_12PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_18Plus</th>\n",
              "      <th>Administered_Dose1_Recip_18PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_65Plus</th>\n",
              "      <th>Administered_Dose1_Recip_65PlusPop_Pct</th>\n",
              "      <th>SVI_CTGY</th>\n",
              "      <th>Series_Complete_Pop_Pct_SVI</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_SVI</th>\n",
              "      <th>Metro_status</th>\n",
              "      <th>Series_Complete_Pop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_UR_Equity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10/09/2021</td>\n",
              "      <td>04025</td>\n",
              "      <td>40</td>\n",
              "      <td>Yavapai County</td>\n",
              "      <td>AZ</td>\n",
              "      <td>39.9</td>\n",
              "      <td>93695</td>\n",
              "      <td>93690.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>90975</td>\n",
              "      <td>46.0</td>\n",
              "      <td>47462</td>\n",
              "      <td>62.1</td>\n",
              "      <td>97.6</td>\n",
              "      <td>116143.0</td>\n",
              "      <td>49.4</td>\n",
              "      <td>116124.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>112729.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>57138.0</td>\n",
              "      <td>74.8</td>\n",
              "      <td>C</td>\n",
              "      <td>10.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10/09/2021</td>\n",
              "      <td>21009</td>\n",
              "      <td>40</td>\n",
              "      <td>Barren County</td>\n",
              "      <td>KY</td>\n",
              "      <td>40.5</td>\n",
              "      <td>17899</td>\n",
              "      <td>17899.0</td>\n",
              "      <td>47.9</td>\n",
              "      <td>17034</td>\n",
              "      <td>50.3</td>\n",
              "      <td>5824</td>\n",
              "      <td>73.1</td>\n",
              "      <td>94.4</td>\n",
              "      <td>20240.0</td>\n",
              "      <td>45.7</td>\n",
              "      <td>20238.0</td>\n",
              "      <td>54.1</td>\n",
              "      <td>19157.0</td>\n",
              "      <td>56.6</td>\n",
              "      <td>6254.0</td>\n",
              "      <td>78.5</td>\n",
              "      <td>D</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>10/09/2021</td>\n",
              "      <td>21007</td>\n",
              "      <td>40</td>\n",
              "      <td>Ballard County</td>\n",
              "      <td>KY</td>\n",
              "      <td>32.5</td>\n",
              "      <td>2560</td>\n",
              "      <td>2560.0</td>\n",
              "      <td>37.3</td>\n",
              "      <td>2487</td>\n",
              "      <td>39.9</td>\n",
              "      <td>938</td>\n",
              "      <td>54.3</td>\n",
              "      <td>94.4</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>36.3</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>41.8</td>\n",
              "      <td>2771.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>989.0</td>\n",
              "      <td>57.3</td>\n",
              "      <td>B</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10/09/2021</td>\n",
              "      <td>21091</td>\n",
              "      <td>40</td>\n",
              "      <td>Hancock County</td>\n",
              "      <td>KY</td>\n",
              "      <td>53.1</td>\n",
              "      <td>4635</td>\n",
              "      <td>4635.0</td>\n",
              "      <td>63.2</td>\n",
              "      <td>4365</td>\n",
              "      <td>66.5</td>\n",
              "      <td>1415</td>\n",
              "      <td>91.8</td>\n",
              "      <td>94.4</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>59.3</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>70.5</td>\n",
              "      <td>4839.0</td>\n",
              "      <td>73.8</td>\n",
              "      <td>1540.0</td>\n",
              "      <td>99.9</td>\n",
              "      <td>B</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10/09/2021</td>\n",
              "      <td>46023</td>\n",
              "      <td>40</td>\n",
              "      <td>Charles Mix County</td>\n",
              "      <td>SD</td>\n",
              "      <td>42.3</td>\n",
              "      <td>3927</td>\n",
              "      <td>3926.0</td>\n",
              "      <td>53.4</td>\n",
              "      <td>3656</td>\n",
              "      <td>56.1</td>\n",
              "      <td>1250</td>\n",
              "      <td>72.4</td>\n",
              "      <td>84.8</td>\n",
              "      <td>4786.0</td>\n",
              "      <td>51.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>11.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987881</th>\n",
              "      <td>12/13/2020</td>\n",
              "      <td>37199</td>\n",
              "      <td>51</td>\n",
              "      <td>Yancey County</td>\n",
              "      <td>NC</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987882</th>\n",
              "      <td>12/13/2020</td>\n",
              "      <td>51183</td>\n",
              "      <td>51</td>\n",
              "      <td>Sussex County</td>\n",
              "      <td>VA</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987883</th>\n",
              "      <td>12/13/2020</td>\n",
              "      <td>05115</td>\n",
              "      <td>51</td>\n",
              "      <td>Pope County</td>\n",
              "      <td>AR</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987884</th>\n",
              "      <td>12/13/2020</td>\n",
              "      <td>37005</td>\n",
              "      <td>51</td>\n",
              "      <td>Alleghany County</td>\n",
              "      <td>NC</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987885</th>\n",
              "      <td>12/13/2020</td>\n",
              "      <td>05001</td>\n",
              "      <td>51</td>\n",
              "      <td>Arkansas County</td>\n",
              "      <td>AR</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>987886 rows × 32 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "              Date  ... Series_Complete_65PlusPop_Pct_UR_Equity\n",
              "0       10/09/2021  ...                                     3.0\n",
              "1       10/09/2021  ...                                     8.0\n",
              "2       10/09/2021  ...                                     7.0\n",
              "3       10/09/2021  ...                                     4.0\n",
              "4       10/09/2021  ...                                     8.0\n",
              "...            ...  ...                                     ...\n",
              "987881  12/13/2020  ...                                     NaN\n",
              "987882  12/13/2020  ...                                     NaN\n",
              "987883  12/13/2020  ...                                     NaN\n",
              "987884  12/13/2020  ...                                     NaN\n",
              "987885  12/13/2020  ...                                     NaN\n",
              "\n",
              "[987886 rows x 32 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VsCnKAtIPH1F",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "30b193d2-1f89-43f0-9af7-dbae1505c21a"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 7168450 entries, 0 to 7168449\n",
            "Data columns (total 15 columns):\n",
            " #   Column                                              Dtype         \n",
            "---  ------                                              -----         \n",
            " 0   country_region_code                                 object        \n",
            " 1   country_region                                      object        \n",
            " 2   sub_region_1                                        object        \n",
            " 3   sub_region_2                                        object        \n",
            " 4   metro_area                                          object        \n",
            " 5   iso_3166_2_code                                     object        \n",
            " 6   census_fips_code                                    float64       \n",
            " 7   place_id                                            object        \n",
            " 8   date                                                datetime64[ns]\n",
            " 9   retail_and_recreation_percent_change_from_baseline  float64       \n",
            " 10  grocery_and_pharmacy_percent_change_from_baseline   float64       \n",
            " 11  parks_percent_change_from_baseline                  float64       \n",
            " 12  transit_stations_percent_change_from_baseline       float64       \n",
            " 13  workplaces_percent_change_from_baseline             float64       \n",
            " 14  residential_percent_change_from_baseline            float64       \n",
            "dtypes: datetime64[ns](1), float64(7), object(7)\n",
            "memory usage: 820.4+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f8M5z2T-rjhr",
        "outputId": "b4caa23d-1a95-4762-96e6-74d5742eec19"
      },
      "source": [
        "df1.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 987886 entries, 0 to 987885\n",
            "Data columns (total 32 columns):\n",
            " #   Column                                   Non-Null Count   Dtype  \n",
            "---  ------                                   --------------   -----  \n",
            " 0   Date                                     987886 non-null  object \n",
            " 1   FIPS                                     987886 non-null  object \n",
            " 2   MMWR_week                                987886 non-null  int64  \n",
            " 3   Recip_County                             987886 non-null  object \n",
            " 4   Recip_State                              987886 non-null  object \n",
            " 5   Series_Complete_Pop_Pct                  987886 non-null  float64\n",
            " 6   Series_Complete_Yes                      987886 non-null  int64  \n",
            " 7   Series_Complete_12Plus                   974340 non-null  float64\n",
            " 8   Series_Complete_12PlusPop_Pct            974340 non-null  float64\n",
            " 9   Series_Complete_18Plus                   987886 non-null  int64  \n",
            " 10  Series_Complete_18PlusPop_Pct            987886 non-null  float64\n",
            " 11  Series_Complete_65Plus                   987886 non-null  int64  \n",
            " 12  Series_Complete_65PlusPop_Pct            987886 non-null  float64\n",
            " 13  Completeness_pct                         987886 non-null  float64\n",
            " 14  Administered_Dose1_Recip                 956457 non-null  float64\n",
            " 15  Administered_Dose1_Pop_Pct               987886 non-null  float64\n",
            " 16  Administered_Dose1_Recip_12Plus          919377 non-null  float64\n",
            " 17  Administered_Dose1_Recip_12PlusPop_Pct   974340 non-null  float64\n",
            " 18  Administered_Dose1_Recip_18Plus          932746 non-null  float64\n",
            " 19  Administered_Dose1_Recip_18PlusPop_Pct   987886 non-null  float64\n",
            " 20  Administered_Dose1_Recip_65Plus          932746 non-null  float64\n",
            " 21  Administered_Dose1_Recip_65PlusPop_Pct   987886 non-null  float64\n",
            " 22  SVI_CTGY                                 987886 non-null  object \n",
            " 23  Series_Complete_Pop_Pct_SVI              769598 non-null  float64\n",
            " 24  Series_Complete_12PlusPop_Pct_SVI        757969 non-null  float64\n",
            " 25  Series_Complete_18PlusPop_Pct_SVI        769598 non-null  float64\n",
            " 26  Series_Complete_65PlusPop_Pct_SVI        769598 non-null  float64\n",
            " 27  Metro_status                             987886 non-null  object \n",
            " 28  Series_Complete_Pop_Pct_UR_Equity        768773 non-null  float64\n",
            " 29  Series_Complete_12PlusPop_Pct_UR_Equity  757260 non-null  float64\n",
            " 30  Series_Complete_18PlusPop_Pct_UR_Equity  768963 non-null  float64\n",
            " 31  Series_Complete_65PlusPop_Pct_UR_Equity  768277 non-null  float64\n",
            "dtypes: float64(22), int64(4), object(6)\n",
            "memory usage: 241.2+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "id": "RhelydT8Pyj2",
        "outputId": "20981a94-36dc-475f-8250-2dd07ac037f6"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": null,
      "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>census_fips_code</th>\n",
              "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
              "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
              "      <th>parks_percent_change_from_baseline</th>\n",
              "      <th>transit_stations_percent_change_from_baseline</th>\n",
              "      <th>workplaces_percent_change_from_baseline</th>\n",
              "      <th>residential_percent_change_from_baseline</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.506284e+06</td>\n",
              "      <td>4.446819e+06</td>\n",
              "      <td>4.260484e+06</td>\n",
              "      <td>3.390662e+06</td>\n",
              "      <td>3.569454e+06</td>\n",
              "      <td>6.899254e+06</td>\n",
              "      <td>4.307069e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>3.034741e+04</td>\n",
              "      <td>-1.656759e+01</td>\n",
              "      <td>4.713628e+00</td>\n",
              "      <td>-2.053785e+00</td>\n",
              "      <td>-2.126691e+01</td>\n",
              "      <td>-1.699653e+01</td>\n",
              "      <td>7.684866e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.529662e+04</td>\n",
              "      <td>2.916989e+01</td>\n",
              "      <td>2.844324e+01</td>\n",
              "      <td>6.019399e+01</td>\n",
              "      <td>3.373748e+01</td>\n",
              "      <td>2.041293e+01</td>\n",
              "      <td>7.688157e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.001000e+03</td>\n",
              "      <td>-1.000000e+02</td>\n",
              "      <td>-1.000000e+02</td>\n",
              "      <td>-1.000000e+02</td>\n",
              "      <td>-1.000000e+02</td>\n",
              "      <td>-1.000000e+02</td>\n",
              "      <td>-7.100000e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1.810500e+04</td>\n",
              "      <td>-3.300000e+01</td>\n",
              "      <td>-9.000000e+00</td>\n",
              "      <td>-3.800000e+01</td>\n",
              "      <td>-4.400000e+01</td>\n",
              "      <td>-2.900000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.911100e+04</td>\n",
              "      <td>-1.400000e+01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>-1.200000e+01</td>\n",
              "      <td>-2.400000e+01</td>\n",
              "      <td>-1.600000e+01</td>\n",
              "      <td>7.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>4.505100e+04</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.700000e+01</td>\n",
              "      <td>1.900000e+01</td>\n",
              "      <td>-2.000000e+00</td>\n",
              "      <td>-4.000000e+00</td>\n",
              "      <td>1.200000e+01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>5.604500e+04</td>\n",
              "      <td>6.160000e+02</td>\n",
              "      <td>7.570000e+02</td>\n",
              "      <td>1.327000e+03</td>\n",
              "      <td>7.160000e+02</td>\n",
              "      <td>2.600000e+02</td>\n",
              "      <td>7.000000e+01</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       census_fips_code  ...  residential_percent_change_from_baseline\n",
              "count      1.506284e+06  ...                              4.307069e+06\n",
              "mean       3.034741e+04  ...                              7.684866e+00\n",
              "std        1.529662e+04  ...                              7.688157e+00\n",
              "min        1.001000e+03  ...                             -7.100000e+01\n",
              "25%        1.810500e+04  ...                              3.000000e+00\n",
              "50%        2.911100e+04  ...                              7.000000e+00\n",
              "75%        4.505100e+04  ...                              1.200000e+01\n",
              "max        5.604500e+04  ...                              7.000000e+01\n",
              "\n",
              "[8 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "id": "rnpjeeC1rmus",
        "outputId": "26ac48a2-d7ca-4939-e520-d448e2b6d4ce"
      },
      "source": [
        "df1.describe()"
      ],
      "execution_count": null,
      "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>MMWR_week</th>\n",
              "      <th>Series_Complete_Pop_Pct</th>\n",
              "      <th>Series_Complete_Yes</th>\n",
              "      <th>Series_Complete_12Plus</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct</th>\n",
              "      <th>Series_Complete_18Plus</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct</th>\n",
              "      <th>Series_Complete_65Plus</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct</th>\n",
              "      <th>Completeness_pct</th>\n",
              "      <th>Administered_Dose1_Recip</th>\n",
              "      <th>Administered_Dose1_Pop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_12Plus</th>\n",
              "      <th>Administered_Dose1_Recip_12PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_18Plus</th>\n",
              "      <th>Administered_Dose1_Recip_18PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_65Plus</th>\n",
              "      <th>Administered_Dose1_Recip_65PlusPop_Pct</th>\n",
              "      <th>Series_Complete_Pop_Pct_SVI</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_Pop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_UR_Equity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>987886.000000</td>\n",
              "      <td>987886.000000</td>\n",
              "      <td>9.878860e+05</td>\n",
              "      <td>9.743400e+05</td>\n",
              "      <td>974340.000000</td>\n",
              "      <td>9.878860e+05</td>\n",
              "      <td>987886.000000</td>\n",
              "      <td>9.878860e+05</td>\n",
              "      <td>987886.000000</td>\n",
              "      <td>987886.000000</td>\n",
              "      <td>9.564570e+05</td>\n",
              "      <td>987886.000000</td>\n",
              "      <td>9.193770e+05</td>\n",
              "      <td>974340.000000</td>\n",
              "      <td>9.327460e+05</td>\n",
              "      <td>987886.000000</td>\n",
              "      <td>9.327460e+05</td>\n",
              "      <td>987886.000000</td>\n",
              "      <td>769598.000000</td>\n",
              "      <td>757969.000000</td>\n",
              "      <td>769598.000000</td>\n",
              "      <td>769598.000000</td>\n",
              "      <td>768773.000000</td>\n",
              "      <td>757260.000000</td>\n",
              "      <td>768963.000000</td>\n",
              "      <td>768277.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>22.688029</td>\n",
              "      <td>20.268671</td>\n",
              "      <td>2.699178e+04</td>\n",
              "      <td>2.722113e+04</td>\n",
              "      <td>23.556656</td>\n",
              "      <td>2.594203e+04</td>\n",
              "      <td>25.137372</td>\n",
              "      <td>8.100795e+03</td>\n",
              "      <td>39.523809</td>\n",
              "      <td>71.231017</td>\n",
              "      <td>3.480526e+04</td>\n",
              "      <td>23.734552</td>\n",
              "      <td>3.533225e+04</td>\n",
              "      <td>26.687118</td>\n",
              "      <td>3.352521e+04</td>\n",
              "      <td>28.394438</td>\n",
              "      <td>1.028792e+04</td>\n",
              "      <td>43.870244</td>\n",
              "      <td>7.521010</td>\n",
              "      <td>7.822254</td>\n",
              "      <td>7.951289</td>\n",
              "      <td>8.437526</td>\n",
              "      <td>4.136417</td>\n",
              "      <td>4.422305</td>\n",
              "      <td>4.566332</td>\n",
              "      <td>5.056577</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>13.721695</td>\n",
              "      <td>18.500853</td>\n",
              "      <td>1.237251e+05</td>\n",
              "      <td>1.243838e+05</td>\n",
              "      <td>21.477379</td>\n",
              "      <td>1.175651e+05</td>\n",
              "      <td>22.508714</td>\n",
              "      <td>3.018484e+04</td>\n",
              "      <td>32.451032</td>\n",
              "      <td>38.397121</td>\n",
              "      <td>1.557777e+05</td>\n",
              "      <td>20.646208</td>\n",
              "      <td>1.582489e+05</td>\n",
              "      <td>24.099998</td>\n",
              "      <td>1.489981e+05</td>\n",
              "      <td>25.118906</td>\n",
              "      <td>3.793325e+04</td>\n",
              "      <td>35.007983</td>\n",
              "      <td>4.418697</td>\n",
              "      <td>4.457138</td>\n",
              "      <td>4.462396</td>\n",
              "      <td>4.508456</td>\n",
              "      <td>2.089933</td>\n",
              "      <td>2.190678</td>\n",
              "      <td>2.234566</td>\n",
              "      <td>2.253882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>11.000000</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>2.590000e+02</td>\n",
              "      <td>2.550000e+02</td>\n",
              "      <td>0.900000</td>\n",
              "      <td>2.580000e+02</td>\n",
              "      <td>1.100000</td>\n",
              "      <td>7.000000e+01</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>51.200000</td>\n",
              "      <td>6.230000e+02</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>5.620000e+02</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>5.660000e+02</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.230000e+02</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>22.000000</td>\n",
              "      <td>18.400000</td>\n",
              "      <td>3.135000e+03</td>\n",
              "      <td>3.152000e+03</td>\n",
              "      <td>21.300000</td>\n",
              "      <td>3.086000e+03</td>\n",
              "      <td>23.300000</td>\n",
              "      <td>1.331000e+03</td>\n",
              "      <td>45.500000</td>\n",
              "      <td>93.700000</td>\n",
              "      <td>4.599000e+03</td>\n",
              "      <td>22.900000</td>\n",
              "      <td>4.603000e+03</td>\n",
              "      <td>24.700000</td>\n",
              "      <td>4.483000e+03</td>\n",
              "      <td>27.100000</td>\n",
              "      <td>1.905000e+03</td>\n",
              "      <td>52.300000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>33.000000</td>\n",
              "      <td>34.700000</td>\n",
              "      <td>1.262300e+04</td>\n",
              "      <td>1.270600e+04</td>\n",
              "      <td>40.600000</td>\n",
              "      <td>1.231500e+04</td>\n",
              "      <td>43.500000</td>\n",
              "      <td>4.817000e+03</td>\n",
              "      <td>69.100000</td>\n",
              "      <td>97.300000</td>\n",
              "      <td>1.658900e+04</td>\n",
              "      <td>39.800000</td>\n",
              "      <td>1.664400e+04</td>\n",
              "      <td>46.000000</td>\n",
              "      <td>1.604300e+04</td>\n",
              "      <td>49.100000</td>\n",
              "      <td>6.087000e+03</td>\n",
              "      <td>75.800000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>7.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>53.000000</td>\n",
              "      <td>99.900000</td>\n",
              "      <td>6.060267e+06</td>\n",
              "      <td>6.048632e+06</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>5.601068e+06</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>1.095652e+06</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>6.955162e+06</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>6.936785e+06</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>6.411383e+06</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>1.264517e+06</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           MMWR_week  ...  Series_Complete_65PlusPop_Pct_UR_Equity\n",
              "count  987886.000000  ...                            768277.000000\n",
              "mean       22.688029  ...                                 5.056577\n",
              "std        13.721695  ...                                 2.253882\n",
              "min         1.000000  ...                                 1.000000\n",
              "25%        11.000000  ...                                 3.000000\n",
              "50%        22.000000  ...                                 5.000000\n",
              "75%        33.000000  ...                                 7.000000\n",
              "max        53.000000  ...                                 8.000000\n",
              "\n",
              "[8 rows x 26 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IWH7OEboaadp"
      },
      "source": [
        "columns = df.columns"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6ScwWdd1rrQi",
        "outputId": "e4e89671-fa78-467e-b74f-4a22c28efb46"
      },
      "source": [
        "df1.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Date', 'FIPS', 'MMWR_week', 'Recip_County', 'Recip_State',\n",
              "       'Series_Complete_Pop_Pct', 'Series_Complete_Yes',\n",
              "       'Series_Complete_12Plus', 'Series_Complete_12PlusPop_Pct',\n",
              "       'Series_Complete_18Plus', 'Series_Complete_18PlusPop_Pct',\n",
              "       'Series_Complete_65Plus', 'Series_Complete_65PlusPop_Pct',\n",
              "       'Completeness_pct', 'Administered_Dose1_Recip',\n",
              "       'Administered_Dose1_Pop_Pct', 'Administered_Dose1_Recip_12Plus',\n",
              "       'Administered_Dose1_Recip_12PlusPop_Pct',\n",
              "       'Administered_Dose1_Recip_18Plus',\n",
              "       'Administered_Dose1_Recip_18PlusPop_Pct',\n",
              "       'Administered_Dose1_Recip_65Plus',\n",
              "       'Administered_Dose1_Recip_65PlusPop_Pct', 'SVI_CTGY',\n",
              "       'Series_Complete_Pop_Pct_SVI', 'Series_Complete_12PlusPop_Pct_SVI',\n",
              "       'Series_Complete_18PlusPop_Pct_SVI',\n",
              "       'Series_Complete_65PlusPop_Pct_SVI', 'Metro_status',\n",
              "       'Series_Complete_Pop_Pct_UR_Equity',\n",
              "       'Series_Complete_12PlusPop_Pct_UR_Equity',\n",
              "       'Series_Complete_18PlusPop_Pct_UR_Equity',\n",
              "       'Series_Complete_65PlusPop_Pct_UR_Equity'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hr8EaAu1apn-"
      },
      "source": [
        "usdata = df.loc[df['country_region'] == 'United States']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZwKYO_bLcs2n",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "outputId": "3e1a9108-2cd8-43ae-b016-1db3b3fc8245"
      },
      "source": [
        "usdata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>country_region_code</th>\n",
              "      <th>country_region</th>\n",
              "      <th>sub_region_1</th>\n",
              "      <th>sub_region_2</th>\n",
              "      <th>metro_area</th>\n",
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              "      <th>place_id</th>\n",
              "      <th>date</th>\n",
              "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
              "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
              "      <th>parks_percent_change_from_baseline</th>\n",
              "      <th>transit_stations_percent_change_from_baseline</th>\n",
              "      <th>workplaces_percent_change_from_baseline</th>\n",
              "      <th>residential_percent_change_from_baseline</th>\n",
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              "      <td>US</td>\n",
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              "    <tr>\n",
              "      <th>5561370</th>\n",
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              "      <td>US</td>\n",
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              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>7098197</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-10-04</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-21.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7098198</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-10-05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-20.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1536833 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        country_region_code  ... residential_percent_change_from_baseline\n",
              "5561366                  US  ...                                     -1.0\n",
              "5561367                  US  ...                                     -1.0\n",
              "5561368                  US  ...                                      5.0\n",
              "5561369                  US  ...                                      1.0\n",
              "5561370                  US  ...                                      0.0\n",
              "...                     ...  ...                                      ...\n",
              "7098194                  US  ...                                      NaN\n",
              "7098195                  US  ...                                      NaN\n",
              "7098196                  US  ...                                      NaN\n",
              "7098197                  US  ...                                      NaN\n",
              "7098198                  US  ...                                      NaN\n",
              "\n",
              "[1536833 rows x 15 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vHqOmC7_IINy",
        "outputId": "2050276f-9754-441e-df9f-eaa1cf6d33df"
      },
      "source": [
        "usdata['month'] = usdata['date'].dt.month\n",
        "usdata['year'] = usdata['date'].dt.year"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n",
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pzr3Et-7JoEp"
      },
      "source": [
        "df1['Date'] = pd.to_datetime(df1['Date'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "8dD211ftJ8k2",
        "outputId": "e68c4f80-a846-48ad-f317-b9827697a706"
      },
      "source": [
        "df1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>FIPS</th>\n",
              "      <th>MMWR_week</th>\n",
              "      <th>Recip_County</th>\n",
              "      <th>Recip_State</th>\n",
              "      <th>Series_Complete_Pop_Pct</th>\n",
              "      <th>Series_Complete_Yes</th>\n",
              "      <th>Series_Complete_12Plus</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct</th>\n",
              "      <th>Series_Complete_18Plus</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct</th>\n",
              "      <th>Series_Complete_65Plus</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct</th>\n",
              "      <th>Completeness_pct</th>\n",
              "      <th>Administered_Dose1_Recip</th>\n",
              "      <th>Administered_Dose1_Pop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_12Plus</th>\n",
              "      <th>Administered_Dose1_Recip_12PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_18Plus</th>\n",
              "      <th>Administered_Dose1_Recip_18PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_65Plus</th>\n",
              "      <th>Administered_Dose1_Recip_65PlusPop_Pct</th>\n",
              "      <th>SVI_CTGY</th>\n",
              "      <th>Series_Complete_Pop_Pct_SVI</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_SVI</th>\n",
              "      <th>Metro_status</th>\n",
              "      <th>Series_Complete_Pop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_UR_Equity</th>\n",
              "      <th>date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>04025</td>\n",
              "      <td>40</td>\n",
              "      <td>Yavapai County</td>\n",
              "      <td>AZ</td>\n",
              "      <td>39.9</td>\n",
              "      <td>93695</td>\n",
              "      <td>93690.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>90975</td>\n",
              "      <td>46.0</td>\n",
              "      <td>47462</td>\n",
              "      <td>62.1</td>\n",
              "      <td>97.6</td>\n",
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              "      <td>49.4</td>\n",
              "      <td>116124.0</td>\n",
              "      <td>55.0</td>\n",
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              "      <td>57.0</td>\n",
              "      <td>57138.0</td>\n",
              "      <td>74.8</td>\n",
              "      <td>C</td>\n",
              "      <td>10.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21009</td>\n",
              "      <td>40</td>\n",
              "      <td>Barren County</td>\n",
              "      <td>KY</td>\n",
              "      <td>40.5</td>\n",
              "      <td>17899</td>\n",
              "      <td>17899.0</td>\n",
              "      <td>47.9</td>\n",
              "      <td>17034</td>\n",
              "      <td>50.3</td>\n",
              "      <td>5824</td>\n",
              "      <td>73.1</td>\n",
              "      <td>94.4</td>\n",
              "      <td>20240.0</td>\n",
              "      <td>45.7</td>\n",
              "      <td>20238.0</td>\n",
              "      <td>54.1</td>\n",
              "      <td>19157.0</td>\n",
              "      <td>56.6</td>\n",
              "      <td>6254.0</td>\n",
              "      <td>78.5</td>\n",
              "      <td>D</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21007</td>\n",
              "      <td>40</td>\n",
              "      <td>Ballard County</td>\n",
              "      <td>KY</td>\n",
              "      <td>32.5</td>\n",
              "      <td>2560</td>\n",
              "      <td>2560.0</td>\n",
              "      <td>37.3</td>\n",
              "      <td>2487</td>\n",
              "      <td>39.9</td>\n",
              "      <td>938</td>\n",
              "      <td>54.3</td>\n",
              "      <td>94.4</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>36.3</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>41.8</td>\n",
              "      <td>2771.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>989.0</td>\n",
              "      <td>57.3</td>\n",
              "      <td>B</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21091</td>\n",
              "      <td>40</td>\n",
              "      <td>Hancock County</td>\n",
              "      <td>KY</td>\n",
              "      <td>53.1</td>\n",
              "      <td>4635</td>\n",
              "      <td>4635.0</td>\n",
              "      <td>63.2</td>\n",
              "      <td>4365</td>\n",
              "      <td>66.5</td>\n",
              "      <td>1415</td>\n",
              "      <td>91.8</td>\n",
              "      <td>94.4</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>59.3</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>70.5</td>\n",
              "      <td>4839.0</td>\n",
              "      <td>73.8</td>\n",
              "      <td>1540.0</td>\n",
              "      <td>99.9</td>\n",
              "      <td>B</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>46023</td>\n",
              "      <td>40</td>\n",
              "      <td>Charles Mix County</td>\n",
              "      <td>SD</td>\n",
              "      <td>42.3</td>\n",
              "      <td>3927</td>\n",
              "      <td>3926.0</td>\n",
              "      <td>53.4</td>\n",
              "      <td>3656</td>\n",
              "      <td>56.1</td>\n",
              "      <td>1250</td>\n",
              "      <td>72.4</td>\n",
              "      <td>84.8</td>\n",
              "      <td>4786.0</td>\n",
              "      <td>51.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>11.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987881</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>37199</td>\n",
              "      <td>51</td>\n",
              "      <td>Yancey County</td>\n",
              "      <td>NC</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987882</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>51183</td>\n",
              "      <td>51</td>\n",
              "      <td>Sussex County</td>\n",
              "      <td>VA</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987883</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>05115</td>\n",
              "      <td>51</td>\n",
              "      <td>Pope County</td>\n",
              "      <td>AR</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987884</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>37005</td>\n",
              "      <td>51</td>\n",
              "      <td>Alleghany County</td>\n",
              "      <td>NC</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987885</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>05001</td>\n",
              "      <td>51</td>\n",
              "      <td>Arkansas County</td>\n",
              "      <td>AR</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>987886 rows × 33 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             Date   FIPS  ...  Series_Complete_65PlusPop_Pct_UR_Equity       date\n",
              "0      2021-10-09  04025  ...                                      3.0 2021-10-09\n",
              "1      2021-10-09  21009  ...                                      8.0 2021-10-09\n",
              "2      2021-10-09  21007  ...                                      7.0 2021-10-09\n",
              "3      2021-10-09  21091  ...                                      4.0 2021-10-09\n",
              "4      2021-10-09  46023  ...                                      8.0 2021-10-09\n",
              "...           ...    ...  ...                                      ...        ...\n",
              "987881 2020-12-13  37199  ...                                      NaN 2020-12-13\n",
              "987882 2020-12-13  51183  ...                                      NaN 2020-12-13\n",
              "987883 2020-12-13  05115  ...                                      NaN 2020-12-13\n",
              "987884 2020-12-13  37005  ...                                      NaN 2020-12-13\n",
              "987885 2020-12-13  05001  ...                                      NaN 2020-12-13\n",
              "\n",
              "[987886 rows x 33 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Aat4AyDI3Do"
      },
      "source": [
        "\n",
        "df1['month'] = df1['Date'].dt.month\n",
        "df1['year'] = df1['Date'].dt.year"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "lPtFz2zPKM1z",
        "outputId": "9bdf29c5-012d-4291-83dc-2de3db16b99b"
      },
      "source": [
        "df1"
      ],
      "execution_count": null,
      "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>Date</th>\n",
              "      <th>FIPS</th>\n",
              "      <th>MMWR_week</th>\n",
              "      <th>Recip_County</th>\n",
              "      <th>Recip_State</th>\n",
              "      <th>Series_Complete_Pop_Pct</th>\n",
              "      <th>Series_Complete_Yes</th>\n",
              "      <th>Series_Complete_12Plus</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct</th>\n",
              "      <th>Series_Complete_18Plus</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct</th>\n",
              "      <th>Series_Complete_65Plus</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct</th>\n",
              "      <th>Completeness_pct</th>\n",
              "      <th>Administered_Dose1_Recip</th>\n",
              "      <th>Administered_Dose1_Pop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_12Plus</th>\n",
              "      <th>Administered_Dose1_Recip_12PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_18Plus</th>\n",
              "      <th>Administered_Dose1_Recip_18PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_65Plus</th>\n",
              "      <th>Administered_Dose1_Recip_65PlusPop_Pct</th>\n",
              "      <th>SVI_CTGY</th>\n",
              "      <th>Series_Complete_Pop_Pct_SVI</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_SVI</th>\n",
              "      <th>Metro_status</th>\n",
              "      <th>Series_Complete_Pop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_UR_Equity</th>\n",
              "      <th>date</th>\n",
              "      <th>month</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>04025</td>\n",
              "      <td>40</td>\n",
              "      <td>Yavapai County</td>\n",
              "      <td>AZ</td>\n",
              "      <td>39.9</td>\n",
              "      <td>93695</td>\n",
              "      <td>93690.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>90975</td>\n",
              "      <td>46.0</td>\n",
              "      <td>47462</td>\n",
              "      <td>62.1</td>\n",
              "      <td>97.6</td>\n",
              "      <td>116143.0</td>\n",
              "      <td>49.4</td>\n",
              "      <td>116124.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>112729.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>57138.0</td>\n",
              "      <td>74.8</td>\n",
              "      <td>C</td>\n",
              "      <td>10.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21009</td>\n",
              "      <td>40</td>\n",
              "      <td>Barren County</td>\n",
              "      <td>KY</td>\n",
              "      <td>40.5</td>\n",
              "      <td>17899</td>\n",
              "      <td>17899.0</td>\n",
              "      <td>47.9</td>\n",
              "      <td>17034</td>\n",
              "      <td>50.3</td>\n",
              "      <td>5824</td>\n",
              "      <td>73.1</td>\n",
              "      <td>94.4</td>\n",
              "      <td>20240.0</td>\n",
              "      <td>45.7</td>\n",
              "      <td>20238.0</td>\n",
              "      <td>54.1</td>\n",
              "      <td>19157.0</td>\n",
              "      <td>56.6</td>\n",
              "      <td>6254.0</td>\n",
              "      <td>78.5</td>\n",
              "      <td>D</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21007</td>\n",
              "      <td>40</td>\n",
              "      <td>Ballard County</td>\n",
              "      <td>KY</td>\n",
              "      <td>32.5</td>\n",
              "      <td>2560</td>\n",
              "      <td>2560.0</td>\n",
              "      <td>37.3</td>\n",
              "      <td>2487</td>\n",
              "      <td>39.9</td>\n",
              "      <td>938</td>\n",
              "      <td>54.3</td>\n",
              "      <td>94.4</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>36.3</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>41.8</td>\n",
              "      <td>2771.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>989.0</td>\n",
              "      <td>57.3</td>\n",
              "      <td>B</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21091</td>\n",
              "      <td>40</td>\n",
              "      <td>Hancock County</td>\n",
              "      <td>KY</td>\n",
              "      <td>53.1</td>\n",
              "      <td>4635</td>\n",
              "      <td>4635.0</td>\n",
              "      <td>63.2</td>\n",
              "      <td>4365</td>\n",
              "      <td>66.5</td>\n",
              "      <td>1415</td>\n",
              "      <td>91.8</td>\n",
              "      <td>94.4</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>59.3</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>70.5</td>\n",
              "      <td>4839.0</td>\n",
              "      <td>73.8</td>\n",
              "      <td>1540.0</td>\n",
              "      <td>99.9</td>\n",
              "      <td>B</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>46023</td>\n",
              "      <td>40</td>\n",
              "      <td>Charles Mix County</td>\n",
              "      <td>SD</td>\n",
              "      <td>42.3</td>\n",
              "      <td>3927</td>\n",
              "      <td>3926.0</td>\n",
              "      <td>53.4</td>\n",
              "      <td>3656</td>\n",
              "      <td>56.1</td>\n",
              "      <td>1250</td>\n",
              "      <td>72.4</td>\n",
              "      <td>84.8</td>\n",
              "      <td>4786.0</td>\n",
              "      <td>51.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>11.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987881</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>37199</td>\n",
              "      <td>51</td>\n",
              "      <td>Yancey County</td>\n",
              "      <td>NC</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>12</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987882</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>51183</td>\n",
              "      <td>51</td>\n",
              "      <td>Sussex County</td>\n",
              "      <td>VA</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>12</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987883</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>05115</td>\n",
              "      <td>51</td>\n",
              "      <td>Pope County</td>\n",
              "      <td>AR</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>12</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987884</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>37005</td>\n",
              "      <td>51</td>\n",
              "      <td>Alleghany County</td>\n",
              "      <td>NC</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>12</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>987885</th>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>05001</td>\n",
              "      <td>51</td>\n",
              "      <td>Arkansas County</td>\n",
              "      <td>AR</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-12-13</td>\n",
              "      <td>12</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>987886 rows × 35 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             Date   FIPS  MMWR_week  ...       date month  year\n",
              "0      2021-10-09  04025         40  ... 2021-10-09    10  2021\n",
              "1      2021-10-09  21009         40  ... 2021-10-09    10  2021\n",
              "2      2021-10-09  21007         40  ... 2021-10-09    10  2021\n",
              "3      2021-10-09  21091         40  ... 2021-10-09    10  2021\n",
              "4      2021-10-09  46023         40  ... 2021-10-09    10  2021\n",
              "...           ...    ...        ...  ...        ...   ...   ...\n",
              "987881 2020-12-13  37199         51  ... 2020-12-13    12  2020\n",
              "987882 2020-12-13  51183         51  ... 2020-12-13    12  2020\n",
              "987883 2020-12-13  05115         51  ... 2020-12-13    12  2020\n",
              "987884 2020-12-13  37005         51  ... 2020-12-13    12  2020\n",
              "987885 2020-12-13  05001         51  ... 2020-12-13    12  2020\n",
              "\n",
              "[987886 rows x 35 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "-3upKnC7IbPP",
        "outputId": "48211418-971f-475d-dfbe-28160e5f8661"
      },
      "source": [
        "usdata"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>2020-02-18</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>7098194</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
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              "      <td>Weston County</td>\n",
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              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-09-29</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>-21.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7098195</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-09-30</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-18.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7098196</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-10-01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-21.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7098197</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-10-04</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-21.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7098198</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-10-05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-20.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1536833 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        country_region_code country_region  ... month  year\n",
              "5561366                  US  United States  ...     2  2020\n",
              "5561367                  US  United States  ...     2  2020\n",
              "5561368                  US  United States  ...     2  2020\n",
              "5561369                  US  United States  ...     2  2020\n",
              "5561370                  US  United States  ...     2  2020\n",
              "...                     ...            ...  ...   ...   ...\n",
              "7098194                  US  United States  ...     9  2021\n",
              "7098195                  US  United States  ...     9  2021\n",
              "7098196                  US  United States  ...    10  2021\n",
              "7098197                  US  United States  ...    10  2021\n",
              "7098198                  US  United States  ...    10  2021\n",
              "\n",
              "[1536833 rows x 17 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aunfBujdKmEd"
      },
      "source": [
        "mobility2021 = pd.DataFrame(usdata.loc[usdata['year'] == 2021])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "Sf70a04SNC8t",
        "outputId": "2fe955d8-ecc7-4189-8077-a0bd050b9314"
      },
      "source": [
        "mobility2021"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country_region_code</th>\n",
              "      <th>country_region</th>\n",
              "      <th>sub_region_1</th>\n",
              "      <th>sub_region_2</th>\n",
              "      <th>metro_area</th>\n",
              "      <th>iso_3166_2_code</th>\n",
              "      <th>census_fips_code</th>\n",
              "      <th>place_id</th>\n",
              "      <th>date</th>\n",
              "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
              "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
              "      <th>parks_percent_change_from_baseline</th>\n",
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              "      <th>workplaces_percent_change_from_baseline</th>\n",
              "      <th>residential_percent_change_from_baseline</th>\n",
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              "      <th>year</th>\n",
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              "      <td>2021-09-29</td>\n",
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              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-10-01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-21.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7098197</th>\n",
              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
              "      <td>ChIJd4Rqhed3YocR7ubT5-HgoJg</td>\n",
              "      <td>2021-10-04</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>US</td>\n",
              "      <td>United States</td>\n",
              "      <td>Wyoming</td>\n",
              "      <td>Weston County</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>56045.0</td>\n",
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              "      <td>2021-10-05</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>-20.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>724768 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        country_region_code country_region  ... month  year\n",
              "5561687                  US  United States  ...     1  2021\n",
              "5561688                  US  United States  ...     1  2021\n",
              "5561689                  US  United States  ...     1  2021\n",
              "5561690                  US  United States  ...     1  2021\n",
              "5561691                  US  United States  ...     1  2021\n",
              "...                     ...            ...  ...   ...   ...\n",
              "7098194                  US  United States  ...     9  2021\n",
              "7098195                  US  United States  ...     9  2021\n",
              "7098196                  US  United States  ...    10  2021\n",
              "7098197                  US  United States  ...    10  2021\n",
              "7098198                  US  United States  ...    10  2021\n",
              "\n",
              "[724768 rows x 17 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X1-v4IzlNLue"
      },
      "source": [
        "vaccinations2021 = pd.DataFrame(df1.loc[df1['year'] == 2021])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sM4pvs95NSWX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "outputId": "8efcd963-9244-489c-f91a-d02abbbbabdb"
      },
      "source": [
        "vaccinations2021"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>Series_Complete_18PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_SVI</th>\n",
              "      <th>Metro_status</th>\n",
              "      <th>Series_Complete_Pop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_UR_Equity</th>\n",
              "      <th>date</th>\n",
              "      <th>month</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>04025</td>\n",
              "      <td>40</td>\n",
              "      <td>Yavapai County</td>\n",
              "      <td>AZ</td>\n",
              "      <td>39.9</td>\n",
              "      <td>93695</td>\n",
              "      <td>93690.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>90975</td>\n",
              "      <td>46.0</td>\n",
              "      <td>47462</td>\n",
              "      <td>62.1</td>\n",
              "      <td>97.6</td>\n",
              "      <td>116143.0</td>\n",
              "      <td>49.4</td>\n",
              "      <td>116124.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>112729.0</td>\n",
              "      <td>57.0</td>\n",
              "      <td>57138.0</td>\n",
              "      <td>74.8</td>\n",
              "      <td>C</td>\n",
              "      <td>10.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21009</td>\n",
              "      <td>40</td>\n",
              "      <td>Barren County</td>\n",
              "      <td>KY</td>\n",
              "      <td>40.5</td>\n",
              "      <td>17899</td>\n",
              "      <td>17899.0</td>\n",
              "      <td>47.9</td>\n",
              "      <td>17034</td>\n",
              "      <td>50.3</td>\n",
              "      <td>5824</td>\n",
              "      <td>73.1</td>\n",
              "      <td>94.4</td>\n",
              "      <td>20240.0</td>\n",
              "      <td>45.7</td>\n",
              "      <td>20238.0</td>\n",
              "      <td>54.1</td>\n",
              "      <td>19157.0</td>\n",
              "      <td>56.6</td>\n",
              "      <td>6254.0</td>\n",
              "      <td>78.5</td>\n",
              "      <td>D</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21007</td>\n",
              "      <td>40</td>\n",
              "      <td>Ballard County</td>\n",
              "      <td>KY</td>\n",
              "      <td>32.5</td>\n",
              "      <td>2560</td>\n",
              "      <td>2560.0</td>\n",
              "      <td>37.3</td>\n",
              "      <td>2487</td>\n",
              "      <td>39.9</td>\n",
              "      <td>938</td>\n",
              "      <td>54.3</td>\n",
              "      <td>94.4</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>36.3</td>\n",
              "      <td>2867.0</td>\n",
              "      <td>41.8</td>\n",
              "      <td>2771.0</td>\n",
              "      <td>44.4</td>\n",
              "      <td>989.0</td>\n",
              "      <td>57.3</td>\n",
              "      <td>B</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>21091</td>\n",
              "      <td>40</td>\n",
              "      <td>Hancock County</td>\n",
              "      <td>KY</td>\n",
              "      <td>53.1</td>\n",
              "      <td>4635</td>\n",
              "      <td>4635.0</td>\n",
              "      <td>63.2</td>\n",
              "      <td>4365</td>\n",
              "      <td>66.5</td>\n",
              "      <td>1415</td>\n",
              "      <td>91.8</td>\n",
              "      <td>94.4</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>59.3</td>\n",
              "      <td>5170.0</td>\n",
              "      <td>70.5</td>\n",
              "      <td>4839.0</td>\n",
              "      <td>73.8</td>\n",
              "      <td>1540.0</td>\n",
              "      <td>99.9</td>\n",
              "      <td>B</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>Metro</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>46023</td>\n",
              "      <td>40</td>\n",
              "      <td>Charles Mix County</td>\n",
              "      <td>SD</td>\n",
              "      <td>42.3</td>\n",
              "      <td>3927</td>\n",
              "      <td>3926.0</td>\n",
              "      <td>53.4</td>\n",
              "      <td>3656</td>\n",
              "      <td>56.1</td>\n",
              "      <td>1250</td>\n",
              "      <td>72.4</td>\n",
              "      <td>84.8</td>\n",
              "      <td>4786.0</td>\n",
              "      <td>51.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>C</td>\n",
              "      <td>11.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>2021-10-09</td>\n",
              "      <td>10</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>925733</th>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>34023</td>\n",
              "      <td>53</td>\n",
              "      <td>Middlesex County</td>\n",
              "      <td>NJ</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>B</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>1</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>925734</th>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>28081</td>\n",
              "      <td>53</td>\n",
              "      <td>Lee County</td>\n",
              "      <td>MS</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>1</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>925735</th>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>50015</td>\n",
              "      <td>53</td>\n",
              "      <td>Lamoille County</td>\n",
              "      <td>VT</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>A</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>1</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>925736</th>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>17107</td>\n",
              "      <td>53</td>\n",
              "      <td>Logan County</td>\n",
              "      <td>IL</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>A</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>1</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>925737</th>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>13061</td>\n",
              "      <td>53</td>\n",
              "      <td>Clay County</td>\n",
              "      <td>GA</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Non-metro</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-01</td>\n",
              "      <td>1</td>\n",
              "      <td>2021</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>925738 rows × 35 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             Date   FIPS  MMWR_week  ...       date month  year\n",
              "0      2021-10-09  04025         40  ... 2021-10-09    10  2021\n",
              "1      2021-10-09  21009         40  ... 2021-10-09    10  2021\n",
              "2      2021-10-09  21007         40  ... 2021-10-09    10  2021\n",
              "3      2021-10-09  21091         40  ... 2021-10-09    10  2021\n",
              "4      2021-10-09  46023         40  ... 2021-10-09    10  2021\n",
              "...           ...    ...        ...  ...        ...   ...   ...\n",
              "925733 2021-01-01  34023         53  ... 2021-01-01     1  2021\n",
              "925734 2021-01-01  28081         53  ... 2021-01-01     1  2021\n",
              "925735 2021-01-01  50015         53  ... 2021-01-01     1  2021\n",
              "925736 2021-01-01  17107         53  ... 2021-01-01     1  2021\n",
              "925737 2021-01-01  13061         53  ... 2021-01-01     1  2021\n",
              "\n",
              "[925738 rows x 35 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dUID0flD43d4"
      },
      "source": [
        "state = list(usdata['sub_region_1'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PEU2PSQ85F_k",
        "outputId": "6a693a5a-4d31-47d5-cc0a-b81a39402429"
      },
      "source": [
        "state"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['',\n",
              " 'Alabama',\n",
              " 'Alaska',\n",
              " 'Arizona',\n",
              " 'Arkansas',\n",
              " 'California',\n",
              " 'Colorado',\n",
              " 'Connecticut',\n",
              " 'Delaware',\n",
              " 'District of Columbia',\n",
              " 'Florida',\n",
              " 'Georgia',\n",
              " 'Hawaii',\n",
              " 'Idaho',\n",
              " 'Illinois',\n",
              " 'Indiana',\n",
              " 'Iowa',\n",
              " 'Kansas',\n",
              " 'Kentucky',\n",
              " 'Louisiana',\n",
              " 'Maine',\n",
              " 'Maryland',\n",
              " 'Massachusetts',\n",
              " 'Michigan',\n",
              " 'Minnesota',\n",
              " 'Mississippi',\n",
              " 'Missouri',\n",
              " 'Montana',\n",
              " 'Nebraska',\n",
              " 'Nevada',\n",
              " 'New Hampshire',\n",
              " 'New Jersey',\n",
              " 'New Mexico',\n",
              " 'New York',\n",
              " 'North Carolina',\n",
              " 'North Dakota',\n",
              " 'Ohio',\n",
              " 'Oklahoma',\n",
              " 'Oregon',\n",
              " 'Pennsylvania',\n",
              " 'Rhode Island',\n",
              " 'South Carolina',\n",
              " 'South Dakota',\n",
              " 'Tennessee',\n",
              " 'Texas',\n",
              " 'Utah',\n",
              " 'Vermont',\n",
              " 'Virginia',\n",
              " 'Washington',\n",
              " 'West Virginia',\n",
              " 'Wisconsin',\n",
              " 'Wyoming']"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7TdW3EBj5KfM"
      },
      "source": [
        "county = []"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Dop91ZYa_Hxo"
      },
      "source": [
        "county = list(usdata['census_fips_code'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iWLr8IGTr8Mp"
      },
      "source": [
        "counties = list(df1['FIPS'].unique())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aR_MtKqCsQ95",
        "outputId": "9cf0eae9-a167-4263-eae8-9254110c7461"
      },
      "source": [
        "counties"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['02100',\n",
              " '01007',\n",
              " '26047',\n",
              " '48239',\n",
              " '05141',\n",
              " '20109',\n",
              " '36101',\n",
              " '29197',\n",
              " '16047',\n",
              " '02261',\n",
              " '55091',\n",
              " '27065',\n",
              " '05089',\n",
              " '39095',\n",
              " '40147',\n",
              " '54017',\n",
              " '45069',\n",
              " '49033',\n",
              " '20195',\n",
              " '72039',\n",
              " '29223',\n",
              " '42027',\n",
              " '08029',\n",
              " '20039',\n",
              " '40115',\n",
              " '46047',\n",
              " '13021',\n",
              " '49011',\n",
              " '20199',\n",
              " '05079',\n",
              " '29089',\n",
              " '34021',\n",
              " '48499',\n",
              " '28057',\n",
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          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "rd1m80JoW-uo",
        "outputId": "492e72f1-bd85-42e9-e447-c71c27a0b0c7"
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      "source": [
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      "execution_count": null,
      "outputs": [
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              " ...]"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oA6UBbYpW_0r",
        "outputId": "0d3fecb5-1bc9-4a17-db49-973068151f10"
      },
      "source": [
        "len(county)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2839"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6pybbfPJXYwf"
      },
      "source": [
        "dfco = pd.DataFrame(columns = columns)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "id": "mBRIofHJXdgA",
        "outputId": "c09a0904-f087-4363-b07d-8739f43b7ac7"
      },
      "source": [
        "dfco"
      ],
      "execution_count": null,
      "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_region_code</th>\n",
              "      <th>country_region</th>\n",
              "      <th>sub_region_1</th>\n",
              "      <th>sub_region_2</th>\n",
              "      <th>metro_area</th>\n",
              "      <th>iso_3166_2_code</th>\n",
              "      <th>census_fips_code</th>\n",
              "      <th>place_id</th>\n",
              "      <th>date</th>\n",
              "      <th>retail_and_recreation_percent_change_from_baseline</th>\n",
              "      <th>grocery_and_pharmacy_percent_change_from_baseline</th>\n",
              "      <th>parks_percent_change_from_baseline</th>\n",
              "      <th>transit_stations_percent_change_from_baseline</th>\n",
              "      <th>workplaces_percent_change_from_baseline</th>\n",
              "      <th>residential_percent_change_from_baseline</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [country_region_code, country_region, sub_region_1, sub_region_2, metro_area, iso_3166_2_code, census_fips_code, place_id, date, retail_and_recreation_percent_change_from_baseline, grocery_and_pharmacy_percent_change_from_baseline, parks_percent_change_from_baseline, transit_stations_percent_change_from_baseline, workplaces_percent_change_from_baseline, residential_percent_change_from_baseline]\n",
              "Index: []"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3hcl0Pw8Vk4x",
        "outputId": "ef5563f8-8a64-4fa4-f75d-23f69df3862c"
      },
      "source": [
        "for i in county:    \n",
        "     data = pd.DataFrame(usdata.loc[(usdata['census_fips_code'] == i) & (usdata['date'] > '2021-09-06') & (usdata['date']<'2021-09-14') & (usdata['date'] != '2021-09-12')])\n",
        "     mobility = ['retail_and_recreation_percent_change_from_baseline','grocery_and_pharmacy_percent_change_from_baseline','parks_percent_change_from_baseline','transit_stations_percent_change_from_baseline','workplaces_percent_change_from_baseline','residential_percent_change_from_baseline']\n",
        "     mobility1 = ['census_fips_code','retail_and_recreation_percent_change_from_baseline','grocery_and_pharmacy_percent_change_from_baseline','parks_percent_change_from_baseline','transit_stations_percent_change_from_baseline','workplaces_percent_change_from_baseline','residential_percent_change_from_baseline']\n",
        "     d = pd.DataFrame(usdata.loc[usdata['census_fips_code'] == i])\n",
        "     d = d.drop((mobility),axis=1)\n",
        "     d = d.drop_duplicates(subset = 'census_fips_code')\n",
        "     da =pd.DataFrame(data[mobility1].mean())\n",
        "     da = da.transpose()\n",
        "     #o = [d,da]\n",
        "     fd = pd.merge(d,da,on = 'census_fips_code')\n",
        "     objs = [dfco,fd]\n",
        "     dfco = pd.concat(objs,axis = 0)\n",
        "     print(dfco)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "\n",
            "[2473 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2474 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "\n",
            "[2475 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 2.833333\n",
            "\n",
            "[2476 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2477 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2478 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2479 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2480 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2481 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2482 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.666667\n",
            "\n",
            "[2483 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 2.200000\n",
            "\n",
            "[2484 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2485 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2486 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2487 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2487 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2488 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.333333\n",
            "\n",
            "[2489 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2490 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2491 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2492 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2493 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2494 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2495 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.400000\n",
            "\n",
            "[2496 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 1.200000\n",
            "\n",
            "[2497 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 5.333333\n",
            "\n",
            "[2498 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 5.333333\n",
            "0                   US  ...                                 3.166667\n",
            "\n",
            "[2499 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 5.333333\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                -0.400000\n",
            "\n",
            "[2500 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 5.333333\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 4.333333\n",
            "\n",
            "[2501 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.333333\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                 1.800000\n",
            "\n",
            "[2502 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 1.666667\n",
            "\n",
            "[2503 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.400000\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 1.666667\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2504 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 1.666667\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 4.800000\n",
            "\n",
            "[2505 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 1.666667\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.600000\n",
            "\n",
            "[2506 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.666667\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.600000\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2507 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.600000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 6.666667\n",
            "\n",
            "[2508 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.600000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 6.666667\n",
            "\n",
            "[2508 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.600000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 5.200000\n",
            "\n",
            "[2509 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.600000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2510 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2511 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "\n",
            "[2512 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2513 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.000000\n",
            "\n",
            "[2514 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.833333\n",
            "\n",
            "[2515 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 3.500000\n",
            "\n",
            "[2516 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.333333\n",
            "\n",
            "[2517 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.800000\n",
            "\n",
            "[2518 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 5.833333\n",
            "\n",
            "[2519 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                 9.166667\n",
            "\n",
            "[2520 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2521 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2522 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.200000\n",
            "\n",
            "[2523 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2524 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                12.833333\n",
            "\n",
            "[2525 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                12.833333\n",
            "0                   US  ...                                 3.500000\n",
            "\n",
            "[2526 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                12.833333\n",
            "0                   US  ...                                 3.500000\n",
            "\n",
            "[2526 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                12.833333\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 4.500000\n",
            "\n",
            "[2527 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                12.833333\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2528 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                12.833333\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.200000\n",
            "\n",
            "[2529 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.200000\n",
            "0                   US  ...                                 1.750000\n",
            "\n",
            "[2530 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.200000\n",
            "0                   US  ...                                 1.750000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2531 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.200000\n",
            "0                   US  ...                                 1.750000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2532 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.200000\n",
            "0                   US  ...                                 1.750000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2533 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.750000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2534 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.500000\n",
            "\n",
            "[2535 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 6.400000\n",
            "\n",
            "[2536 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 6.400000\n",
            "0                   US  ...                                 1.200000\n",
            "\n",
            "[2537 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 6.400000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2538 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 6.400000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2539 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.400000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.600000\n",
            "\n",
            "[2540 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.600000\n",
            "0                   US  ...                                 5.666667\n",
            "\n",
            "[2541 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.600000\n",
            "0                   US  ...                                 5.666667\n",
            "0                   US  ...                                 5.833333\n",
            "\n",
            "[2542 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.600000\n",
            "0                   US  ...                                 5.666667\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2543 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 7.600000\n",
            "0                   US  ...                                 5.666667\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.800000\n",
            "\n",
            "[2544 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.666667\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2545 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2546 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "\n",
            "[2547 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2548 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "\n",
            "[2549 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2550 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2551 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2552 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2553 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.600000\n",
            "\n",
            "[2554 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.600000\n",
            "0                   US  ...                                 9.500000\n",
            "\n",
            "[2555 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.600000\n",
            "0                   US  ...                                 9.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2556 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.600000\n",
            "0                   US  ...                                 9.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "\n",
            "[2557 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 9.600000\n",
            "0                   US  ...                                 9.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2558 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 9.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2559 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2560 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.333333\n",
            "\n",
            "[2561 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.000000\n",
            "\n",
            "[2562 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 6.800000\n",
            "\n",
            "[2563 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 6.800000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2564 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.333333\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 6.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2565 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 6.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "\n",
            "[2566 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2567 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2568 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "\n",
            "[2569 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2570 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.200000\n",
            "\n",
            "[2571 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.166667\n",
            "\n",
            "[2572 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 6.000000\n",
            "\n",
            "[2573 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 2.666667\n",
            "\n",
            "[2574 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 7.000000\n",
            "\n",
            "[2575 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                 2.666667\n",
            "\n",
            "[2576 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2577 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 5.200000\n",
            "\n",
            "[2578 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 7.000000\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 4.000000\n",
            "\n",
            "[2579 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2580 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 8.000000\n",
            "\n",
            "[2581 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 8.000000\n",
            "0                   US  ...                                 7.666667\n",
            "\n",
            "[2582 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 8.000000\n",
            "0                   US  ...                                 7.666667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2583 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 8.000000\n",
            "0                   US  ...                                 7.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2584 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 8.000000\n",
            "0                   US  ...                                 7.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2585 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 7.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.166667\n",
            "\n",
            "[2586 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                 5.200000\n",
            "\n",
            "[2587 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2588 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "\n",
            "[2589 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 9.166667\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2590 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "\n",
            "[2591 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.400000\n",
            "\n",
            "[2592 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2593 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2594 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.500000\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "\n",
            "[2595 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2596 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.666667\n",
            "\n",
            "[2597 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2598 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.600000\n",
            "\n",
            "[2599 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.600000\n",
            "0                   US  ...                                 4.666667\n",
            "\n",
            "[2600 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.600000\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 4.833333\n",
            "\n",
            "[2601 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.600000\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2602 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.600000\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2603 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2604 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2605 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.800000\n",
            "\n",
            "[2606 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.800000\n",
            "0                   US  ...                                 3.600000\n",
            "\n",
            "[2607 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.800000\n",
            "0                   US  ...                                 3.600000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2608 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.800000\n",
            "0                   US  ...                                 3.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "\n",
            "[2609 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.800000\n",
            "0                   US  ...                                 3.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 2.166667\n",
            "\n",
            "[2610 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2611 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "\n",
            "[2612 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 5.400000\n",
            "\n",
            "[2613 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 5.400000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2614 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 5.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2615 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 5.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 6.500000\n",
            "\n",
            "[2616 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 6.500000\n",
            "0                   US  ...                                 3.800000\n",
            "\n",
            "[2617 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 6.500000\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2618 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 6.500000\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2619 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.500000\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.500000\n",
            "\n",
            "[2620 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2621 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "\n",
            "[2622 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 4.666667\n",
            "\n",
            "[2623 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.333333\n",
            "\n",
            "[2624 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 2.666667\n",
            "\n",
            "[2625 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 3.200000\n",
            "\n",
            "[2626 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 5.200000\n",
            "\n",
            "[2627 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 2.250000\n",
            "\n",
            "[2628 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 2.250000\n",
            "0                   US  ...                                 2.500000\n",
            "\n",
            "[2629 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 2.250000\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 2.400000\n",
            "\n",
            "[2630 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.200000\n",
            "0                   US  ...                                 2.250000\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2631 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.250000\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.000000\n",
            "\n",
            "[2632 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 6.666667\n",
            "\n",
            "[2633 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 3.800000\n",
            "\n",
            "[2634 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2635 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.000000\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2636 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2637 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "\n",
            "[2638 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "\n",
            "[2639 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.166667\n",
            "\n",
            "[2640 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 2.500000\n",
            "\n",
            "[2641 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 3.800000\n",
            "\n",
            "[2642 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2643 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.166667\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2644 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.500000\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "\n",
            "[2645 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 4.400000\n",
            "\n",
            "[2646 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 4.400000\n",
            "0                   US  ...                                 1.800000\n",
            "\n",
            "[2647 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 4.400000\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 5.833333\n",
            "\n",
            "[2648 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 4.400000\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2649 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.400000\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "\n",
            "[2650 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2651 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 0.833333\n",
            "\n",
            "[2652 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 0.833333\n",
            "0                   US  ...                                 3.833333\n",
            "\n",
            "[2653 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 0.833333\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 4.833333\n",
            "\n",
            "[2654 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 0.833333\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 2.166667\n",
            "\n",
            "[2655 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.833333\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.000000\n",
            "\n",
            "[2656 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2657 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "\n",
            "[2658 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                -1.833333\n",
            "\n",
            "[2659 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                -1.833333\n",
            "0                   US  ...                                 2.833333\n",
            "\n",
            "[2660 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                -1.833333\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 3.666667\n",
            "\n",
            "[2661 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                -1.833333\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2662 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -1.833333\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                10.666667\n",
            "\n",
            "[2663 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                10.666667\n",
            "0                   US  ...                                 5.000000\n",
            "\n",
            "[2664 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.666667\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                10.666667\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 2.166667\n",
            "\n",
            "[2665 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                10.666667\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.750000\n",
            "\n",
            "[2666 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                10.666667\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.750000\n",
            "0                   US  ...                                 2.333333\n",
            "\n",
            "[2667 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.750000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2668 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 0.750000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "\n",
            "[2669 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.750000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -1.200000\n",
            "\n",
            "[2670 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -1.200000\n",
            "0                   US  ...                                 1.800000\n",
            "\n",
            "[2671 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -1.200000\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2672 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -1.200000\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "\n",
            "[2673 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -1.200000\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2674 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "\n",
            "[2675 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2676 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.166667\n",
            "\n",
            "[2677 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.166667\n",
            "0                   US  ...                                 3.833333\n",
            "\n",
            "[2678 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.166667\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2679 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 7.166667\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 6.166667\n",
            "\n",
            "[2680 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 7.166667\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 6.166667\n",
            "0                   US  ...                                 1.833333\n",
            "\n",
            "[2681 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.833333\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 6.166667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 4.833333\n",
            "\n",
            "[2682 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 6.166667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 3.200000\n",
            "\n",
            "[2683 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.166667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 1.500000\n",
            "\n",
            "[2684 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2685 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2686 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2687 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2688 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "\n",
            "[2689 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 4.666667\n",
            "\n",
            "[2690 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.200000\n",
            "\n",
            "[2691 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2692 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.500000\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.400000\n",
            "\n",
            "[2693 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.666667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.400000\n",
            "0                   US  ...                                 3.250000\n",
            "\n",
            "[2694 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.400000\n",
            "0                   US  ...                                 3.250000\n",
            "0                   US  ...                                 3.200000\n",
            "\n",
            "[2695 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.400000\n",
            "0                   US  ...                                 3.250000\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2696 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.400000\n",
            "0                   US  ...                                 3.250000\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2697 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.250000\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.800000\n",
            "\n",
            "[2698 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "\n",
            "[2699 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.000000\n",
            "\n",
            "[2700 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2701 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2702 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.500000\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2703 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "\n",
            "[2704 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 2.400000\n",
            "\n",
            "[2705 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2706 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2707 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "\n",
            "[2708 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.400000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 2.000000\n",
            "\n",
            "[2709 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2710 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.166667\n",
            "\n",
            "[2711 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2712 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2713 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2714 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "\n",
            "[2715 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2716 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2717 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.600000\n",
            "\n",
            "[2718 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.600000\n",
            "0                   US  ...                                 4.800000\n",
            "\n",
            "[2719 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.600000\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.833333\n",
            "\n",
            "[2720 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.600000\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 0.500000\n",
            "\n",
            "[2721 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.600000\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 0.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2722 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.800000\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 0.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2723 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 0.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2724 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2725 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2725 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2726 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2727 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "\n",
            "[2728 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "\n",
            "[2728 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2729 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2729 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "\n",
            "[2730 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2731 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2732 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2733 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "\n",
            "[2734 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2735 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2736 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2737 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2738 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2739 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.333333\n",
            "\n",
            "[2740 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                 1.600000\n",
            "\n",
            "[2741 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 2.166667\n",
            "\n",
            "[2742 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2743 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.333333\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.666667\n",
            "\n",
            "[2744 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 1.166667\n",
            "\n",
            "[2745 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.400000\n",
            "\n",
            "[2746 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.400000\n",
            "0                   US  ...                                 1.166667\n",
            "\n",
            "[2747 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 6.666667\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.400000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.166667\n",
            "\n",
            "[2748 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.400000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.833333\n",
            "\n",
            "[2749 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.400000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.833333\n",
            "\n",
            "[2749 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.400000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2750 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2751 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.333333\n",
            "\n",
            "[2752 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.333333\n",
            "0                   US  ...                                 2.000000\n",
            "\n",
            "[2753 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.333333\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.000000\n",
            "\n",
            "[2754 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.333333\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2755 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.333333\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2756 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.800000\n",
            "\n",
            "[2757 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.800000\n",
            "0                   US  ...                                 1.833333\n",
            "\n",
            "[2758 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.800000\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                -0.200000\n",
            "\n",
            "[2759 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.800000\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                 2.333333\n",
            "\n",
            "[2760 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.800000\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 1.250000\n",
            "\n",
            "[2761 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 1.250000\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2762 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 1.250000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.500000\n",
            "\n",
            "[2763 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                 1.250000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2764 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.250000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.000000\n",
            "\n",
            "[2765 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.666667\n",
            "\n",
            "[2766 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "\n",
            "[2767 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 0.600000\n",
            "\n",
            "[2768 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 0.600000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2769 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 0.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "\n",
            "[2770 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 0.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -0.166667\n",
            "\n",
            "[2771 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                 2.200000\n",
            "\n",
            "[2772 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 2.000000\n",
            "\n",
            "[2773 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 2.833333\n",
            "\n",
            "[2774 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 4.833333\n",
            "\n",
            "[2775 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.200000\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2776 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.000000\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "\n",
            "[2777 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.833333\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2778 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 4.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.333333\n",
            "\n",
            "[2779 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2780 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.400000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "\n",
            "[2781 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                -0.666667\n",
            "\n",
            "[2782 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                -0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "\n",
            "[2783 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                -0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2784 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.666667\n",
            "0                   US  ...                                -0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "\n",
            "[2785 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.666667\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2786 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "\n",
            "[2787 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 1.833333\n",
            "\n",
            "[2788 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 3.166667\n",
            "\n",
            "[2789 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2790 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.800000\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 1.200000\n",
            "\n",
            "[2791 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.833333\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 1.600000\n",
            "\n",
            "[2792 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.166667\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2793 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 1.166667\n",
            "\n",
            "[2794 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.200000\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2795 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.600000\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2796 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
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            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 5.166667\n",
            "\n",
            "[2797 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 0.333333\n",
            "\n",
            "[2798 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
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            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 0.333333\n",
            "0                   US  ...                                 0.000000\n",
            "\n",
            "[2799 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 0.333333\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                 3.000000\n",
            "\n",
            "[2800 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 5.166667\n",
            "0                   US  ...                                 0.333333\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.166667\n",
            "\n",
            "[2801 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
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            "0                   US  ...                                 0.000000\n",
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            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.800000\n",
            "\n",
            "[2802 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.000000\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.800000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2803 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 3.000000\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "\n",
            "[2804 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                 0.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2805 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.800000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2806 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2807 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.500000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.200000\n",
            "\n",
            "[2808 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2809 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2809 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2810 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 0.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "\n",
            "[2811 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 0.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2812 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.166667\n",
            "\n",
            "[2813 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                -0.200000\n",
            "\n",
            "[2814 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 2.333333\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2815 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.600000\n",
            "\n",
            "[2816 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                 1.166667\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.600000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2817 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.200000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "\n",
            "[2818 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2819 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.600000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "\n",
            "[2820 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2821 rows x 15 columns]\n",
            "   country_region_code  ... residential_percent_change_from_baseline\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                 2.166667\n",
            "0                   US  ...                                 4.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 3.500000\n",
            "..                 ...  ...                                      ...\n",
            "0                   US  ...                                -0.166667\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                 1.000000\n",
            "0                   US  ...                                      NaN\n",
            "0                   US  ...                                      NaN\n",
            "\n",
            "[2822 rows x 15 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OFhi6ExZtRfk"
      },
      "source": [
        "dfco1 = pd.DataFrame (columns = df1.columns)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "id": "Wjc1f-P0thSw",
        "outputId": "6278fbb7-920c-47d1-e87d-3dcceba1274a"
      },
      "source": [
        "dfco1"
      ],
      "execution_count": null,
      "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>Date</th>\n",
              "      <th>FIPS</th>\n",
              "      <th>MMWR_week</th>\n",
              "      <th>Recip_County</th>\n",
              "      <th>Recip_State</th>\n",
              "      <th>Series_Complete_Pop_Pct</th>\n",
              "      <th>Series_Complete_Yes</th>\n",
              "      <th>Series_Complete_12Plus</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct</th>\n",
              "      <th>Series_Complete_18Plus</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct</th>\n",
              "      <th>Series_Complete_65Plus</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct</th>\n",
              "      <th>Completeness_pct</th>\n",
              "      <th>Administered_Dose1_Recip</th>\n",
              "      <th>Administered_Dose1_Pop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_12Plus</th>\n",
              "      <th>Administered_Dose1_Recip_12PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_18Plus</th>\n",
              "      <th>Administered_Dose1_Recip_18PlusPop_Pct</th>\n",
              "      <th>Administered_Dose1_Recip_65Plus</th>\n",
              "      <th>Administered_Dose1_Recip_65PlusPop_Pct</th>\n",
              "      <th>SVI_CTGY</th>\n",
              "      <th>Series_Complete_Pop_Pct_SVI</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_SVI</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_SVI</th>\n",
              "      <th>Metro_status</th>\n",
              "      <th>Series_Complete_Pop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_12PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_18PlusPop_Pct_UR_Equity</th>\n",
              "      <th>Series_Complete_65PlusPop_Pct_UR_Equity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
              "Index: []"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "yNbPcGdWr352",
        "outputId": "00bd183f-f579-476b-88bd-b5a10bcff245"
      },
      "source": [
        "\n",
        "for i in counties:    \n",
        "     data = pd.DataFrame(df1.loc[(df1['FIPS'] == i) & (df1['Date'] > '2021-09-05') & (df1['Date']<'2021-09-14')])\n",
        "     mobility = ['retail_and_recreation_percent_change_from_baseline','grocery_and_pharmacy_percent_change_from_baseline','parks_percent_change_from_baseline','transit_stations_percent_change_from_baseline','workplaces_percent_change_from_baseline','residential_percent_change_from_baseline']\n",
        "     mobility1 = ['census_fips_code','retail_and_recreation_percent_change_from_baseline','grocery_and_pharmacy_percent_change_from_baseline','parks_percent_change_from_baseline','transit_stations_percent_change_from_baseline','workplaces_percent_change_from_baseline','residential_percent_change_from_baseline']\n",
        "    # d = pd.DataFrame(usdata.loc[usdata['census_fips_code'] == i])\n",
        "    # d = d.drop((mobility),axis=1)\n",
        "     #d = d.drop_duplicates(subset = 'census_fips_code')\n",
        "     #da =pd.DataFrame(data[mobility1].mean())\n",
        "     #da = da.transpose()\n",
        "     #o = [d,da]\n",
        "    # fd = pd.merge(d,da,on = 'census_fips_code')\n",
        "     objs = [dfco1,data]\n",
        "     dfco1 = pd.concat(objs,axis = 0)\n",
        "     print(dfco1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n",
            "Empty DataFrame\n",
            "Columns: [Date, FIPS, MMWR_week, Recip_County, Recip_State, Series_Complete_Pop_Pct, Series_Complete_Yes, Series_Complete_12Plus, Series_Complete_12PlusPop_Pct, Series_Complete_18Plus, Series_Complete_18PlusPop_Pct, Series_Complete_65Plus, Series_Complete_65PlusPop_Pct, Completeness_pct, Administered_Dose1_Recip, Administered_Dose1_Pop_Pct, Administered_Dose1_Recip_12Plus, Administered_Dose1_Recip_12PlusPop_Pct, Administered_Dose1_Recip_18Plus, Administered_Dose1_Recip_18PlusPop_Pct, Administered_Dose1_Recip_65Plus, Administered_Dose1_Recip_65PlusPop_Pct, SVI_CTGY, Series_Complete_Pop_Pct_SVI, Series_Complete_12PlusPop_Pct_SVI, Series_Complete_18PlusPop_Pct_SVI, Series_Complete_65PlusPop_Pct_SVI, Metro_status, Series_Complete_Pop_Pct_UR_Equity, Series_Complete_12PlusPop_Pct_UR_Equity, Series_Complete_18PlusPop_Pct_UR_Equity, Series_Complete_65PlusPop_Pct_UR_Equity]\n",
            "Index: []\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-23-ce76c28f6a90>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcounties\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m      \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'FIPS'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Date'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;34m'2021-09-05'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Date'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0;34m'2021-09-14'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m      \u001b[0mmobility\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'retail_and_recreation_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'grocery_and_pharmacy_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'parks_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'transit_stations_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'workplaces_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'residential_percent_change_from_baseline'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m      \u001b[0mmobility1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'census_fips_code'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'retail_and_recreation_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'grocery_and_pharmacy_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'parks_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'transit_stations_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'workplaces_percent_change_from_baseline'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'residential_percent_change_from_baseline'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/ops/common.py\u001b[0m in \u001b[0;36mnew_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m     63\u001b[0m         \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 65\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     66\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/ops/__init__.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    368\u001b[0m         \u001b[0mrvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    369\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 370\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomparison_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    371\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    372\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_construct_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomparison_op\u001b[0;34m(left, right, op)\u001b[0m\n\u001b[1;32m    242\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    243\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 244\u001b[0;31m         \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcomp_method_OBJECT_ARRAY\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    245\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/ops/array_ops.py\u001b[0m in \u001b[0;36mcomp_method_OBJECT_ARRAY\u001b[0;34m(op, x, y)\u001b[0m\n\u001b[1;32m     54\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscalar_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     57\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YpWdhNKkXCy1"
      },
      "source": [
        "dfco.to_excel('/content/drive/MyDrive/Colab Notebooks/MOBILITY.xlsx')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B10SkowydSP_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 384
        },
        "outputId": "d2d9dfe4-cc45-4c84-bcd8-30779c624490"
      },
      "source": [
        "dfco.to_excel('US 2021 Mobility Report.xlsx')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-6-27befb9ba3dd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdfco\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_excel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'US 2021 Mobility Report.xlsx'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'dfco' is not defined"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wE-wJAK8erdh"
      },
      "source": [
        "pd.read_excel('/content/US 2021 Mobility Report.xlsx')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5Bu4RKiJXdRs",
        "outputId": "7548246c-e309-4c8a-e5e7-399b38a532ec"
      },
      "source": [
        "pip install plotly==4.5"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: plotly==4.5 in /usr/local/lib/python3.7/dist-packages (4.5.0)\n",
            "Requirement already satisfied: retrying>=1.3.3 in /usr/local/lib/python3.7/dist-packages (from plotly==4.5) (1.3.3)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from plotly==4.5) (1.15.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sJUSGCQMVTyl"
      },
      "source": [
        "\n",
        "\n",
        "import plotly\n",
        "from urllib.request import urlopen\n",
        "import json\n",
        "with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:\n",
        "    counties = json.load(response)\n",
        "\n",
        "import pandas as pd\n",
        "df =pd.read_excel('/content/drive/MyDrive/Colab Notebooks/Mobility 2021.xlsx',dtype={\"fips\": str})\n",
        "\n",
        "import plotly.express as px\n",
        "\n",
        "fig = px.choropleth(df,geojson = counties,locations='census_fips_code', color='retail_and_recreation_percent_change_from_baseline',\n",
        "                           color_continuous_scale=\"Viridis\",\n",
        "                           range_color=(-10, 10),\n",
        "                           scope=\"usa\",\n",
        "                           labels={'unemp':'unemployment rate'}\n",
        "                          )\n",
        "#fig.update_layout(margin={\"r\":0,\"t\":0,\"l\":0,\"b\":0})\n",
        "fig.show()"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}