ML_Final_Project_CNN_Model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "pZdpzMLTsO4n"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import datetime\n",
    "\n",
    "import IPython\n",
    "import IPython.display\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "QOU7BGNSsO4r",
    "outputId": "2b0ff4e8-efd9-4ac6-e5e5-e3bfea5cfca2"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>total_cases</th>\n",
       "      <th>new_cases</th>\n",
       "      <th>new_cases_smoothed</th>\n",
       "      <th>total_deaths</th>\n",
       "      <th>new_deaths</th>\n",
       "      <th>new_deaths_smoothed</th>\n",
       "      <th>total_cases_per_million</th>\n",
       "      <th>new_cases_per_million</th>\n",
       "      <th>new_cases_smoothed_per_million</th>\n",
       "      <th>...</th>\n",
       "      <th>extreme_poverty</th>\n",
       "      <th>cardiovasc_death_rate</th>\n",
       "      <th>diabetes_prevalence</th>\n",
       "      <th>female_smokers</th>\n",
       "      <th>male_smokers</th>\n",
       "      <th>handwashing_facilities</th>\n",
       "      <th>hospital_beds_per_thousand</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>human_development_index</th>\n",
       "      <th>country_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.585008e+09</td>\n",
       "      <td>-0.194338</td>\n",
       "      <td>-0.196817</td>\n",
       "      <td>-0.199902</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.526424</td>\n",
       "      <td>0.300057</td>\n",
       "      <td>-0.250378</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.892317</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.585094e+09</td>\n",
       "      <td>-0.194326</td>\n",
       "      <td>-0.197407</td>\n",
       "      <td>-0.199757</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.517723</td>\n",
       "      <td>0.077947</td>\n",
       "      <td>-0.175102</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.892317</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.585181e+09</td>\n",
       "      <td>-0.194321</td>\n",
       "      <td>-0.197997</td>\n",
       "      <td>-0.199698</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.514243</td>\n",
       "      <td>-0.144154</td>\n",
       "      <td>-0.144996</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.892317</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.585267e+09</td>\n",
       "      <td>-0.194298</td>\n",
       "      <td>-0.196620</td>\n",
       "      <td>-0.199495</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.498581</td>\n",
       "      <td>0.374090</td>\n",
       "      <td>-0.039625</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.892317</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.585354e+09</td>\n",
       "      <td>-0.194298</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-0.199495</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.498581</td>\n",
       "      <td>-0.292229</td>\n",
       "      <td>-0.039625</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.892317</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.0</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",
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       "    <tr>\n",
       "      <th>32798</th>\n",
       "      <td>1.603930e+09</td>\n",
       "      <td>-0.173515</td>\n",
       "      <td>-0.197407</td>\n",
       "      <td>-0.197138</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.443301</td>\n",
       "      <td>-0.289573</td>\n",
       "      <td>-0.389556</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500864</td>\n",
       "      <td>0.474597</td>\n",
       "      <td>-1.478607</td>\n",
       "      <td>-1.049477</td>\n",
       "      <td>-0.150829</td>\n",
       "      <td>-0.749497</td>\n",
       "      <td>-0.617704</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32799</th>\n",
       "      <td>1.604016e+09</td>\n",
       "      <td>-0.173442</td>\n",
       "      <td>-0.192687</td>\n",
       "      <td>-0.197080</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.442939</td>\n",
       "      <td>-0.276807</td>\n",
       "      <td>-0.389343</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500864</td>\n",
       "      <td>0.474597</td>\n",
       "      <td>-1.478607</td>\n",
       "      <td>-1.049477</td>\n",
       "      <td>-0.150829</td>\n",
       "      <td>-0.749497</td>\n",
       "      <td>-0.617704</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32800</th>\n",
       "      <td>1.604102e+09</td>\n",
       "      <td>-0.173409</td>\n",
       "      <td>-0.195833</td>\n",
       "      <td>-0.197138</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.442776</td>\n",
       "      <td>-0.285313</td>\n",
       "      <td>-0.389556</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500864</td>\n",
       "      <td>0.474597</td>\n",
       "      <td>-1.478607</td>\n",
       "      <td>-1.049477</td>\n",
       "      <td>-0.150829</td>\n",
       "      <td>-0.749497</td>\n",
       "      <td>-0.617704</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32801</th>\n",
       "      <td>1.604189e+09</td>\n",
       "      <td>-0.173409</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-0.197487</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.442776</td>\n",
       "      <td>-0.292229</td>\n",
       "      <td>-0.390850</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500864</td>\n",
       "      <td>0.474597</td>\n",
       "      <td>-1.478607</td>\n",
       "      <td>-1.049477</td>\n",
       "      <td>-0.150829</td>\n",
       "      <td>-0.749497</td>\n",
       "      <td>-0.617704</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>212.0</td>\n",
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       "    <tr>\n",
       "      <th>32802</th>\n",
       "      <td>1.604275e+09</td>\n",
       "      <td>-0.173379</td>\n",
       "      <td>-0.196030</td>\n",
       "      <td>-0.197342</td>\n",
       "      <td>-0.268074</td>\n",
       "      <td>-0.217659</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.442626</td>\n",
       "      <td>-0.285850</td>\n",
       "      <td>-0.390310</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500864</td>\n",
       "      <td>0.474597</td>\n",
       "      <td>-1.478607</td>\n",
       "      <td>-1.049477</td>\n",
       "      <td>-0.150829</td>\n",
       "      <td>-0.749497</td>\n",
       "      <td>-0.617704</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>32803 rows × 46 columns</p>\n",
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      "text/plain": [
       "               date  total_cases  new_cases  new_cases_smoothed  total_deaths  \\\n",
       "0      1.585008e+09    -0.194338  -0.196817           -0.199902      0.007391   \n",
       "1      1.585094e+09    -0.194326  -0.197407           -0.199757      0.007391   \n",
       "2      1.585181e+09    -0.194321  -0.197997           -0.199698      0.007391   \n",
       "3      1.585267e+09    -0.194298  -0.196620           -0.199495      0.007391   \n",
       "4      1.585354e+09    -0.194298  -0.198390           -0.199495      0.007391   \n",
       "...             ...          ...        ...                 ...           ...   \n",
       "32798  1.603930e+09    -0.173515  -0.197407           -0.197138     -0.268163   \n",
       "32799  1.604016e+09    -0.173442  -0.192687           -0.197080     -0.268163   \n",
       "32800  1.604102e+09    -0.173409  -0.195833           -0.197138     -0.268163   \n",
       "32801  1.604189e+09    -0.173409  -0.198390           -0.197487     -0.268163   \n",
       "32802  1.604275e+09    -0.173379  -0.196030           -0.197342     -0.268074   \n",
       "\n",
       "       new_deaths  new_deaths_smoothed  total_cases_per_million  \\\n",
       "0       -0.226347            -0.239105                -0.526424   \n",
       "1       -0.226347            -0.239105                -0.517723   \n",
       "2       -0.226347            -0.239105                -0.514243   \n",
       "3       -0.226347            -0.239105                -0.498581   \n",
       "4       -0.226347            -0.239105                -0.498581   \n",
       "...           ...                  ...                      ...   \n",
       "32798   -0.226347            -0.231169                -0.443301   \n",
       "32799   -0.226347            -0.231169                -0.442939   \n",
       "32800   -0.226347            -0.231169                -0.442776   \n",
       "32801   -0.226347            -0.231169                -0.442776   \n",
       "32802   -0.217659            -0.231169                -0.442626   \n",
       "\n",
       "       new_cases_per_million  new_cases_smoothed_per_million  ...  \\\n",
       "0                   0.300057                       -0.250378  ...   \n",
       "1                   0.077947                       -0.175102  ...   \n",
       "2                  -0.144154                       -0.144996  ...   \n",
       "3                   0.374090                       -0.039625  ...   \n",
       "4                  -0.292229                       -0.039625  ...   \n",
       "...                      ...                             ...  ...   \n",
       "32798              -0.289573                       -0.389556  ...   \n",
       "32799              -0.276807                       -0.389343  ...   \n",
       "32800              -0.285313                       -0.389556  ...   \n",
       "32801              -0.292229                       -0.390850  ...   \n",
       "32802              -0.285850                       -0.390310  ...   \n",
       "\n",
       "       extreme_poverty  cardiovasc_death_rate  diabetes_prevalence  \\\n",
       "0             0.007324              -0.001390             0.892317   \n",
       "1             0.007324              -0.001390             0.892317   \n",
       "2             0.007324              -0.001390             0.892317   \n",
       "3             0.007324              -0.001390             0.892317   \n",
       "4             0.007324              -0.001390             0.892317   \n",
       "...                ...                    ...                  ...   \n",
       "32798         0.500864               0.474597            -1.478607   \n",
       "32799         0.500864               0.474597            -1.478607   \n",
       "32800         0.500864               0.474597            -1.478607   \n",
       "32801         0.500864               0.474597            -1.478607   \n",
       "32802         0.500864               0.474597            -1.478607   \n",
       "\n",
       "       female_smokers  male_smokers  handwashing_facilities  \\\n",
       "0           -0.046508      0.025368               -0.062867   \n",
       "1           -0.046508      0.025368               -0.062867   \n",
       "2           -0.046508      0.025368               -0.062867   \n",
       "3           -0.046508      0.025368               -0.062867   \n",
       "4           -0.046508      0.025368               -0.062867   \n",
       "...               ...           ...                     ...   \n",
       "32798       -1.049477     -0.150829               -0.749497   \n",
       "32799       -1.049477     -0.150829               -0.749497   \n",
       "32800       -1.049477     -0.150829               -0.749497   \n",
       "32801       -1.049477     -0.150829               -0.749497   \n",
       "32802       -1.049477     -0.150829               -0.749497   \n",
       "\n",
       "       hospital_beds_per_thousand  life_expectancy  human_development_index  \\\n",
       "0                       -0.029765         0.334627                -0.050679   \n",
       "1                       -0.029765         0.334627                -0.050679   \n",
       "2                       -0.029765         0.334627                -0.050679   \n",
       "3                       -0.029765         0.334627                -0.050679   \n",
       "4                       -0.029765         0.334627                -0.050679   \n",
       "...                           ...              ...                      ...   \n",
       "32798                   -0.617704        -1.686571                -1.290717   \n",
       "32799                   -0.617704        -1.686571                -1.290717   \n",
       "32800                   -0.617704        -1.686571                -1.290717   \n",
       "32801                   -0.617704        -1.686571                -1.290717   \n",
       "32802                   -0.617704        -1.686571                -1.290717   \n",
       "\n",
       "       country_id  \n",
       "0             0.0  \n",
       "1             0.0  \n",
       "2             0.0  \n",
       "3             0.0  \n",
       "4             0.0  \n",
       "...           ...  \n",
       "32798       212.0  \n",
       "32799       212.0  \n",
       "32800       212.0  \n",
       "32801       212.0  \n",
       "32802       212.0  \n",
       "\n",
       "[32803 rows x 46 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>total_cases</th>\n",
       "      <th>new_cases</th>\n",
       "      <th>new_cases_smoothed</th>\n",
       "      <th>total_deaths</th>\n",
       "      <th>new_deaths</th>\n",
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       "      <th>new_cases_per_million</th>\n",
       "      <th>new_cases_smoothed_per_million</th>\n",
       "      <th>...</th>\n",
       "      <th>extreme_poverty</th>\n",
       "      <th>cardiovasc_death_rate</th>\n",
       "      <th>diabetes_prevalence</th>\n",
       "      <th>female_smokers</th>\n",
       "      <th>male_smokers</th>\n",
       "      <th>handwashing_facilities</th>\n",
       "      <th>hospital_beds_per_thousand</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>human_development_index</th>\n",
       "      <th>country_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.585008e+09</td>\n",
       "      <td>-0.194035</td>\n",
       "      <td>-0.194457</td>\n",
       "      <td>-0.196731</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.227485</td>\n",
       "      <td>1.753848</td>\n",
       "      <td>2.074420</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-1.344575</td>\n",
       "      <td>0.009268</td>\n",
       "      <td>2.049378</td>\n",
       "      <td>0.507886</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.585094e+09</td>\n",
       "      <td>-0.193957</td>\n",
       "      <td>-0.192294</td>\n",
       "      <td>-0.195829</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.152940</td>\n",
       "      <td>2.879199</td>\n",
       "      <td>2.719257</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-1.344575</td>\n",
       "      <td>0.009268</td>\n",
       "      <td>2.049378</td>\n",
       "      <td>0.507886</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.585181e+09</td>\n",
       "      <td>-0.193897</td>\n",
       "      <td>-0.193670</td>\n",
       "      <td>-0.196266</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.095228</td>\n",
       "      <td>2.163065</td>\n",
       "      <td>2.407239</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-1.344575</td>\n",
       "      <td>0.009268</td>\n",
       "      <td>2.049378</td>\n",
       "      <td>0.507886</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.585267e+09</td>\n",
       "      <td>-0.193807</td>\n",
       "      <td>-0.191310</td>\n",
       "      <td>-0.195858</td>\n",
       "      <td>-0.289542</td>\n",
       "      <td>-0.200283</td>\n",
       "      <td>-0.235132</td>\n",
       "      <td>-0.008660</td>\n",
       "      <td>3.390716</td>\n",
       "      <td>2.698455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-1.344575</td>\n",
       "      <td>0.009268</td>\n",
       "      <td>2.049378</td>\n",
       "      <td>0.507886</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.585354e+09</td>\n",
       "      <td>-0.193699</td>\n",
       "      <td>-0.189934</td>\n",
       "      <td>-0.194607</td>\n",
       "      <td>-0.289542</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.235132</td>\n",
       "      <td>0.094741</td>\n",
       "      <td>4.106842</td>\n",
       "      <td>3.592893</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>-1.344575</td>\n",
       "      <td>0.009268</td>\n",
       "      <td>2.049378</td>\n",
       "      <td>0.507886</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>5.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9316</th>\n",
       "      <td>1.603930e+09</td>\n",
       "      <td>-0.147683</td>\n",
       "      <td>-0.143129</td>\n",
       "      <td>-0.160540</td>\n",
       "      <td>-0.229609</td>\n",
       "      <td>-0.191594</td>\n",
       "      <td>-0.217937</td>\n",
       "      <td>1.243207</td>\n",
       "      <td>0.856985</td>\n",
       "      <td>0.732488</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.837763</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.035072</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9317</th>\n",
       "      <td>1.604016e+09</td>\n",
       "      <td>-0.146971</td>\n",
       "      <td>-0.142539</td>\n",
       "      <td>-0.156904</td>\n",
       "      <td>-0.229519</td>\n",
       "      <td>-0.217659</td>\n",
       "      <td>-0.216613</td>\n",
       "      <td>1.270508</td>\n",
       "      <td>0.869253</td>\n",
       "      <td>0.836441</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.837763</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.035072</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9318</th>\n",
       "      <td>1.604102e+09</td>\n",
       "      <td>-0.145923</td>\n",
       "      <td>-0.116187</td>\n",
       "      <td>-0.149659</td>\n",
       "      <td>-0.229161</td>\n",
       "      <td>-0.191594</td>\n",
       "      <td>-0.213974</td>\n",
       "      <td>1.310690</td>\n",
       "      <td>1.417274</td>\n",
       "      <td>1.043493</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.837763</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.035072</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9319</th>\n",
       "      <td>1.604189e+09</td>\n",
       "      <td>-0.144635</td>\n",
       "      <td>-0.097307</td>\n",
       "      <td>-0.139535</td>\n",
       "      <td>-0.228893</td>\n",
       "      <td>-0.200283</td>\n",
       "      <td>-0.212649</td>\n",
       "      <td>1.360101</td>\n",
       "      <td>1.809891</td>\n",
       "      <td>1.332875</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.837763</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.035072</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9320</th>\n",
       "      <td>1.604275e+09</td>\n",
       "      <td>-0.143790</td>\n",
       "      <td>-0.132116</td>\n",
       "      <td>-0.135142</td>\n",
       "      <td>-0.228267</td>\n",
       "      <td>-0.165530</td>\n",
       "      <td>-0.206038</td>\n",
       "      <td>1.392497</td>\n",
       "      <td>1.086011</td>\n",
       "      <td>1.458429</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.837763</td>\n",
       "      <td>-0.001390</td>\n",
       "      <td>0.035072</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.029765</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9321 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  total_cases  new_cases  new_cases_smoothed  total_deaths  \\\n",
       "0     1.585008e+09    -0.194035  -0.194457           -0.196731      0.007391   \n",
       "1     1.585094e+09    -0.193957  -0.192294           -0.195829      0.007391   \n",
       "2     1.585181e+09    -0.193897  -0.193670           -0.196266      0.007391   \n",
       "3     1.585267e+09    -0.193807  -0.191310           -0.195858     -0.289542   \n",
       "4     1.585354e+09    -0.193699  -0.189934           -0.194607     -0.289542   \n",
       "...            ...          ...        ...                 ...           ...   \n",
       "9316  1.603930e+09    -0.147683  -0.143129           -0.160540     -0.229609   \n",
       "9317  1.604016e+09    -0.146971  -0.142539           -0.156904     -0.229519   \n",
       "9318  1.604102e+09    -0.145923  -0.116187           -0.149659     -0.229161   \n",
       "9319  1.604189e+09    -0.144635  -0.097307           -0.139535     -0.228893   \n",
       "9320  1.604275e+09    -0.143790  -0.132116           -0.135142     -0.228267   \n",
       "\n",
       "      new_deaths  new_deaths_smoothed  total_cases_per_million  \\\n",
       "0      -0.226347            -0.239105                -0.227485   \n",
       "1      -0.226347            -0.239105                -0.152940   \n",
       "2      -0.226347            -0.239105                -0.095228   \n",
       "3      -0.200283            -0.235132                -0.008660   \n",
       "4      -0.226347            -0.235132                 0.094741   \n",
       "...          ...                  ...                      ...   \n",
       "9316   -0.191594            -0.217937                 1.243207   \n",
       "9317   -0.217659            -0.216613                 1.270508   \n",
       "9318   -0.191594            -0.213974                 1.310690   \n",
       "9319   -0.200283            -0.212649                 1.360101   \n",
       "9320   -0.165530            -0.206038                 1.392497   \n",
       "\n",
       "      new_cases_per_million  new_cases_smoothed_per_million  ...  \\\n",
       "0                  1.753848                        2.074420  ...   \n",
       "1                  2.879199                        2.719257  ...   \n",
       "2                  2.163065                        2.407239  ...   \n",
       "3                  3.390716                        2.698455  ...   \n",
       "4                  4.106842                        3.592893  ...   \n",
       "...                     ...                             ...  ...   \n",
       "9316               0.856985                        0.732488  ...   \n",
       "9317               0.869253                        0.836441  ...   \n",
       "9318               1.417274                        1.043493  ...   \n",
       "9319               1.809891                        1.332875  ...   \n",
       "9320               1.086011                        1.458429  ...   \n",
       "\n",
       "      extreme_poverty  cardiovasc_death_rate  diabetes_prevalence  \\\n",
       "0            0.007324              -1.344575             0.009268   \n",
       "1            0.007324              -1.344575             0.009268   \n",
       "2            0.007324              -1.344575             0.009268   \n",
       "3            0.007324              -1.344575             0.009268   \n",
       "4            0.007324              -1.344575             0.009268   \n",
       "...               ...                    ...                  ...   \n",
       "9316        -0.837763              -0.001390             0.035072   \n",
       "9317        -0.837763              -0.001390             0.035072   \n",
       "9318        -0.837763              -0.001390             0.035072   \n",
       "9319        -0.837763              -0.001390             0.035072   \n",
       "9320        -0.837763              -0.001390             0.035072   \n",
       "\n",
       "      female_smokers  male_smokers  handwashing_facilities  \\\n",
       "0           2.049378      0.507886               -0.062867   \n",
       "1           2.049378      0.507886               -0.062867   \n",
       "2           2.049378      0.507886               -0.062867   \n",
       "3           2.049378      0.507886               -0.062867   \n",
       "4           2.049378      0.507886               -0.062867   \n",
       "...              ...           ...                     ...   \n",
       "9316       -0.046508      0.025368               -0.062867   \n",
       "9317       -0.046508      0.025368               -0.062867   \n",
       "9318       -0.046508      0.025368               -0.062867   \n",
       "9319       -0.046508      0.025368               -0.062867   \n",
       "9320       -0.046508      0.025368               -0.062867   \n",
       "\n",
       "      hospital_beds_per_thousand  life_expectancy  human_development_index  \\\n",
       "0                      -0.029765         1.350689                 0.984488   \n",
       "1                      -0.029765         1.350689                 0.984488   \n",
       "2                      -0.029765         1.350689                 0.984488   \n",
       "3                      -0.029765         1.350689                 0.984488   \n",
       "4                      -0.029765         1.350689                 0.984488   \n",
       "...                          ...              ...                      ...   \n",
       "9316                   -0.029765        -0.042196                -0.050679   \n",
       "9317                   -0.029765        -0.042196                -0.050679   \n",
       "9318                   -0.029765        -0.042196                -0.050679   \n",
       "9319                   -0.029765        -0.042196                -0.050679   \n",
       "9320                   -0.029765        -0.042196                -0.050679   \n",
       "\n",
       "      country_id  \n",
       "0            5.0  \n",
       "1            5.0  \n",
       "2            5.0  \n",
       "3            5.0  \n",
       "4            5.0  \n",
       "...          ...  \n",
       "9316       208.0  \n",
       "9317       208.0  \n",
       "9318       208.0  \n",
       "9319       208.0  \n",
       "9320       208.0  \n",
       "\n",
       "[9321 rows x 46 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>total_cases</th>\n",
       "      <th>new_cases</th>\n",
       "      <th>new_cases_smoothed</th>\n",
       "      <th>total_deaths</th>\n",
       "      <th>new_deaths</th>\n",
       "      <th>new_deaths_smoothed</th>\n",
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       "      <th>new_cases_per_million</th>\n",
       "      <th>new_cases_smoothed_per_million</th>\n",
       "      <th>...</th>\n",
       "      <th>extreme_poverty</th>\n",
       "      <th>cardiovasc_death_rate</th>\n",
       "      <th>diabetes_prevalence</th>\n",
       "      <th>female_smokers</th>\n",
       "      <th>male_smokers</th>\n",
       "      <th>handwashing_facilities</th>\n",
       "      <th>hospital_beds_per_thousand</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>human_development_index</th>\n",
       "      <th>country_id</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.585008e+09</td>\n",
       "      <td>-0.194358</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-0.200106</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.547153</td>\n",
       "      <td>-0.292229</td>\n",
       "      <td>-0.399907</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>1.645330</td>\n",
       "      <td>-0.443143</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-1.765132</td>\n",
       "      <td>-0.931125</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.585094e+09</td>\n",
       "      <td>-0.194358</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-0.200106</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.547153</td>\n",
       "      <td>-0.292229</td>\n",
       "      <td>-0.399907</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>1.645330</td>\n",
       "      <td>-0.443143</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-1.765132</td>\n",
       "      <td>-0.931125</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.585181e+09</td>\n",
       "      <td>-0.194358</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-0.200106</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.547153</td>\n",
       "      <td>-0.292229</td>\n",
       "      <td>-0.399907</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>1.645330</td>\n",
       "      <td>-0.443143</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-1.765132</td>\n",
       "      <td>-0.931125</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.585267e+09</td>\n",
       "      <td>-0.194356</td>\n",
       "      <td>-0.198193</td>\n",
       "      <td>-0.200077</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.547115</td>\n",
       "      <td>-0.290593</td>\n",
       "      <td>-0.399581</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>1.645330</td>\n",
       "      <td>-0.443143</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-1.765132</td>\n",
       "      <td>-0.931125</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.585354e+09</td>\n",
       "      <td>-0.194356</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-0.200077</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.226347</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.547115</td>\n",
       "      <td>-0.292229</td>\n",
       "      <td>-0.399581</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>1.645330</td>\n",
       "      <td>-0.443143</td>\n",
       "      <td>-0.046508</td>\n",
       "      <td>0.025368</td>\n",
       "      <td>-1.765132</td>\n",
       "      <td>-0.931125</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>32.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4475</th>\n",
       "      <td>1.603930e+09</td>\n",
       "      <td>22.008139</td>\n",
       "      <td>15.213958</td>\n",
       "      <td>14.978587</td>\n",
       "      <td>20.078669</td>\n",
       "      <td>8.261975</td>\n",
       "      <td>7.035128</td>\n",
       "      <td>4.424847</td>\n",
       "      <td>1.579308</td>\n",
       "      <td>2.132427</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.799149</td>\n",
       "      <td>-0.960492</td>\n",
       "      <td>0.691514</td>\n",
       "      <td>0.929719</td>\n",
       "      <td>-0.716768</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.138618</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4476</th>\n",
       "      <td>1.604016e+09</td>\n",
       "      <td>22.229036</td>\n",
       "      <td>17.133152</td>\n",
       "      <td>15.446161</td>\n",
       "      <td>20.165259</td>\n",
       "      <td>8.183781</td>\n",
       "      <td>7.203128</td>\n",
       "      <td>4.474316</td>\n",
       "      <td>1.812365</td>\n",
       "      <td>2.210471</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.799149</td>\n",
       "      <td>-0.960492</td>\n",
       "      <td>0.691514</td>\n",
       "      <td>0.929719</td>\n",
       "      <td>-0.716768</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.138618</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4477</th>\n",
       "      <td>1.604102e+09</td>\n",
       "      <td>22.482875</td>\n",
       "      <td>19.717838</td>\n",
       "      <td>15.910012</td>\n",
       "      <td>20.258291</td>\n",
       "      <td>8.809328</td>\n",
       "      <td>7.318218</td>\n",
       "      <td>4.531162</td>\n",
       "      <td>2.126222</td>\n",
       "      <td>2.287884</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.799149</td>\n",
       "      <td>-0.960492</td>\n",
       "      <td>0.691514</td>\n",
       "      <td>0.929719</td>\n",
       "      <td>-0.716768</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.138618</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4478</th>\n",
       "      <td>1.604189e+09</td>\n",
       "      <td>22.680722</td>\n",
       "      <td>15.324677</td>\n",
       "      <td>15.790093</td>\n",
       "      <td>20.334147</td>\n",
       "      <td>7.141203</td>\n",
       "      <td>7.244140</td>\n",
       "      <td>4.575469</td>\n",
       "      <td>1.592754</td>\n",
       "      <td>2.267870</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.799149</td>\n",
       "      <td>-0.960492</td>\n",
       "      <td>0.691514</td>\n",
       "      <td>0.929719</td>\n",
       "      <td>-0.716768</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.138618</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4479</th>\n",
       "      <td>1.604275e+09</td>\n",
       "      <td>22.883750</td>\n",
       "      <td>15.731171</td>\n",
       "      <td>16.417356</td>\n",
       "      <td>20.373506</td>\n",
       "      <td>3.596439</td>\n",
       "      <td>7.388324</td>\n",
       "      <td>4.620937</td>\n",
       "      <td>1.642118</td>\n",
       "      <td>2.372555</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.799149</td>\n",
       "      <td>-0.960492</td>\n",
       "      <td>0.691514</td>\n",
       "      <td>0.929719</td>\n",
       "      <td>-0.716768</td>\n",
       "      <td>-0.062867</td>\n",
       "      <td>-0.138618</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4480 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  total_cases  new_cases  new_cases_smoothed  total_deaths  \\\n",
       "0     1.585008e+09    -0.194358  -0.198390           -0.200106      0.007391   \n",
       "1     1.585094e+09    -0.194358  -0.198390           -0.200106      0.007391   \n",
       "2     1.585181e+09    -0.194358  -0.198390           -0.200106      0.007391   \n",
       "3     1.585267e+09    -0.194356  -0.198193           -0.200077      0.007391   \n",
       "4     1.585354e+09    -0.194356  -0.198390           -0.200077      0.007391   \n",
       "...            ...          ...        ...                 ...           ...   \n",
       "4475  1.603930e+09    22.008139  15.213958           14.978587     20.078669   \n",
       "4476  1.604016e+09    22.229036  17.133152           15.446161     20.165259   \n",
       "4477  1.604102e+09    22.482875  19.717838           15.910012     20.258291   \n",
       "4478  1.604189e+09    22.680722  15.324677           15.790093     20.334147   \n",
       "4479  1.604275e+09    22.883750  15.731171           16.417356     20.373506   \n",
       "\n",
       "      new_deaths  new_deaths_smoothed  total_cases_per_million  \\\n",
       "0      -0.226347            -0.239105                -0.547153   \n",
       "1      -0.226347            -0.239105                -0.547153   \n",
       "2      -0.226347            -0.239105                -0.547153   \n",
       "3      -0.226347            -0.239105                -0.547115   \n",
       "4      -0.226347            -0.239105                -0.547115   \n",
       "...          ...                  ...                      ...   \n",
       "4475    8.261975             7.035128                 4.424847   \n",
       "4476    8.183781             7.203128                 4.474316   \n",
       "4477    8.809328             7.318218                 4.531162   \n",
       "4478    7.141203             7.244140                 4.575469   \n",
       "4479    3.596439             7.388324                 4.620937   \n",
       "\n",
       "      new_cases_per_million  new_cases_smoothed_per_million  ...  \\\n",
       "0                 -0.292229                       -0.399907  ...   \n",
       "1                 -0.292229                       -0.399907  ...   \n",
       "2                 -0.292229                       -0.399907  ...   \n",
       "3                 -0.290593                       -0.399581  ...   \n",
       "4                 -0.292229                       -0.399581  ...   \n",
       "...                     ...                             ...  ...   \n",
       "4475               1.579308                        2.132427  ...   \n",
       "4476               1.812365                        2.210471  ...   \n",
       "4477               2.126222                        2.287884  ...   \n",
       "4478               1.592754                        2.267870  ...   \n",
       "4479               1.642118                        2.372555  ...   \n",
       "\n",
       "      extreme_poverty  cardiovasc_death_rate  diabetes_prevalence  \\\n",
       "0            0.007324               1.645330            -0.443143   \n",
       "1            0.007324               1.645330            -0.443143   \n",
       "2            0.007324               1.645330            -0.443143   \n",
       "3            0.007324               1.645330            -0.443143   \n",
       "4            0.007324               1.645330            -0.443143   \n",
       "...               ...                    ...                  ...   \n",
       "4475        -0.799149              -0.960492             0.691514   \n",
       "4476        -0.799149              -0.960492             0.691514   \n",
       "4477        -0.799149              -0.960492             0.691514   \n",
       "4478        -0.799149              -0.960492             0.691514   \n",
       "4479        -0.799149              -0.960492             0.691514   \n",
       "\n",
       "      female_smokers  male_smokers  handwashing_facilities  \\\n",
       "0          -0.046508      0.025368               -1.765132   \n",
       "1          -0.046508      0.025368               -1.765132   \n",
       "2          -0.046508      0.025368               -1.765132   \n",
       "3          -0.046508      0.025368               -1.765132   \n",
       "4          -0.046508      0.025368               -1.765132   \n",
       "...              ...           ...                     ...   \n",
       "4475        0.929719     -0.716768               -0.062867   \n",
       "4476        0.929719     -0.716768               -0.062867   \n",
       "4477        0.929719     -0.716768               -0.062867   \n",
       "4478        0.929719     -0.716768               -0.062867   \n",
       "4479        0.929719     -0.716768               -0.062867   \n",
       "\n",
       "      hospital_beds_per_thousand  life_expectancy  human_development_index  \\\n",
       "0                      -0.931125        -2.807790                -2.474105   \n",
       "1                      -0.931125        -2.807790                -2.474105   \n",
       "2                      -0.931125        -2.807790                -2.474105   \n",
       "3                      -0.931125        -2.807790                -2.474105   \n",
       "4                      -0.931125        -2.807790                -2.474105   \n",
       "...                          ...              ...                      ...   \n",
       "4475                   -0.138618         0.685605                 1.449390   \n",
       "4476                   -0.138618         0.685605                 1.449390   \n",
       "4477                   -0.138618         0.685605                 1.449390   \n",
       "4478                   -0.138618         0.685605                 1.449390   \n",
       "4479                   -0.138618         0.685605                 1.449390   \n",
       "\n",
       "      country_id  \n",
       "0           32.0  \n",
       "1           32.0  \n",
       "2           32.0  \n",
       "3           32.0  \n",
       "4           32.0  \n",
       "...          ...  \n",
       "4475       199.0  \n",
       "4476       199.0  \n",
       "4477       199.0  \n",
       "4478       199.0  \n",
       "4479       199.0  \n",
       "\n",
       "[4480 rows x 46 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## downloading cvs of created data\n",
    "import pandas as pd\n",
    "\n",
    "train_df = pd.read_csv('train.csv', sep=',')\n",
    "val_df = pd.read_csv('dev.csv', sep=',')\n",
    "test_df = pd.read_csv('test.csv', sep=',')\n",
    "train_df.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "val_df.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "test_df.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "display(train_df)\n",
    "display(val_df)\n",
    "display(test_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating DFs from Features Selected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['date', 'hosp_patients_per_million', 'aged_70_older', 'new_tests', 'new_deaths_smoothed', 'weekly_hosp_admissions_per_million', 'new_tests_smoothed', 'aged_65_older', 'total_deaths', 'new_cases_smoothed', 'new_tests_smoothed_per_thousand', 'new_cases', 'life_expectancy', 'hosp_patients', 'human_development_index', 'new_tests_per_thousand', 'country_id']\n"
     ]
    },
    {
     "data": {
      "text/html": [
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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>hosp_patients_per_million</th>\n",
       "      <th>aged_70_older</th>\n",
       "      <th>new_tests</th>\n",
       "      <th>new_deaths_smoothed</th>\n",
       "      <th>weekly_hosp_admissions_per_million</th>\n",
       "      <th>new_tests_smoothed</th>\n",
       "      <th>aged_65_older</th>\n",
       "      <th>total_deaths</th>\n",
       "      <th>new_cases_smoothed</th>\n",
       "      <th>new_tests_smoothed_per_thousand</th>\n",
       "      <th>new_cases</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>hosp_patients</th>\n",
       "      <th>human_development_index</th>\n",
       "      <th>new_tests_per_thousand</th>\n",
       "      <th>country_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.585008e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.422345</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>0.659801</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.199902</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.196817</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.585094e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.422345</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>0.659801</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.199757</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.197407</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.585181e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.422345</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>0.659801</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.199698</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.197997</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.585267e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.422345</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>0.659801</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.199495</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.196620</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.585354e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.422345</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>0.659801</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.199495</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>0.334627</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>0.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32798</th>\n",
       "      <td>1.603930e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.938850</td>\n",
       "      <td>-0.445830</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>-0.440669</td>\n",
       "      <td>-1.044986</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.197138</td>\n",
       "      <td>-0.953183</td>\n",
       "      <td>-0.197407</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>-0.990080</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32799</th>\n",
       "      <td>1.604016e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.938850</td>\n",
       "      <td>-0.449607</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>-0.440969</td>\n",
       "      <td>-1.044986</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.197080</td>\n",
       "      <td>-0.954331</td>\n",
       "      <td>-0.192687</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>-1.009282</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32800</th>\n",
       "      <td>1.604102e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.938850</td>\n",
       "      <td>-0.453350</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>-0.440836</td>\n",
       "      <td>-1.044986</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.197138</td>\n",
       "      <td>-0.954331</td>\n",
       "      <td>-0.195833</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>-1.027283</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32801</th>\n",
       "      <td>1.604189e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.938850</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-1.044986</td>\n",
       "      <td>-0.268163</td>\n",
       "      <td>-0.197487</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32802</th>\n",
       "      <td>1.604275e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.938850</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.231169</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-1.044986</td>\n",
       "      <td>-0.268074</td>\n",
       "      <td>-0.197342</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.196030</td>\n",
       "      <td>-1.686571</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-1.290717</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>32803 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               date  hosp_patients_per_million  aged_70_older  new_tests  \\\n",
       "0      1.585008e+09                   0.005513       0.422345   0.003034   \n",
       "1      1.585094e+09                   0.005513       0.422345   0.003034   \n",
       "2      1.585181e+09                   0.005513       0.422345   0.003034   \n",
       "3      1.585267e+09                   0.005513       0.422345   0.003034   \n",
       "4      1.585354e+09                   0.005513       0.422345   0.003034   \n",
       "...             ...                        ...            ...        ...   \n",
       "32798  1.603930e+09                   0.005513      -0.938850  -0.445830   \n",
       "32799  1.604016e+09                   0.005513      -0.938850  -0.449607   \n",
       "32800  1.604102e+09                   0.005513      -0.938850  -0.453350   \n",
       "32801  1.604189e+09                   0.005513      -0.938850   0.003034   \n",
       "32802  1.604275e+09                   0.005513      -0.938850   0.003034   \n",
       "\n",
       "       new_deaths_smoothed  weekly_hosp_admissions_per_million  \\\n",
       "0                -0.239105                           -0.004327   \n",
       "1                -0.239105                           -0.004327   \n",
       "2                -0.239105                           -0.004327   \n",
       "3                -0.239105                           -0.004327   \n",
       "4                -0.239105                           -0.004327   \n",
       "...                    ...                                 ...   \n",
       "32798            -0.231169                           -0.004327   \n",
       "32799            -0.231169                           -0.004327   \n",
       "32800            -0.231169                           -0.004327   \n",
       "32801            -0.231169                           -0.004327   \n",
       "32802            -0.231169                           -0.004327   \n",
       "\n",
       "       new_tests_smoothed  aged_65_older  total_deaths  new_cases_smoothed  \\\n",
       "0                0.007052       0.659801      0.007391           -0.199902   \n",
       "1                0.007052       0.659801      0.007391           -0.199757   \n",
       "2                0.007052       0.659801      0.007391           -0.199698   \n",
       "3                0.007052       0.659801      0.007391           -0.199495   \n",
       "4                0.007052       0.659801      0.007391           -0.199495   \n",
       "...                   ...            ...           ...                 ...   \n",
       "32798           -0.440669      -1.044986     -0.268163           -0.197138   \n",
       "32799           -0.440969      -1.044986     -0.268163           -0.197080   \n",
       "32800           -0.440836      -1.044986     -0.268163           -0.197138   \n",
       "32801            0.007052      -1.044986     -0.268163           -0.197487   \n",
       "32802            0.007052      -1.044986     -0.268074           -0.197342   \n",
       "\n",
       "       new_tests_smoothed_per_thousand  new_cases  life_expectancy  \\\n",
       "0                             0.011278  -0.196817         0.334627   \n",
       "1                             0.011278  -0.197407         0.334627   \n",
       "2                             0.011278  -0.197997         0.334627   \n",
       "3                             0.011278  -0.196620         0.334627   \n",
       "4                             0.011278  -0.198390         0.334627   \n",
       "...                                ...        ...              ...   \n",
       "32798                        -0.953183  -0.197407        -1.686571   \n",
       "32799                        -0.954331  -0.192687        -1.686571   \n",
       "32800                        -0.954331  -0.195833        -1.686571   \n",
       "32801                         0.011278  -0.198390        -1.686571   \n",
       "32802                         0.011278  -0.196030        -1.686571   \n",
       "\n",
       "       hosp_patients  human_development_index  new_tests_per_thousand  \\\n",
       "0          -0.020924                -0.050679                0.014813   \n",
       "1          -0.020924                -0.050679                0.014813   \n",
       "2          -0.020924                -0.050679                0.014813   \n",
       "3          -0.020924                -0.050679                0.014813   \n",
       "4          -0.020924                -0.050679                0.014813   \n",
       "...              ...                      ...                     ...   \n",
       "32798      -0.020924                -1.290717               -0.990080   \n",
       "32799      -0.020924                -1.290717               -1.009282   \n",
       "32800      -0.020924                -1.290717               -1.027283   \n",
       "32801      -0.020924                -1.290717                0.014813   \n",
       "32802      -0.020924                -1.290717                0.014813   \n",
       "\n",
       "       country_id  \n",
       "0             0.0  \n",
       "1             0.0  \n",
       "2             0.0  \n",
       "3             0.0  \n",
       "4             0.0  \n",
       "...           ...  \n",
       "32798       212.0  \n",
       "32799       212.0  \n",
       "32800       212.0  \n",
       "32801       212.0  \n",
       "32802       212.0  \n",
       "\n",
       "[32803 rows x 17 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>hosp_patients_per_million</th>\n",
       "      <th>aged_70_older</th>\n",
       "      <th>new_tests</th>\n",
       "      <th>new_deaths_smoothed</th>\n",
       "      <th>weekly_hosp_admissions_per_million</th>\n",
       "      <th>new_tests_smoothed</th>\n",
       "      <th>aged_65_older</th>\n",
       "      <th>total_deaths</th>\n",
       "      <th>new_cases_smoothed</th>\n",
       "      <th>new_tests_smoothed_per_thousand</th>\n",
       "      <th>new_cases</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>hosp_patients</th>\n",
       "      <th>human_development_index</th>\n",
       "      <th>new_tests_per_thousand</th>\n",
       "      <th>country_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.585008e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.196731</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.194457</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.585094e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.195829</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.192294</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.585181e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.196266</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.193670</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.585267e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.235132</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>-0.289542</td>\n",
       "      <td>-0.195858</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.191310</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.585354e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.235132</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>-0.289542</td>\n",
       "      <td>-0.194607</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.189934</td>\n",
       "      <td>1.350689</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>0.984488</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>5.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9316</th>\n",
       "      <td>1.603930e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.217937</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>-0.229609</td>\n",
       "      <td>-0.160540</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.143129</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9317</th>\n",
       "      <td>1.604016e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.216613</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>-0.229519</td>\n",
       "      <td>-0.156904</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.142539</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9318</th>\n",
       "      <td>1.604102e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.213974</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>-0.229161</td>\n",
       "      <td>-0.149659</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.116187</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9319</th>\n",
       "      <td>1.604189e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.212649</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>-0.228893</td>\n",
       "      <td>-0.139535</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.097307</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9320</th>\n",
       "      <td>1.604275e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.039382</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.206038</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.045709</td>\n",
       "      <td>-0.228267</td>\n",
       "      <td>-0.135142</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.132116</td>\n",
       "      <td>-0.042196</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.050679</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>208.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9321 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  hosp_patients_per_million  aged_70_older  new_tests  \\\n",
       "0     1.585008e+09                   0.005513      -0.039382   0.003034   \n",
       "1     1.585094e+09                   0.005513      -0.039382   0.003034   \n",
       "2     1.585181e+09                   0.005513      -0.039382   0.003034   \n",
       "3     1.585267e+09                   0.005513      -0.039382   0.003034   \n",
       "4     1.585354e+09                   0.005513      -0.039382   0.003034   \n",
       "...            ...                        ...            ...        ...   \n",
       "9316  1.603930e+09                   0.005513      -0.039382   0.003034   \n",
       "9317  1.604016e+09                   0.005513      -0.039382   0.003034   \n",
       "9318  1.604102e+09                   0.005513      -0.039382   0.003034   \n",
       "9319  1.604189e+09                   0.005513      -0.039382   0.003034   \n",
       "9320  1.604275e+09                   0.005513      -0.039382   0.003034   \n",
       "\n",
       "      new_deaths_smoothed  weekly_hosp_admissions_per_million  \\\n",
       "0               -0.239105                           -0.004327   \n",
       "1               -0.239105                           -0.004327   \n",
       "2               -0.239105                           -0.004327   \n",
       "3               -0.235132                           -0.004327   \n",
       "4               -0.235132                           -0.004327   \n",
       "...                   ...                                 ...   \n",
       "9316            -0.217937                           -0.004327   \n",
       "9317            -0.216613                           -0.004327   \n",
       "9318            -0.213974                           -0.004327   \n",
       "9319            -0.212649                           -0.004327   \n",
       "9320            -0.206038                           -0.004327   \n",
       "\n",
       "      new_tests_smoothed  aged_65_older  total_deaths  new_cases_smoothed  \\\n",
       "0               0.007052      -0.045709      0.007391           -0.196731   \n",
       "1               0.007052      -0.045709      0.007391           -0.195829   \n",
       "2               0.007052      -0.045709      0.007391           -0.196266   \n",
       "3               0.007052      -0.045709     -0.289542           -0.195858   \n",
       "4               0.007052      -0.045709     -0.289542           -0.194607   \n",
       "...                  ...            ...           ...                 ...   \n",
       "9316            0.007052      -0.045709     -0.229609           -0.160540   \n",
       "9317            0.007052      -0.045709     -0.229519           -0.156904   \n",
       "9318            0.007052      -0.045709     -0.229161           -0.149659   \n",
       "9319            0.007052      -0.045709     -0.228893           -0.139535   \n",
       "9320            0.007052      -0.045709     -0.228267           -0.135142   \n",
       "\n",
       "      new_tests_smoothed_per_thousand  new_cases  life_expectancy  \\\n",
       "0                            0.011278  -0.194457         1.350689   \n",
       "1                            0.011278  -0.192294         1.350689   \n",
       "2                            0.011278  -0.193670         1.350689   \n",
       "3                            0.011278  -0.191310         1.350689   \n",
       "4                            0.011278  -0.189934         1.350689   \n",
       "...                               ...        ...              ...   \n",
       "9316                         0.011278  -0.143129        -0.042196   \n",
       "9317                         0.011278  -0.142539        -0.042196   \n",
       "9318                         0.011278  -0.116187        -0.042196   \n",
       "9319                         0.011278  -0.097307        -0.042196   \n",
       "9320                         0.011278  -0.132116        -0.042196   \n",
       "\n",
       "      hosp_patients  human_development_index  new_tests_per_thousand  \\\n",
       "0         -0.020924                 0.984488                0.014813   \n",
       "1         -0.020924                 0.984488                0.014813   \n",
       "2         -0.020924                 0.984488                0.014813   \n",
       "3         -0.020924                 0.984488                0.014813   \n",
       "4         -0.020924                 0.984488                0.014813   \n",
       "...             ...                      ...                     ...   \n",
       "9316      -0.020924                -0.050679                0.014813   \n",
       "9317      -0.020924                -0.050679                0.014813   \n",
       "9318      -0.020924                -0.050679                0.014813   \n",
       "9319      -0.020924                -0.050679                0.014813   \n",
       "9320      -0.020924                -0.050679                0.014813   \n",
       "\n",
       "      country_id  \n",
       "0            5.0  \n",
       "1            5.0  \n",
       "2            5.0  \n",
       "3            5.0  \n",
       "4            5.0  \n",
       "...          ...  \n",
       "9316       208.0  \n",
       "9317       208.0  \n",
       "9318       208.0  \n",
       "9319       208.0  \n",
       "9320       208.0  \n",
       "\n",
       "[9321 rows x 17 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>hosp_patients_per_million</th>\n",
       "      <th>aged_70_older</th>\n",
       "      <th>new_tests</th>\n",
       "      <th>new_deaths_smoothed</th>\n",
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       "      <th>new_tests_smoothed</th>\n",
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       "      <th>new_cases_smoothed</th>\n",
       "      <th>new_tests_smoothed_per_thousand</th>\n",
       "      <th>new_cases</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>hosp_patients</th>\n",
       "      <th>human_development_index</th>\n",
       "      <th>new_tests_per_thousand</th>\n",
       "      <th>country_id</th>\n",
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       "      <th>0</th>\n",
       "      <td>1.585008e+09</td>\n",
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       "      <td>0.011278</td>\n",
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       "      <td>-0.020924</td>\n",
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       "      <td>0.014813</td>\n",
       "      <td>32.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.585094e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.848673</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.906616</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.200106</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-0.020924</td>\n",
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       "      <td>0.014813</td>\n",
       "      <td>32.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.585181e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.848673</td>\n",
       "      <td>0.003034</td>\n",
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       "      <td>-0.200106</td>\n",
       "      <td>0.011278</td>\n",
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       "      <td>-2.807790</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.585267e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.848673</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.906616</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.200077</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.198193</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>32.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.585354e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>-0.848673</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>-0.239105</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>-0.906616</td>\n",
       "      <td>0.007391</td>\n",
       "      <td>-0.200077</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>-0.198390</td>\n",
       "      <td>-2.807790</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-2.474105</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>32.0</td>\n",
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       "      <th>4475</th>\n",
       "      <td>1.603930e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.979530</td>\n",
       "      <td>16.324002</td>\n",
       "      <td>7.035128</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>17.615577</td>\n",
       "      <td>1.046505</td>\n",
       "      <td>20.078669</td>\n",
       "      <td>14.978587</td>\n",
       "      <td>2.744185</td>\n",
       "      <td>15.213958</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>2.656997</td>\n",
       "      <td>199.0</td>\n",
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       "    <tr>\n",
       "      <th>4476</th>\n",
       "      <td>1.604016e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.979530</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>7.203128</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>1.046505</td>\n",
       "      <td>20.165259</td>\n",
       "      <td>15.446161</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>17.133152</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4477</th>\n",
       "      <td>1.604102e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.979530</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>7.318218</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>1.046505</td>\n",
       "      <td>20.258291</td>\n",
       "      <td>15.910012</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>19.717838</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4478</th>\n",
       "      <td>1.604189e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.979530</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>7.244140</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>1.046505</td>\n",
       "      <td>20.334147</td>\n",
       "      <td>15.790093</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>15.324677</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4479</th>\n",
       "      <td>1.604275e+09</td>\n",
       "      <td>0.005513</td>\n",
       "      <td>0.979530</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>7.388324</td>\n",
       "      <td>-0.004327</td>\n",
       "      <td>0.007052</td>\n",
       "      <td>1.046505</td>\n",
       "      <td>20.373506</td>\n",
       "      <td>16.417356</td>\n",
       "      <td>0.011278</td>\n",
       "      <td>15.731171</td>\n",
       "      <td>0.685605</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>1.449390</td>\n",
       "      <td>0.014813</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4480 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  hosp_patients_per_million  aged_70_older  new_tests  \\\n",
       "0     1.585008e+09                   0.005513      -0.848673   0.003034   \n",
       "1     1.585094e+09                   0.005513      -0.848673   0.003034   \n",
       "2     1.585181e+09                   0.005513      -0.848673   0.003034   \n",
       "3     1.585267e+09                   0.005513      -0.848673   0.003034   \n",
       "4     1.585354e+09                   0.005513      -0.848673   0.003034   \n",
       "...            ...                        ...            ...        ...   \n",
       "4475  1.603930e+09                   0.005513       0.979530  16.324002   \n",
       "4476  1.604016e+09                   0.005513       0.979530   0.003034   \n",
       "4477  1.604102e+09                   0.005513       0.979530   0.003034   \n",
       "4478  1.604189e+09                   0.005513       0.979530   0.003034   \n",
       "4479  1.604275e+09                   0.005513       0.979530   0.003034   \n",
       "\n",
       "      new_deaths_smoothed  weekly_hosp_admissions_per_million  \\\n",
       "0               -0.239105                           -0.004327   \n",
       "1               -0.239105                           -0.004327   \n",
       "2               -0.239105                           -0.004327   \n",
       "3               -0.239105                           -0.004327   \n",
       "4               -0.239105                           -0.004327   \n",
       "...                   ...                                 ...   \n",
       "4475             7.035128                           -0.004327   \n",
       "4476             7.203128                           -0.004327   \n",
       "4477             7.318218                           -0.004327   \n",
       "4478             7.244140                           -0.004327   \n",
       "4479             7.388324                           -0.004327   \n",
       "\n",
       "      new_tests_smoothed  aged_65_older  total_deaths  new_cases_smoothed  \\\n",
       "0               0.007052      -0.906616      0.007391           -0.200106   \n",
       "1               0.007052      -0.906616      0.007391           -0.200106   \n",
       "2               0.007052      -0.906616      0.007391           -0.200106   \n",
       "3               0.007052      -0.906616      0.007391           -0.200077   \n",
       "4               0.007052      -0.906616      0.007391           -0.200077   \n",
       "...                  ...            ...           ...                 ...   \n",
       "4475           17.615577       1.046505     20.078669           14.978587   \n",
       "4476            0.007052       1.046505     20.165259           15.446161   \n",
       "4477            0.007052       1.046505     20.258291           15.910012   \n",
       "4478            0.007052       1.046505     20.334147           15.790093   \n",
       "4479            0.007052       1.046505     20.373506           16.417356   \n",
       "\n",
       "      new_tests_smoothed_per_thousand  new_cases  life_expectancy  \\\n",
       "0                            0.011278  -0.198390        -2.807790   \n",
       "1                            0.011278  -0.198390        -2.807790   \n",
       "2                            0.011278  -0.198390        -2.807790   \n",
       "3                            0.011278  -0.198193        -2.807790   \n",
       "4                            0.011278  -0.198390        -2.807790   \n",
       "...                               ...        ...              ...   \n",
       "4475                         2.744185  15.213958         0.685605   \n",
       "4476                         0.011278  17.133152         0.685605   \n",
       "4477                         0.011278  19.717838         0.685605   \n",
       "4478                         0.011278  15.324677         0.685605   \n",
       "4479                         0.011278  15.731171         0.685605   \n",
       "\n",
       "      hosp_patients  human_development_index  new_tests_per_thousand  \\\n",
       "0         -0.020924                -2.474105                0.014813   \n",
       "1         -0.020924                -2.474105                0.014813   \n",
       "2         -0.020924                -2.474105                0.014813   \n",
       "3         -0.020924                -2.474105                0.014813   \n",
       "4         -0.020924                -2.474105                0.014813   \n",
       "...             ...                      ...                     ...   \n",
       "4475      -0.020924                 1.449390                2.656997   \n",
       "4476      -0.020924                 1.449390                0.014813   \n",
       "4477      -0.020924                 1.449390                0.014813   \n",
       "4478      -0.020924                 1.449390                0.014813   \n",
       "4479      -0.020924                 1.449390                0.014813   \n",
       "\n",
       "      country_id  \n",
       "0           32.0  \n",
       "1           32.0  \n",
       "2           32.0  \n",
       "3           32.0  \n",
       "4           32.0  \n",
       "...          ...  \n",
       "4475       199.0  \n",
       "4476       199.0  \n",
       "4477       199.0  \n",
       "4478       199.0  \n",
       "4479       199.0  \n",
       "\n",
       "[4480 rows x 17 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set up features to be selected and create the new dataframes\n",
    "features = ['hosp_patients_per_million', 'aged_70_older', 'new_tests', 'new_deaths_smoothed', 'weekly_hosp_admissions_per_million', 'new_tests_smoothed', 'aged_65_older', 'total_deaths', 'new_cases_smoothed', 'new_tests_smoothed_per_thousand', 'new_cases', 'life_expectancy', 'hosp_patients', 'human_development_index', 'new_tests_per_thousand']\n",
    "feats_with_date_id = ['date'] + features + ['country_id']\n",
    "print(feats_with_date_id)\n",
    "\n",
    "train_df = train_df[feats_with_date_id]\n",
    "val_df = val_df[feats_with_date_id]\n",
    "test_df = test_df[feats_with_date_id]\n",
    "display(train_df)\n",
    "display(val_df)\n",
    "display(test_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Partition train into window data and labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "NUM_COUNTRIES_TEST = 21\n",
    "WINDOW_SIZE = 30\n",
    "WEEK = 7\n",
    "OUTPUT_DAYS = 14\n",
    "NUM_FEATURES = len(features)\n",
    "NUM_OUTPUT = OUTPUT_DAYS * NUM_FEATURES\n",
    "#figure out how to split the data\n",
    "X = np.zeros((NUM_COUNTRIES_TEST, WINDOW_SIZE, NUM_FEATURES))\n",
    "y = np.zeros((NUM_COUNTRIES_TEST, OUTPUT_DAYS, NUM_FEATURES))\n",
    "\n",
    "all_country_windows = list()\n",
    "all_country_labels = list()\n",
    "train_data = 0\n",
    "train_labels = 0\n",
    "for country, records in train_df.groupby('country_id'):\n",
    "    records_array = records.to_numpy()\n",
    "    length = len(records_array)\n",
    "    # how many windows can we get from a given number of records\n",
    "    num_windows = length - (WINDOW_SIZE + OUTPUT_DAYS) + 1\n",
    "    if (num_windows < 1):\n",
    "        continue\n",
    "    country_windows = np.zeros((num_windows, WINDOW_SIZE, NUM_FEATURES))\n",
    "    country_labels = np.zeros((num_windows, NUM_OUTPUT))\n",
    "    index = 0\n",
    "    for i in range(length):\n",
    "        end_index = i + WINDOW_SIZE\n",
    "        follow_week_index = end_index + OUTPUT_DAYS\n",
    "        if follow_week_index > length:\n",
    "            break\n",
    "        country_windows[index, :, :], temp_label = records_array[i:end_index, 1:-1], records_array[end_index:follow_week_index, 1:-1]\n",
    "        #of the dimension week x feature, need it to be dimension 1xweek*feature\n",
    "        temp_label = temp_label.reshape((1, NUM_OUTPUT))\n",
    "        country_labels[index, :] = temp_label\n",
    "        index += 1\n",
    "    if type(train_data) == type(0):\n",
    "        train_data = country_windows\n",
    "        train_labels = country_labels\n",
    "    else:\n",
    "        train_data = np.concatenate((train_data, country_windows), axis=0)\n",
    "        train_labels = np.concatenate((train_labels, country_labels), axis=0)\n",
    "    all_country_windows.append(country_windows)\n",
    "    all_country_labels.append(country_labels)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Partition validation data into windows and labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_country_windows = list()\n",
    "val_country_labels = list()\n",
    "val_data = 0\n",
    "val_labels = 0\n",
    "for country, records in val_df.groupby('country_id'):\n",
    "    records_array = records.to_numpy()\n",
    "    length = len(records_array)\n",
    "    # how many windows can we get from a given number of records\n",
    "    num_windows = length - (WINDOW_SIZE + OUTPUT_DAYS) + 1\n",
    "    if (num_windows < 1):\n",
    "        continue\n",
    "    country_windows = np.zeros((num_windows, WINDOW_SIZE, NUM_FEATURES))\n",
    "    country_labels = np.zeros((num_windows, NUM_OUTPUT))\n",
    "    index = 0\n",
    "    for i in range(length):\n",
    "        end_index = i + WINDOW_SIZE\n",
    "        follow_week_index = end_index + OUTPUT_DAYS\n",
    "        if follow_week_index > length:\n",
    "            break\n",
    "        country_windows[index, :, :], temp_label = records_array[i:end_index, 1:-1], records_array[end_index:follow_week_index, 1:-1]\n",
    "        #of the dimension week x feature, need it to be dimension 1xweek*feature\n",
    "        temp_label = temp_label.reshape((1, NUM_OUTPUT))\n",
    "        country_labels[index, :] = temp_label\n",
    "        index += 1\n",
    "        single_val_data = country_windows\n",
    "        single_val_labels = country_windows    \n",
    "    if type(val_data) == type(0):\n",
    "        val_data = country_windows\n",
    "        val_labels = country_labels\n",
    "    else:\n",
    "        val_data = np.concatenate((val_data, country_windows), axis=0)\n",
    "        val_labels = np.concatenate((val_labels, country_labels), axis=0)\n",
    "    val_country_windows.append(country_windows)\n",
    "    val_country_labels.append(country_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Partition test data into final window and final label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this will be used to get the last month and additional week from all the test countries\n",
    "test_country_windows = list()\n",
    "test_country_labels = list()\n",
    "count = 0\n",
    "for country, records in test_df.groupby('country_id'):\n",
    "    count +=1\n",
    "    records_array = records.to_numpy()\n",
    "    length = len(records_array)\n",
    "    # how many windows can we get from a given number of records\n",
    "    num_windows = length - (WINDOW_SIZE + OUTPUT_DAYS) + 1\n",
    "    if (num_windows < 1):\n",
    "        continue\n",
    "    country_window = np.zeros((1, WINDOW_SIZE, NUM_FEATURES))\n",
    "    country_label = np.zeros((1, NUM_OUTPUT))\n",
    "    for i in range(length):\n",
    "        end_index = i + WINDOW_SIZE\n",
    "        follow_week_index = end_index + OUTPUT_DAYS\n",
    "        if follow_week_index > length:\n",
    "            break\n",
    "        country_window[0, :, :], temp_label = records_array[i:end_index, 1:-1], records_array[end_index:follow_week_index, 1:-1]\n",
    "        #of the dimension week x feature, need it to be dimension 1xweek*feature\n",
    "        temp_label = temp_label.reshape((1, NUM_OUTPUT))\n",
    "        country_label[0, :] = temp_label\n",
    "        index += 1\n",
    "    test_country_windows.append(country_windows)\n",
    "    test_country_labels.append(country_labels)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compiling the validation and training data into a large matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7497, 30, 15)\n",
      "(7497, 210)\n",
      "(26423, 30, 15)\n",
      "(26423, 210)\n"
     ]
    }
   ],
   "source": [
    "print(val_data.shape)\n",
    "print(val_labels.shape)\n",
    "print(train_data.shape)\n",
    "print(train_labels.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the CNN Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.layers import Flatten\n",
    "from keras.layers.convolutional import Conv1D\n",
    "from keras.layers.convolutional import MaxPooling1D\n",
    "from keras.regularizers import l2\n",
    "from keras.regularizers import l1\n",
    "from keras.regularizers import l1_l2\n",
    "from keras.callbacks import EarlyStopping\n",
    "\n",
    "callback = EarlyStopping(monitor=\"loss\", patience=2)\n",
    "\n",
    "\n",
    "#build cnn model where all countries are passed through the same first couple filters\n",
    "cnn_model = Sequential()\n",
    "cnn_model.add(Conv1D(filters=64, kernel_size=2, activation='relu', input_shape=(WINDOW_SIZE, NUM_FEATURES), kernel_regularizer=l2(.02)))\n",
    "cnn_model.add(MaxPooling1D(pool_size=2))\n",
    "cnn_model.add(Flatten())\n",
    "cnn_model.add(Dense(300, activation='relu', kernel_regularizer=l2(.02)))\n",
    "cnn_model.add(Dense(NUM_OUTPUT))\n",
    "cnn_model.compile(optimizer='adam', loss='mean_squared_error', metrics=['mean_absolute_error']) \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the Second CNN Model Structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.layers.merge import concatenate\n",
    "from keras.layers import Input\n",
    "from keras.models import Model\n",
    "\n",
    "#build the cnn model where each feature is is paritally filtered independently\n",
    "def individ_cnn():\n",
    "    in_data = Input(shape=(WINDOW_SIZE, 1))\n",
    "    cnn = Conv1D(filters=64, kernel_size=2, activation='relu', kernel_regularizer=l2(.02))(in_data)\n",
    "    cnn = MaxPooling1D(pool_size=2)(cnn)\n",
    "    cnn = Flatten()(cnn)\n",
    "    return cnn, in_data\n",
    "\n",
    "feature_cnns = list()\n",
    "in_list = list()\n",
    "for i in range(NUM_FEATURES):\n",
    "    temp_cnn, temp_in = individ_cnn()\n",
    "    feature_cnns.append(temp_cnn)\n",
    "    in_list.append(temp_in)\n",
    "\n",
    "concat = concatenate(feature_cnns)\n",
    "dense = Dense(300, activation='relu', kernel_regularizer=l2(.02))(concat)\n",
    "out = Dense(NUM_OUTPUT)(dense)\n",
    "\n",
    "second_cnn_model = Model(inputs=in_list, outputs=out)\n",
    "second_cnn_model.compile(optimizer='adam', loss='mean_squared_error', metrics=['mean_absolute_error']) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train the first model type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "826/826 [==============================] - 5s 6ms/step - loss: 0.6552 - mean_absolute_error: 0.1856 - val_loss: 0.2418 - val_mean_absolute_error: 0.1363\n",
      "Epoch 2/50\n",
      "826/826 [==============================] - 5s 6ms/step - loss: 0.2510 - mean_absolute_error: 0.1586 - val_loss: 0.2390 - val_mean_absolute_error: 0.1439\n",
      "Epoch 3/50\n",
      "826/826 [==============================] - 9s 11ms/step - loss: 0.2254 - mean_absolute_error: 0.1453 - val_loss: 0.2197 - val_mean_absolute_error: 0.1309\n",
      "Epoch 4/50\n",
      "826/826 [==============================] - 7s 8ms/step - loss: 0.2215 - mean_absolute_error: 0.1413 - val_loss: 0.2381 - val_mean_absolute_error: 0.1283\n",
      "Epoch 5/50\n",
      "826/826 [==============================] - 6s 7ms/step - loss: 0.2006 - mean_absolute_error: 0.1303 - val_loss: 0.1952 - val_mean_absolute_error: 0.1176\n",
      "Epoch 6/50\n",
      "826/826 [==============================] - 5s 6ms/step - loss: 0.1943 - mean_absolute_error: 0.1261 - val_loss: 0.1848 - val_mean_absolute_error: 0.1071\n",
      "Epoch 7/50\n",
      "826/826 [==============================] - 5s 6ms/step - loss: 0.1893 - mean_absolute_error: 0.1244 - val_loss: 0.1947 - val_mean_absolute_error: 0.1302\n",
      "Epoch 8/50\n",
      "826/826 [==============================] - 6s 8ms/step - loss: 0.1900 - mean_absolute_error: 0.1231 - val_loss: 0.1755 - val_mean_absolute_error: 0.1019\n",
      "Epoch 9/50\n",
      "826/826 [==============================] - 5s 6ms/step - loss: 0.1812 - mean_absolute_error: 0.1204 - val_loss: 0.1812 - val_mean_absolute_error: 0.0955\n",
      "Epoch 10/50\n",
      "826/826 [==============================] - 6s 7ms/step - loss: 0.1801 - mean_absolute_error: 0.1254 - val_loss: 0.1786 - val_mean_absolute_error: 0.1106\n",
      "Epoch 11/50\n",
      "826/826 [==============================] - 6s 7ms/step - loss: 0.1782 - mean_absolute_error: 0.1216 - val_loss: 0.1835 - val_mean_absolute_error: 0.1097\n",
      "Epoch 12/50\n",
      "826/826 [==============================] - 6s 7ms/step - loss: 0.1718 - mean_absolute_error: 0.1152 - val_loss: 0.1777 - val_mean_absolute_error: 0.1065\n",
      "Epoch 13/50\n",
      "826/826 [==============================] - 6s 7ms/step - loss: 0.1695 - mean_absolute_error: 0.1150 - val_loss: 0.1783 - val_mean_absolute_error: 0.1143\n",
      "Epoch 14/50\n",
      "826/826 [==============================] - 7s 8ms/step - loss: 0.1804 - mean_absolute_error: 0.1228 - val_loss: 0.1801 - val_mean_absolute_error: 0.1186\n",
      "Epoch 15/50\n",
      "826/826 [==============================] - 6s 7ms/step - loss: 0.1673 - mean_absolute_error: 0.1159 - val_loss: 0.1776 - val_mean_absolute_error: 0.0970\n",
      "Epoch 16/50\n",
      "826/826 [==============================] - 5s 7ms/step - loss: 0.1666 - mean_absolute_error: 0.1138 - val_loss: 0.2025 - val_mean_absolute_error: 0.1226\n",
      "Epoch 17/50\n",
      "826/826 [==============================] - 5s 6ms/step - loss: 0.1629 - mean_absolute_error: 0.1122 - val_loss: 0.1674 - val_mean_absolute_error: 0.0958\n",
      "Epoch 18/50\n",
      "826/826 [==============================] - 5s 6ms/step - loss: 0.1778 - mean_absolute_error: 0.1196 - val_loss: 0.1726 - val_mean_absolute_error: 0.1042\n",
      "Epoch 19/50\n",
      "826/826 [==============================] - 8s 10ms/step - loss: 0.1639 - mean_absolute_error: 0.1103 - val_loss: 0.1662 - val_mean_absolute_error: 0.1032\n"
     ]
    }
   ],
   "source": [
    "history_one = cnn_model.fit(train_data, train_labels, validation_data=(val_data, val_labels), verbose=1, epochs=50, callbacks=[callback])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train the second model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "826/826 [==============================] - 59s 71ms/step - loss: 0.5423 - mean_absolute_error: 0.2003 - val_loss: 0.2666 - val_mean_absolute_error: 0.1695\n",
      "Epoch 2/100\n",
      "826/826 [==============================] - 57s 68ms/step - loss: 0.2663 - mean_absolute_error: 0.1586 - val_loss: 0.2291 - val_mean_absolute_error: 0.1195\n",
      "Epoch 3/100\n",
      "826/826 [==============================] - 70s 85ms/step - loss: 0.2488 - mean_absolute_error: 0.1473 - val_loss: 0.2293 - val_mean_absolute_error: 0.1319\n",
      "Epoch 4/100\n",
      "826/826 [==============================] - 81s 98ms/step - loss: 0.2212 - mean_absolute_error: 0.1339 - val_loss: 0.2056 - val_mean_absolute_error: 0.1172\n",
      "Epoch 5/100\n",
      "826/826 [==============================] - 96s 116ms/step - loss: 0.2152 - mean_absolute_error: 0.1303 - val_loss: 0.2055 - val_mean_absolute_error: 0.1083\n",
      "Epoch 6/100\n",
      "826/826 [==============================] - 91s 111ms/step - loss: 0.1989 - mean_absolute_error: 0.1239 - val_loss: 0.1900 - val_mean_absolute_error: 0.1024\n",
      "Epoch 7/100\n",
      "826/826 [==============================] - 91s 110ms/step - loss: 0.1920 - mean_absolute_error: 0.1207 - val_loss: 0.1965 - val_mean_absolute_error: 0.0985\n",
      "Epoch 8/100\n",
      "826/826 [==============================] - 112s 136ms/step - loss: 0.1858 - mean_absolute_error: 0.1193 - val_loss: 0.1921 - val_mean_absolute_error: 0.0910\n",
      "Epoch 9/100\n",
      "826/826 [==============================] - 120s 146ms/step - loss: 0.1811 - mean_absolute_error: 0.1154 - val_loss: 0.1814 - val_mean_absolute_error: 0.1051\n",
      "Epoch 10/100\n",
      "826/826 [==============================] - 139s 169ms/step - loss: 0.1818 - mean_absolute_error: 0.1165 - val_loss: 0.1706 - val_mean_absolute_error: 0.0849\n",
      "Epoch 11/100\n",
      "826/826 [==============================] - 133s 161ms/step - loss: 0.1768 - mean_absolute_error: 0.1146 - val_loss: 0.1767 - val_mean_absolute_error: 0.1128\n",
      "Epoch 12/100\n",
      "826/826 [==============================] - 119s 144ms/step - loss: 0.1755 - mean_absolute_error: 0.1150 - val_loss: 0.1731 - val_mean_absolute_error: 0.0881\n",
      "Epoch 13/100\n",
      "826/826 [==============================] - 131s 159ms/step - loss: 0.1732 - mean_absolute_error: 0.1136 - val_loss: 0.1738 - val_mean_absolute_error: 0.0978\n",
      "Epoch 14/100\n",
      "826/826 [==============================] - 89s 108ms/step - loss: 0.1705 - mean_absolute_error: 0.1107 - val_loss: 0.1752 - val_mean_absolute_error: 0.1013\n",
      "Epoch 15/100\n",
      "826/826 [==============================] - 65s 78ms/step - loss: 0.1675 - mean_absolute_error: 0.1099 - val_loss: 0.1740 - val_mean_absolute_error: 0.1058\n",
      "Epoch 16/100\n",
      "826/826 [==============================] - 62s 75ms/step - loss: 0.1651 - mean_absolute_error: 0.1093 - val_loss: 0.1708 - val_mean_absolute_error: 0.0868\n",
      "Epoch 17/100\n",
      "826/826 [==============================] - 62s 75ms/step - loss: 0.1671 - mean_absolute_error: 0.1105 - val_loss: 0.1711 - val_mean_absolute_error: 0.1141\n",
      "Epoch 18/100\n",
      "826/826 [==============================] - 62s 75ms/step - loss: 0.1618 - mean_absolute_error: 0.1080 - val_loss: 0.1890 - val_mean_absolute_error: 0.1259\n",
      "Epoch 19/100\n",
      "826/826 [==============================] - 62s 75ms/step - loss: 0.1673 - mean_absolute_error: 0.1092 - val_loss: 0.1676 - val_mean_absolute_error: 0.0933\n",
      "Epoch 20/100\n",
      "826/826 [==============================] - 56s 68ms/step - loss: 0.1602 - mean_absolute_error: 0.1067 - val_loss: 0.1697 - val_mean_absolute_error: 0.0985\n",
      "Epoch 21/100\n",
      "826/826 [==============================] - 64s 78ms/step - loss: 0.1594 - mean_absolute_error: 0.1075 - val_loss: 0.1845 - val_mean_absolute_error: 0.1357\n",
      "Epoch 22/100\n",
      "826/826 [==============================] - 69s 84ms/step - loss: 0.1686 - mean_absolute_error: 0.1083 - val_loss: 0.1767 - val_mean_absolute_error: 0.1187\n",
      "Epoch 23/100\n",
      "826/826 [==============================] - 72s 87ms/step - loss: 0.1586 - mean_absolute_error: 0.1052 - val_loss: 0.1722 - val_mean_absolute_error: 0.1022\n",
      "Epoch 24/100\n",
      "826/826 [==============================] - 81s 99ms/step - loss: 0.1598 - mean_absolute_error: 0.1084 - val_loss: 0.1673 - val_mean_absolute_error: 0.0964\n",
      "Epoch 25/100\n",
      "826/826 [==============================] - 85s 103ms/step - loss: 0.1564 - mean_absolute_error: 0.1050 - val_loss: 0.1719 - val_mean_absolute_error: 0.1139\n",
      "Epoch 26/100\n",
      "826/826 [==============================] - 70s 85ms/step - loss: 0.1558 - mean_absolute_error: 0.1059 - val_loss: 0.1630 - val_mean_absolute_error: 0.1065\n",
      "Epoch 27/100\n",
      "826/826 [==============================] - 70s 85ms/step - loss: 0.1581 - mean_absolute_error: 0.1077 - val_loss: 0.1672 - val_mean_absolute_error: 0.0965\n",
      "Epoch 28/100\n",
      "826/826 [==============================] - 80s 97ms/step - loss: 0.1572 - mean_absolute_error: 0.1061 - val_loss: 0.1775 - val_mean_absolute_error: 0.0990\n"
     ]
    }
   ],
   "source": [
    "def reshape_input(X):\n",
    "    inputs = list()\n",
    "    for i in range(NUM_FEATURES):\n",
    "        Xi = X[:, :, i].reshape((X.shape[0], X.shape[1], 1))\n",
    "        inputs.append(Xi)\n",
    "    return inputs\n",
    "\n",
    "train_inputs = reshape_input(train_data)\n",
    "val_inputs = reshape_input(val_data)\n",
    "\n",
    "history_two = second_cnn_model.fit(train_inputs, train_labels, validation_data=(val_inputs, val_labels), verbose=1, epochs=100, callbacks=[callback])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predict the features of the test data for the first model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n",
      "6/6 [==============================] - 0s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "#we are compiling all of the predicted labels from the test data\n",
    "predicted_labels = list()\n",
    "for country in range(len(test_country_windows)):\n",
    "    pred_label = cnn_model.predict(test_country_windows[country], verbose=1)\n",
    "    predicted_labels.append(pred_label)\n",
    "      "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predict the features of the test data for the second model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 6ms/step\n",
      "6/6 [==============================] - 0s 5ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 17ms/step\n",
      "6/6 [==============================] - 0s 6ms/step\n",
      "6/6 [==============================] - 0s 6ms/step\n",
      "6/6 [==============================] - 0s 6ms/step\n",
      "6/6 [==============================] - 0s 6ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 6ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 14ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 7ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n",
      "6/6 [==============================] - 0s 8ms/step\n"
     ]
    }
   ],
   "source": [
    "#we are compiling all of the predicted labels from the test data\n",
    "second_predicted_labels = list()\n",
    "for country in range(len(test_country_windows)):\n",
    "    predict_inputs = reshape_input(test_country_windows[country])\n",
    "    second_pred_label = second_cnn_model.predict(predict_inputs, verbose=1)\n",
    "    second_predicted_labels.append(second_pred_label)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the predictions of the first model with the real values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x5760 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#here we plot the predictions and the real values for each test country\n",
    "import matplotlib.pyplot as plt\n",
    "x_axis = np.array([1,2,3,4,5,6,7,8, 9, 10, 11, 12, 13, 14])\n",
    "\n",
    "#THESE INDICIES ARE HARD CODED\n",
    "age_seventy_index = 1\n",
    "new_cases_smoothed_index = 8\n",
    "\n",
    "indicies = np.arange(new_cases_smoothed_index, NUM_OUTPUT , NUM_FEATURES)\n",
    "\n",
    "fig, axs = plt.subplots(len(test_country_labels), 1, figsize=(7,80))\n",
    "plt.setp(axs[:], xlabel='Time Step')\n",
    "plt.setp(axs[:], ylabel='Scaled New Cases Smoothed')\n",
    "prev_pred = predicted_labels[0][19][indicies]\n",
    "prev_ex = test_country_labels[0][19][indicies]\n",
    "for i in range(len(axs)):\n",
    "    axs[i].plot(x_axis, predicted_labels[0][i][indicies], c='red', linestyle=':', label='Predicted')\n",
    "    axs[i].plot(x_axis, test_country_labels[0][i][indicies], c='black', linestyle='solid', label='Expected')\n",
    "    axs[i].legend()\n",
    "    assert ~(prev_ex==test_country_labels[0][i][indicies]).all()\n",
    "    assert ~(prev_pred==predicted_labels[0][i][indicies]).all()\n",
    "    prev_pred = predicted_labels[0][i][indicies]\n",
    "    prev_ex = test_country_labels[0][i][indicies]\n",
    " \n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the prediction of the second values against the real values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x5760 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#here we plot the predictions and the real values for each test country\n",
    "\n",
    "fig, axs = plt.subplots(len(test_country_labels), 1, figsize=(7,80))\n",
    "plt.setp(axs[:], xlabel='Time Step')\n",
    "plt.setp(axs[:], ylabel='Scaled New Cases Smoothed')\n",
    "prev_sec_pred = second_predicted_labels[0][19][indicies]\n",
    "prev_ex = test_country_labels[0][19][indicies]\n",
    "for i in range(len(axs)):\n",
    "    axs[i].plot(x_axis, second_predicted_labels[0][i][indicies], c='red', linestyle=':', label='Predicted')\n",
    "    axs[i].plot(x_axis, test_country_labels[0][i][indicies], c='black', linestyle='solid', label='Expected')\n",
    "    axs[i].legend()\n",
    "    assert ~(prev_ex==test_country_labels[0][i][indicies]).all()\n",
    "    assert ~(prev_sec_pred==second_predicted_labels[0][i][indicies]).all()\n",
    "    prev_sec_pred = second_predicted_labels[0][i][indicies]\n",
    "    prev_ex = test_country_labels[0][i][indicies]\n",
    " \n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot model performance for first CNN (train and validation loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# this is used to evaluate the models we've trained\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize=(7,15))\n",
    "plt.title('Model History')\n",
    "plt.setp(axs[:], xlabel='Epoch')\n",
    "plt.setp(axs[0], ylabel='Loss')\n",
    "plt.setp(axs[1], ylabel='MAE')\n",
    "axs[0].plot(history_one.history['loss'])\n",
    "axs[0].plot(history_one.history['val_loss'])\n",
    "axs[0].legend(['train', 'val'])\n",
    "axs[1].plot(history_one.history['mean_absolute_error'])\n",
    "axs[1].plot(history_one.history['val_mean_absolute_error'])\n",
    "axs[1].legend(['train', 'val'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot first cnn model performance based on validation and test performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(181, 30, 15)\n",
      "(181, 30, 15)\n",
      "(42,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cnn_model_scores = list()\n",
    "length = len(test_country_windows)\n",
    "test_loss = list()\n",
    "val_loss = list()\n",
    "test_mae = list()\n",
    "val_mae = list()\n",
    "for country in range(len(test_country_windows)):\n",
    "    score_test = cnn_model.evaluate(test_country_windows[country], test_country_labels[country], verbose=0)\n",
    "    score_val = cnn_model.evaluate(val_country_windows[country], val_country_labels[country], verbose=0)\n",
    "    test_loss.append(score_test[0])\n",
    "    test_mae.append(score_test[1])\n",
    "    val_loss.append(score_val[0])\n",
    "    val_mae.append(score_val[1])\n",
    "\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize=(7,10))\n",
    "plt.setp(axs[:], xlabel='Random Country')\n",
    "plt.setp(axs[0], ylabel='MSE')\n",
    "plt.setp(axs[1], ylabel='MAE')\n",
    "width = .3\n",
    "x = np.arange(len(test_country_windows))\n",
    "axs[0].bar(x - 0.17, test_loss, width, label='Test')\n",
    "axs[0].bar(x + .17, val_loss, width, label=\"Validation\")\n",
    "axs[0].legend()\n",
    "axs[1].bar(x - 0.17, test_mae, width, label='Test')\n",
    "axs[1].bar(x + .17, val_mae, width, label=\"Validation\")\n",
    "axs[1].legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot model performance for second cnn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# this is used to evaluate the models we've trained\n",
    "fig, axs = plt.subplots(2, 1, figsize=(7,15))\n",
    "plt.title('Model History')\n",
    "plt.setp(axs[:], xlabel='Epoch')\n",
    "plt.setp(axs[0], ylabel='Loss')\n",
    "plt.setp(axs[1], ylabel='MAE')\n",
    "axs[0].plot(history_two.history['loss'])\n",
    "axs[0].plot(history_two.history['val_loss'])\n",
    "axs[0].legend(['train', 'val'])\n",
    "axs[1].plot(history_two.history['mean_absolute_error'])\n",
    "axs[1].plot(history_two.history['val_mean_absolute_error'])\n",
    "axs[1].legend(['train', 'val'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot second cnn model based on validation and test performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cnn_model_scores = list()\n",
    "length = len(test_country_windows)\n",
    "test_loss = list()\n",
    "val_loss = list()\n",
    "test_mae = list()\n",
    "val_mae = list()\n",
    "for country in range(len(test_country_windows)):\n",
    "    test_inputs = reshape_input(test_country_windows[country])\n",
    "    val_inputs = reshape_input(val_country_windows[country])\n",
    "    score_test = second_cnn_model.evaluate(test_inputs, test_country_labels[country], verbose=0)\n",
    "    score_val = second_cnn_model.evaluate(val_inputs, val_country_labels[country], verbose=0)\n",
    "    test_loss.append(score_test[0])\n",
    "    test_mae.append(score_test[1])\n",
    "    val_loss.append(score_val[0])\n",
    "    val_mae.append(score_val[1])\n",
    "\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize=(7,10))\n",
    "plt.setp(axs[:], xlabel='Random Country')\n",
    "plt.setp(axs[0], ylabel='MSE')\n",
    "plt.setp(axs[1], ylabel='MAE')\n",
    "width = .3\n",
    "x = np.arange(len(test_country_windows))\n",
    "axs[0].bar(x - 0.17, test_loss, width, label='Test')\n",
    "axs[0].bar(x + .17, val_loss, width, label=\"Validation\")\n",
    "axs[0].legend()\n",
    "axs[1].bar(x - 0.17, test_mae, width, label='Test')\n",
    "axs[1].bar(x + .17, val_mae, width, label=\"Validation\")\n",
    "axs[1].legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "ML_Final_Project_Model.ipynb",
   "provenance": [],
   "toc_visible": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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