country selection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Country Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\hp\\AppData\\Local\\Temp/ipykernel_14084/1977862313.py:1: DtypeWarning: Columns (121,122,130) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  data = pd.read_csv(r'C:\\Users\\hp\\Desktop\\nyu\\senior 1\\Information Visualization\\Project\\covid-policy-tracker-master\\data\\OxCGRT_nat_differentiated_withnotes_2020.csv')\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CountryName</th>\n",
       "      <th>CountryCode</th>\n",
       "      <th>RegionName</th>\n",
       "      <th>RegionCode</th>\n",
       "      <th>Jurisdiction</th>\n",
       "      <th>Date</th>\n",
       "      <th>C1E_School closing</th>\n",
       "      <th>C1E_Flag</th>\n",
       "      <th>C1NV_School closing</th>\n",
       "      <th>C1NV_Flag</th>\n",
       "      <th>...</th>\n",
       "      <th>ContainmentHealthIndex_NonVaccinated</th>\n",
       "      <th>ContainmentHealthIndex_NonVaccinated_ForDisplay</th>\n",
       "      <th>ContainmentHealthIndex_Vaccinated</th>\n",
       "      <th>ContainmentHealthIndex_Vaccinated_ForDisplay</th>\n",
       "      <th>ContainmentHealthIndex_SimpleAverage</th>\n",
       "      <th>ContainmentHealthIndex_SimpleAverage_ForDisplay</th>\n",
       "      <th>ContainmentHealthIndex_WeightedAverage</th>\n",
       "      <th>ContainmentHealthIndex_WeightedAverage_ForDisplay</th>\n",
       "      <th>EconomicSupportIndex</th>\n",
       "      <th>EconomicSupportIndex_ForDisplay</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NAT_TOTAL</td>\n",
       "      <td>20200101</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NAT_TOTAL</td>\n",
       "      <td>20200102</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NAT_TOTAL</td>\n",
       "      <td>20200103</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NAT_TOTAL</td>\n",
       "      <td>20200104</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NAT_TOTAL</td>\n",
       "      <td>20200105</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 160 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  CountryName CountryCode  RegionName  RegionCode Jurisdiction      Date  \\\n",
       "0       Aruba         ABW         NaN         NaN    NAT_TOTAL  20200101   \n",
       "1       Aruba         ABW         NaN         NaN    NAT_TOTAL  20200102   \n",
       "2       Aruba         ABW         NaN         NaN    NAT_TOTAL  20200103   \n",
       "3       Aruba         ABW         NaN         NaN    NAT_TOTAL  20200104   \n",
       "4       Aruba         ABW         NaN         NaN    NAT_TOTAL  20200105   \n",
       "\n",
       "   C1E_School closing  C1E_Flag  C1NV_School closing  C1NV_Flag  ...  \\\n",
       "0                 0.0       NaN                  NaN        NaN  ...   \n",
       "1                 0.0       NaN                  NaN        NaN  ...   \n",
       "2                 0.0       NaN                  NaN        NaN  ...   \n",
       "3                 0.0       NaN                  NaN        NaN  ...   \n",
       "4                 0.0       NaN                  NaN        NaN  ...   \n",
       "\n",
       "   ContainmentHealthIndex_NonVaccinated  \\\n",
       "0                                   0.0   \n",
       "1                                   0.0   \n",
       "2                                   0.0   \n",
       "3                                   0.0   \n",
       "4                                   0.0   \n",
       "\n",
       "   ContainmentHealthIndex_NonVaccinated_ForDisplay  \\\n",
       "0                                              0.0   \n",
       "1                                              0.0   \n",
       "2                                              0.0   \n",
       "3                                              0.0   \n",
       "4                                              0.0   \n",
       "\n",
       "   ContainmentHealthIndex_Vaccinated  \\\n",
       "0                                0.0   \n",
       "1                                0.0   \n",
       "2                                0.0   \n",
       "3                                0.0   \n",
       "4                                0.0   \n",
       "\n",
       "   ContainmentHealthIndex_Vaccinated_ForDisplay  \\\n",
       "0                                           0.0   \n",
       "1                                           0.0   \n",
       "2                                           0.0   \n",
       "3                                           0.0   \n",
       "4                                           0.0   \n",
       "\n",
       "  ContainmentHealthIndex_SimpleAverage  \\\n",
       "0                                  0.0   \n",
       "1                                  0.0   \n",
       "2                                  0.0   \n",
       "3                                  0.0   \n",
       "4                                  0.0   \n",
       "\n",
       "   ContainmentHealthIndex_SimpleAverage_ForDisplay  \\\n",
       "0                                              0.0   \n",
       "1                                              0.0   \n",
       "2                                              0.0   \n",
       "3                                              0.0   \n",
       "4                                              0.0   \n",
       "\n",
       "   ContainmentHealthIndex_WeightedAverage  \\\n",
       "0                                     NaN   \n",
       "1                                     NaN   \n",
       "2                                     NaN   \n",
       "3                                     NaN   \n",
       "4                                     NaN   \n",
       "\n",
       "   ContainmentHealthIndex_WeightedAverage_ForDisplay  EconomicSupportIndex  \\\n",
       "0                                                NaN                   0.0   \n",
       "1                                                NaN                   0.0   \n",
       "2                                                NaN                   0.0   \n",
       "3                                                NaN                   0.0   \n",
       "4                                                NaN                   0.0   \n",
       "\n",
       "   EconomicSupportIndex_ForDisplay  \n",
       "0                              0.0  \n",
       "1                              0.0  \n",
       "2                              0.0  \n",
       "3                              0.0  \n",
       "4                              0.0  \n",
       "\n",
       "[5 rows x 160 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(r'C:\\Users\\hp\\Desktop\\nyu\\senior 1\\Information Visualization\\Project\\covid-policy-tracker-master\\data\\OxCGRT_nat_differentiated_withnotes_2020.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aruba       366\n",
       "Oman        366\n",
       "Malaysia    366\n",
       "Namibia     366\n",
       "Niger       366\n",
       "           ... \n",
       "Guinea      366\n",
       "Gambia      366\n",
       "Greece      366\n",
       "Grenada     366\n",
       "Zimbabwe    366\n",
       "Name: CountryName, Length: 187, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['CountryName'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Aruba', 'Afghanistan', 'Angola', 'Albania', 'Andorra',\n",
       "       'United Arab Emirates', 'Argentina', 'Australia', 'Austria',\n",
       "       'Azerbaijan', 'Burundi', 'Belgium', 'Benin', 'Burkina Faso',\n",
       "       'Bangladesh', 'Bulgaria', 'Bahrain', 'Bahamas',\n",
       "       'Bosnia and Herzegovina', 'Belarus', 'Belize', 'Bermuda',\n",
       "       'Bolivia', 'Brazil', 'Barbados', 'Brunei', 'Bhutan', 'Botswana',\n",
       "       'Central African Republic', 'Canada', 'Switzerland', 'Chile',\n",
       "       'China', \"Cote d'Ivoire\", 'Cameroon',\n",
       "       'Democratic Republic of Congo', 'Congo', 'Colombia', 'Comoros',\n",
       "       'Cape Verde', 'Costa Rica', 'Cuba', 'Cyprus', 'Czech Republic',\n",
       "       'Germany', 'Djibouti', 'Dominica', 'Denmark', 'Dominican Republic',\n",
       "       'Algeria', 'Ecuador', 'Egypt', 'Eritrea', 'Spain', 'Estonia',\n",
       "       'Ethiopia', 'Finland', 'Fiji', 'France', 'Faeroe Islands', 'Gabon',\n",
       "       'United Kingdom', 'Georgia', 'Ghana', 'Guinea', 'Gambia', 'Greece',\n",
       "       'Grenada', 'Greenland', 'Guatemala', 'Guam', 'Guyana', 'Hong Kong',\n",
       "       'Honduras', 'Croatia', 'Haiti', 'Hungary', 'Indonesia', 'India',\n",
       "       'Ireland', 'Iran', 'Iraq', 'Iceland', 'Israel', 'Italy', 'Jamaica',\n",
       "       'Jordan', 'Japan', 'Kazakhstan', 'Kenya', 'Kyrgyz Republic',\n",
       "       'Cambodia', 'Kiribati', 'South Korea', 'Kuwait', 'Laos', 'Lebanon',\n",
       "       'Liberia', 'Libya', 'Liechtenstein', 'Sri Lanka', 'Lesotho',\n",
       "       'Lithuania', 'Luxembourg', 'Latvia', 'Macao', 'Morocco', 'Monaco',\n",
       "       'Moldova', 'Madagascar', 'Mexico', 'Mali', 'Malta', 'Myanmar',\n",
       "       'Mongolia', 'Mozambique', 'Mauritania', 'Mauritius', 'Malawi',\n",
       "       'Malaysia', 'Namibia', 'Niger', 'Nigeria', 'Nicaragua',\n",
       "       'Netherlands', 'Norway', 'Nepal', 'New Zealand', 'Oman',\n",
       "       'Pakistan', 'Panama', 'Peru', 'Philippines', 'Papua New Guinea',\n",
       "       'Poland', 'Puerto Rico', 'Portugal', 'Paraguay', 'Palestine',\n",
       "       'Qatar', 'Kosovo', 'Romania', 'Russia', 'Rwanda', 'Saudi Arabia',\n",
       "       'Sudan', 'Senegal', 'Singapore', 'Solomon Islands', 'Sierra Leone',\n",
       "       'El Salvador', 'San Marino', 'Somalia', 'Serbia', 'South Sudan',\n",
       "       'Suriname', 'Slovak Republic', 'Slovenia', 'Sweden', 'Eswatini',\n",
       "       'Seychelles', 'Syria', 'Chad', 'Togo', 'Thailand', 'Tajikistan',\n",
       "       'Turkmenistan', 'Timor-Leste', 'Tonga', 'Trinidad and Tobago',\n",
       "       'Tunisia', 'Turkey', 'Taiwan', 'Tanzania', 'Uganda', 'Ukraine',\n",
       "       'Uruguay', 'United States', 'Uzbekistan', 'Venezuela',\n",
       "       'United States Virgin Islands', 'Vietnam', 'Vanuatu', 'Yemen',\n",
       "       'South Africa', 'Zambia', 'Zimbabwe'], dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['CountryName'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "country = data['CountryName'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Aruba',\n",
       " 'Afghanistan',\n",
       " 'Angola',\n",
       " 'Albania',\n",
       " 'Andorra',\n",
       " 'United Arab Emirates',\n",
       " 'Argentina',\n",
       " 'Australia',\n",
       " 'Austria',\n",
       " 'Azerbaijan',\n",
       " 'Burundi',\n",
       " 'Belgium',\n",
       " 'Benin',\n",
       " 'Burkina Faso',\n",
       " 'Bangladesh',\n",
       " 'Bulgaria',\n",
       " 'Bahrain',\n",
       " 'Bahamas',\n",
       " 'Bosnia and Herzegovina',\n",
       " 'Belarus',\n",
       " 'Belize',\n",
       " 'Bermuda',\n",
       " 'Bolivia',\n",
       " 'Brazil',\n",
       " 'Barbados',\n",
       " 'Brunei',\n",
       " 'Bhutan',\n",
       " 'Botswana',\n",
       " 'Central African Republic',\n",
       " 'Canada',\n",
       " 'Switzerland',\n",
       " 'Chile',\n",
       " 'China',\n",
       " \"Cote d'Ivoire\",\n",
       " 'Cameroon',\n",
       " 'Democratic Republic of Congo',\n",
       " 'Congo',\n",
       " 'Colombia',\n",
       " 'Comoros',\n",
       " 'Cape Verde',\n",
       " 'Costa Rica',\n",
       " 'Cuba',\n",
       " 'Cyprus',\n",
       " 'Czech Republic',\n",
       " 'Germany',\n",
       " 'Djibouti',\n",
       " 'Dominica',\n",
       " 'Denmark',\n",
       " 'Dominican Republic',\n",
       " 'Algeria',\n",
       " 'Ecuador',\n",
       " 'Egypt',\n",
       " 'Eritrea',\n",
       " 'Spain',\n",
       " 'Estonia',\n",
       " 'Ethiopia',\n",
       " 'Finland',\n",
       " 'Fiji',\n",
       " 'France',\n",
       " 'Faeroe Islands',\n",
       " 'Gabon',\n",
       " 'United Kingdom',\n",
       " 'Georgia',\n",
       " 'Ghana',\n",
       " 'Guinea',\n",
       " 'Gambia',\n",
       " 'Greece',\n",
       " 'Grenada',\n",
       " 'Greenland',\n",
       " 'Guatemala',\n",
       " 'Guam',\n",
       " 'Guyana',\n",
       " 'Hong Kong',\n",
       " 'Honduras',\n",
       " 'Croatia',\n",
       " 'Haiti',\n",
       " 'Hungary',\n",
       " 'Indonesia',\n",
       " 'India',\n",
       " 'Ireland',\n",
       " 'Iran',\n",
       " 'Iraq',\n",
       " 'Iceland',\n",
       " 'Israel',\n",
       " 'Italy',\n",
       " 'Jamaica',\n",
       " 'Jordan',\n",
       " 'Japan',\n",
       " 'Kazakhstan',\n",
       " 'Kenya',\n",
       " 'Kyrgyz Republic',\n",
       " 'Cambodia',\n",
       " 'Kiribati',\n",
       " 'South Korea',\n",
       " 'Kuwait',\n",
       " 'Laos',\n",
       " 'Lebanon',\n",
       " 'Liberia',\n",
       " 'Libya',\n",
       " 'Liechtenstein',\n",
       " 'Sri Lanka',\n",
       " 'Lesotho',\n",
       " 'Lithuania',\n",
       " 'Luxembourg',\n",
       " 'Latvia',\n",
       " 'Macao',\n",
       " 'Morocco',\n",
       " 'Monaco',\n",
       " 'Moldova',\n",
       " 'Madagascar',\n",
       " 'Mexico',\n",
       " 'Mali',\n",
       " 'Malta',\n",
       " 'Myanmar',\n",
       " 'Mongolia',\n",
       " 'Mozambique',\n",
       " 'Mauritania',\n",
       " 'Mauritius',\n",
       " 'Malawi',\n",
       " 'Malaysia',\n",
       " 'Namibia',\n",
       " 'Niger',\n",
       " 'Nigeria',\n",
       " 'Nicaragua',\n",
       " 'Netherlands',\n",
       " 'Norway',\n",
       " 'Nepal',\n",
       " 'New Zealand',\n",
       " 'Oman',\n",
       " 'Pakistan',\n",
       " 'Panama',\n",
       " 'Peru',\n",
       " 'Philippines',\n",
       " 'Papua New Guinea',\n",
       " 'Poland',\n",
       " 'Puerto Rico',\n",
       " 'Portugal',\n",
       " 'Paraguay',\n",
       " 'Palestine',\n",
       " 'Qatar',\n",
       " 'Kosovo',\n",
       " 'Romania',\n",
       " 'Russia',\n",
       " 'Rwanda',\n",
       " 'Saudi Arabia',\n",
       " 'Sudan',\n",
       " 'Senegal',\n",
       " 'Singapore',\n",
       " 'Solomon Islands',\n",
       " 'Sierra Leone',\n",
       " 'El Salvador',\n",
       " 'San Marino',\n",
       " 'Somalia',\n",
       " 'Serbia',\n",
       " 'South Sudan',\n",
       " 'Suriname',\n",
       " 'Slovak Republic',\n",
       " 'Slovenia',\n",
       " 'Sweden',\n",
       " 'Eswatini',\n",
       " 'Seychelles',\n",
       " 'Syria',\n",
       " 'Chad',\n",
       " 'Togo',\n",
       " 'Thailand',\n",
       " 'Tajikistan',\n",
       " 'Turkmenistan',\n",
       " 'Timor-Leste',\n",
       " 'Tonga',\n",
       " 'Trinidad and Tobago',\n",
       " 'Tunisia',\n",
       " 'Turkey',\n",
       " 'Taiwan',\n",
       " 'Tanzania',\n",
       " 'Uganda',\n",
       " 'Ukraine',\n",
       " 'Uruguay',\n",
       " 'United States',\n",
       " 'Uzbekistan',\n",
       " 'Venezuela',\n",
       " 'United States Virgin Islands',\n",
       " 'Vietnam',\n",
       " 'Vanuatu',\n",
       " 'Yemen',\n",
       " 'South Africa',\n",
       " 'Zambia',\n",
       " 'Zimbabwe']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country = list(country)\n",
    "country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "# Test if a country is collected\n",
    "if 'South Korea' in country:\n",
    "    print('True')\n",
    "else:\n",
    "    print('False')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "16 Country list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "country_16 = ['Russia', 'China', 'India', 'United Kingdom', 'France', 'Germany', 'Italy', 'Saudi Arabia', 'Congo', 'Egypt', 'South Africa', 'Canada', 'Australia', 'United States', 'Brazil', 'Mexico']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "20 Country list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "country_20 = ['Russia', 'China', 'India', 'United Kingdom', 'France', 'Germany', 'Italy', 'Saudi Arabia', 'Congo', 'Egypt', 'South Africa', 'Canada', 'Australia', 'United States', 'Brazil', 'Mexico','Greenland','Indonesia','New Zealand','Argentina']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "30 Country list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "country_30 = ['Russia', 'China', 'India', 'United Kingdom', 'France', 'Germany', 'Italy', 'Saudi Arabia', 'Congo', 'Egypt', 'South Africa', 'Canada', 'Australia', 'United States', 'Brazil', 'Mexico','Greenland','Indonesia','New Zealand','Argentina','Finland','Turkey','Ukraine','Japan','Spain','Mali','South Korea','Kazakhstan','Peru','Columbia']"
   ]
  }
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