corona/coronavirus_countries

countries.ipynb

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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "\n",
      "Countires affected: ['China', 'US', 'Japan', 'Thailand', 'South Korea', 'Mainland China', 'Hong Kong', 'Macau', 'Taiwan', 'Singapore', 'Philippines', 'Malaysia', 'Vietnam', 'Australia', 'Mexico', 'Brazil', 'France', 'Nepal', 'Canada', 'Cambodia', 'Sri Lanka', 'Ivory Coast', 'Germany', 'Finland', 'United Arab Emirates', 'India', 'Italy', 'Sweden', 'Russia', 'Spain', 'UK', 'Belgium']\n",
      "\n",
      "Total countries affected by virus:  32\n"
     ]
    }
   ],
   "source": [
    "# Countries affected\n",
    "\n",
    "countries = df['Country'].unique().tolist()\n",
    "\n",
    "print(\"\\nCountires affected:\" , countries)\n",
    "\n",
    "print(\"\\nTotal countries affected by virus: \", len(countries))"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Countires affected: ['China', 'US', 'Japan', 'Thailand', 'South Korea', 'Hong Kong', 'Macau', 'Taiwan', 'Singapore', 'Philippines', 'Malaysia', 'Vietnam', 'Australia', 'Mexico', 'Brazil', 'France', 'Nepal', 'Canada', 'Cambodia', 'Sri Lanka', 'Ivory Coast', 'Germany', 'Finland', 'United Arab Emirates', 'India', 'Italy', 'Sweden', 'Russia', 'Spain', 'UK', 'Belgium']\n",
      "\n",
      "Total countries affected by virus:  31\n"
     ]
    }
   ],
   "source": [
    "# Combining China and Mainland China cases\n",
    "\n",
    "df['Country'].replace({'Mainland China':'China'}, inplace = True)\n",
    "\n",
    "countries = df['Country'].unique().tolist()\n",
    "\n",
    "print(\"\\nCountires affected:\" , countries)\n",
    "\n",
    "print(\"\\nTotal countries affected by virus: \", len(countries))"
   ]
  }
 ],
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