Life Expectancy Analysis.ipynb

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                    "text": "\nEnter the year of interest: 1959\nEnter the country of interest: Germany\n"
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                    "ename": "FileNotFoundError",
                    "evalue": "[Errno 2] No such file or directory: 'life-expectancy.csv'",
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                        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
                        "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
                        "\u001b[0;32m<ipython-input-1-1cafc601fbfd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[0mmin_life_expectancy_interest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m99999999999\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 28\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"life-expectancy.csv\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mcsv_file\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     29\u001b[0m     \u001b[0;31m# The file has now been opened and stored in a variable \"csv_file\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
                        "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'life-expectancy.csv'"
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            "source": "year_of_interest = int(input(\"\\nEnter the year of interest: \"))\ncountry_of_interest = input(\"Enter the country of interest: \")\ncount = 0\ncount2 = 0\nyear = -1\nmax_year = -1\nmin_year = -1\ncountry = None\nmax_country = None\nmin_country = None\ncountry_code = None\nlife_expectancy = 0\nsum_life_expectancy = 0\nsum_life_expectancy2 = 0\nmax_life_expectancy = 0\nmin_life_expectancy = 99999999999\n\nmax_country_year = None\nmin_country_year = None\nmax_life_expectancy_year = 0\nmin_life_expectancy_year = 99999999999\n\nmax_country_interest = None\nmin_country_interest = None\nmax_life_expectancy_interest = 0\nmin_life_expectancy_interest = 99999999999\n\nwith open(\"life-expectancy.csv\") as csv_file:\n    # The file has now been opened and stored in a variable \"csv_file\"\n\n    # skip the first line in csv_file, in this case the header\n    next(csv_file)\n\n    # Read each line, one by one, into a variable: current_line\n    for current_line in csv_file:\n        # Strip off leading/trailing whitespace, \\t, and/or \\n.\n        # This is important, otherwise, our last variable will have \\n characters with it.\n        current_line = current_line.strip()\n\n        # Split the current line into its parts based on a comma \",\" as the separator\n        split_line = current_line.split(\",\")\n\n        # Save the parts we need into variables\n        country = split_line[0]\n        country_code = split_line[1]\n        year = int(split_line[2])\n        life_expectancy = float(split_line[3])\n\n        # Find the lowest value for life expectancy and the highest value for \n        # life expectancy in the dataset. \n        if life_expectancy > max_life_expectancy:\n            max_year = year\n            max_country = country\n            max_life_expectancy = life_expectancy\n        \n        if life_expectancy < min_life_expectancy:\n        #if life_expectancy_years > 0 and life_expectancy_years < min_life_expectancy_years:\n            min_year = year\n            min_country = country\n            min_life_expectancy = life_expectancy\n\n        # Year of interest\n        if year_of_interest == year:\n            count += 1\n            sum_life_expectancy += life_expectancy\n\n            if life_expectancy > max_life_expectancy_year:\n                max_country_year = country\n                max_life_expectancy_year = life_expectancy\n\n            if life_expectancy < min_life_expectancy_year:\n                min_country_year = country\n                min_life_expectancy_year = life_expectancy\n        \n        if country_of_interest == country:\n            count2 += 1\n            sum_life_expectancy2 += life_expectancy\n\n            if life_expectancy > max_life_expectancy_interest:\n                max_country_interest = country\n                max_life_expectancy_interest = life_expectancy\n\n            if life_expectancy < min_life_expectancy_interest:\n                min_country_interest = country\n                min_life_expectancy_interest = life_expectancy\n\n\naverage_life_expectancy = sum_life_expectancy / count\naverage_life_expectancy2 = sum_life_expectancy2 / count2\n\n# Output the data as desired\nprint()\nprint(f\"The overall max life expectancy is: {max_life_expectancy:.3f} from {max_country} in {max_year}\")\nprint(f\"The overall min life expectancy is: {min_life_expectancy:.3f} from {min_country} in {min_year}\")\n\nprint(f\"\\nFor the year {year_of_interest}:\")\nprint(f\"The average life expectancy across all countries was {average_life_expectancy:.2f}\")\nprint(f\"The max life expectancy was in {max_country_year} with {max_life_expectancy_year}\")\nprint(f\"The min life expectancy was in {min_country_year} with {min_life_expectancy_year}\")\nprint()\n\nprint(f\"\\nFor the country {country_of_interest}:\")\nprint(f\"The average life expectancy across this country was {average_life_expectancy2:.2f}\")\nprint(f\"The max life expectancy was in {max_country_interest} with {max_life_expectancy_interest}\")\nprint(f\"The min life expectancy was in {min_country_interest} with {min_life_expectancy_interest}\")\nprint()"
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