1 // Part 2 about Alcohol-Consumption Worldwide

     2 //============================================

     3 

     4 object CW6b {

     5 

     6 import io.Source

     7 import scala.util._

     8 

     9 val url_alcohol = 

    10   "https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv"

    11 

    12 val file_population = 

    13   "population.csv"

    14 

    15 

    16 //(1) Complete the get_csv_page function below. It takes a URL-string

    17 //    as argument and generates a list of strings corresponding to each

    18 //    line in the downloaded csv-list. The URL url_alcohol above is one 

    19 //    possible argument.

    20 

    21 //def get_csv_page(url: String) : List[String] = ...

    22 

    23 

    24 //    Complete the get_csv_file function below. It takes a file name 

    25 //    as argument and reads the content of the given file. Like above,

    26 //    it should generate a list of strings corresponding to each

    27 //    line in the csv-list. The filename file_population is one possible

    28 //    argument.

    29 

    30 //def get_csv_file(file: String) : List[String] = ...

    31 

    32 

    33 

    34 //(2) Complete the functions that process the csv-lists. For

    35 //    process_alcs extract the country name (as String) and the 

    36 //    pure alcohol consumption (as Double). For process_pops

    37 //    generate a Map of Strings (country names) to Long numbers 

    38 //    (population sizes). 

    39 

    40 //def process_alcs(lines: List[String]) : List[(String, Double)] = ...

    41 

    42 //def process_pops(lines: List[String]) : Map[String, Long] = ...

    43 

    44 

    45 

    46 //(3) Calculate for each country the overall alcohol_consumption using

    47 //    the data from the alcohol list and the population sizes list. You

    48 //    should only include countries on the alcohol list that are also

    49 //    on the population sizes list with the exact same name. Note that

    50 //    the spelling of some names in the alcohol list differs from the

    51 //    population sizes list. You can ignore entries where the names differ. 

    52 //    Sort the resulting list according to the country with the highest alcohol 

    53 //    consumption to the country with the lowest alcohol consumption.

    54 

    55 //def sorted_country_consumption() : List[(String, Long)] = ...

    56 

    57 

    58 //   Calculate the world consumption of pure alcohol of all countries, which 

    59 //   should be the first element in the tuple below. The second element is

    60 //   the overall consumption of the first n countries in the sorted list

    61 //   from above; and finally the double should be the percentage of the 

    62 //   first n countries drinking from the the world consumption of alcohol.          

    63 

    64 //def percentage(n: Int) : (Long, Long, Double) = ...

    65 

    66 }