diff -r 716042628398 -r d306102fd33b templates1/alcohol.scala
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/templates1/alcohol.scala	Tue Nov 14 21:34:22 2017 +0000
@@ -0,0 +1,66 @@
+// Part 2 about Alcohol-Consumption Worldwide
+//============================================
+
+object CW6b {
+
+import io.Source
+import scala.util._
+
+val url_alcohol = 
+  "https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv"
+
+val file_population = 
+  "population.csv"
+
+
+//(1) Complete the get_csv_page function below. It takes a URL-string
+//    as argument and generates a list of strings corresponding to each
+//    line in the downloaded csv-list. The URL url_alcohol above is one 
+//    possible argument.
+
+//def get_csv_page(url: String) : List[String] = ...
+
+
+//    Complete the get_csv_file function below. It takes a file name 
+//    as argument and reads the content of the given file. Like above,
+//    it should generate a list of strings corresponding to each
+//    line in the csv-list. The filename file_population is one possible
+//    argument.
+
+//def get_csv_file(file: String) : List[String] = ...
+
+
+
+//(2) Complete the functions that process the csv-lists. For
+//    process_alcs extract the country name (as String) and the 
+//    pure alcohol consumption (as Double). For process_pops
+//    generate a Map of Strings (country names) to Long numbers 
+//    (population sizes). 
+
+//def process_alcs(lines: List[String]) : List[(String, Double)] = ...
+
+//def process_pops(lines: List[String]) : Map[String, Long] = ...
+
+
+
+//(3) Calculate for each country the overall alcohol_consumption using
+//    the data from the alcohol list and the population sizes list. You
+//    should only include countries on the alcohol list that are also
+//    on the population sizes list with the exact same name. Note that
+//    the spelling of some names in the alcohol list differs from the
+//    population sizes list. You can ignore entries where the names differ. 
+//    Sort the resulting list according to the country with the highest alcohol 
+//    consumption to the country with the lowest alcohol consumption.
+
+//def sorted_country_consumption() : List[(String, Long)] = ...
+
+
+//   Calculate the world consumption of pure alcohol of all countries, which 
+//   should be the first element in the tuple below. The second element is
+//   the overall consumption of the first n countries in the sorted list
+//   from above; and finally the double should be the percentage of the 
+//   first n countries drinking from the the world consumption of alcohol.          
+
+//def percentage(n: Int) : (Long, Long, Double) = ...
+
+}