--- a/templates/alcohol.scala	Wed Nov 08 16:08:16 2017 +0000
+++ b/templates/alcohol.scala	Wed Nov 08 20:27:56 2017 +0000
@@ -13,16 +13,17 @@
   "population.csv"
 
 
-//(1) Complete the get_csv_page function below. It takes the URL-string
-//    as argument and generates a list of strings corresponing to each
-//    line in the csv list. The URL url_alcohol is one possible argument.
+//(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-string
-//    as argument and reads the content of the given file. Like above
-//    it should generates a list of strings corresponing to each
+//    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.
 
@@ -34,7 +35,7 @@
 //    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 size). 
+//    (population sizes). 
 
 //def process_alcs(lines: List[String]) : List[(String, Double)] = ...
 
@@ -45,11 +46,11 @@
 //(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
-//    (with the exact name) on the population sizes list. Note that
+//    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. Sort the resulting list according to the 
-//    country with the highest alcohol consumption to the country 
-//    with the lowest alcohol consumption.
+//    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)] = ...
 
@@ -58,7 +59,7 @@
 //   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 of the the world consumption of alcohol.          
+//   first n countries drinking from the the world consumption of alcohol.          
 
 //def percentage(n: Int) : (Long, Long, Double) = ...