// Part 2 about Alcohol-Consumption Worldwide
//============================================
// (1) Complete the function that is given a list of floats
// and calculuates the indices for when to buy the commodity
// and when to sell
// (2) Complete the ``get webpage'' function that takes a
// a stock symbol as argument and queries the Yahoo server
// at
// http://ichart.yahoo.com/table.csv?s=<<insert stock symbol>>
//
// This servive returns a CSV-list that needs to be separated into
// a list of strings.
import io.Source
import scala.util._
def get_csv_page(url: String) : List[String] =
Source.fromURL(url)("ISO-8859-1").getLines.toList
def get_csv_file(file: String) : List[String] =
Source.fromFile(file)("ISO-8859-1").getLines.toList
val url_alcohol =
"https://raw.githubusercontent.com/fivethirtyeight/data/master/alcohol-consumption/drinks.csv"
val file_population =
"population.cvs"
get_csv_page(url_alcohol)
get_csv_file(file_population)
get_csv_page(url_alcohol).size
get_csv_file(file_population).size
val alcs = get_csv_page(url_alcohol)
val pops = get_csv_file(file_population)
def process_alcs(lines: List[String]) : List[(String, Double)] =
for (l <- lines) yield {
val entries = l.split(",").toList
(entries(0), entries(4).toDouble)
}
def process_pops(lines: List[String]) : Map[String, Long] =
(for (l <- lines) yield {
val entries = l.split(",").toList
(entries(0), entries(1).toLong)
}).toMap
def sorted_country_consumption() : List[(String, Long)] = {
val alcs2 = process_alcs(alcs.drop(1))
val pops2 = process_pops(pops.drop(1))
val cons_list =
for ((cname, cons) <- alcs2; if pops2.isDefinedAt(cname)) yield (cname, (cons * pops2(cname)).toLong)
cons_list.sortBy(_._2).reverse
}
sorted_country_consumption().take(10)
sorted_country_consumption().size
consumption.foreach { println }
def percentage(n: Int) : (Long, Long, Double) = {
val cons_list = sorted_country_consumption()
val sum_n = cons_list.take(n).map(_._2).sum
val sum_all = cons_list.map(_._2).sum
val perc = (sum_n.toDouble / sum_all.toDouble) * 100.0
(sum_all, sum_n, perc)
}
percentage(164)