Created
April 18, 2014 17:19
-
-
Save Fabszn/11054896 to your computer and use it in GitHub Desktop.
Analyse of file from data.gouv.fr
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import scala.io.Source | |
import scala.util.parsing.json.{JSONObject, JSONFormat, JSONArray} | |
/** | |
* Created by fsznajderman on 16/04/2014. | |
*/ | |
object main { | |
case class Accident(lum: Int, agg: Int, int: Int, atm: Int, col: Int, catr: Int, grav: Float) | |
case class Result(lbl: String, nb: Int, avg: Float) { | |
override def toString: String = s"{ 'title' : $lbl ,'nb' : $nb, 'avg' : $avg} " | |
} | |
def main(args: Array[String]) { | |
val lines = Source.fromFile("/Users/fsznajderman/Documents/Opendata/DataAccidentsCleaned.csv").getLines().toList | |
def c(v: String): Int = Option[String](v).filter(s => !s.isEmpty).map(s => s.toInt).getOrElse(0) | |
def f(v: String): Float = Option[String](v).filter(s => !s.isEmpty).map(s => s.toFloat).getOrElse(0) | |
val allAccidents = lines.map(line => { | |
val l = line.split(",") | |
Accident(c(l(1)), c(l(2)), c(l(3)), c(l(4)), c(l(5)), c(l(8)), f(l(30))) | |
}) | |
val result = List(('lum, compute(allAccidents.groupBy(i => i.lum))), | |
('agg, compute(allAccidents.groupBy(i => i.agg))), | |
('int, compute(allAccidents.groupBy(i => i.int))), | |
('atm, compute(allAccidents.groupBy(i => i.atm))), | |
('col, compute(allAccidents.groupBy(i => i.col))), | |
('catr, compute(allAccidents.groupBy(i => i.catr)))) | |
println("{") | |
result.foreach(l => formatOutput(l._1, l._2)) | |
println("}") | |
} | |
def formatOutput(s: Symbol, l: Iterable[Result]) = { | |
println(s"$s':[") | |
l.foreach(item => println(item + ",")) | |
print("],") | |
} | |
def avg(data: List[Accident]) = data.map(acc => acc.grav).sum / data.size | |
def compute(datas: Map[Int, List[Accident]]) = datas.keys.map(k => Result(k.toString, datas(k).size, avg(datas(k)))) | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment