Scala does not have pandas, but we can emulate some of that logic with our own coding. We will use the same Titanic dataset used in Chapter 2 , Jupyter Python Scripting, from http://www.kaggle.com/c/titanic-gettingStarted/download/train.csv, which we have downloaded in our local space.
We can then use similar coding as was used in Chapter 2 , Jupyter Python Scripting, on pandas:
import scala.io.Source; val filename = "train.csv" //PassengerId,Survived,Pclass,Name,Sex,Age,SibSp, Parch,Ticket,Fare,Cabin,Embarked //1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S var males = 0 var females = 0 var males_survived = 0 var females_survived = 0 for (line <- Source.fromFile(filename).getLines) { var cols = line.split(",").map(_.trim); var sex = cols(5); if (sex == "male") { males = males + 1; if (cols(1).toInt == 1) { males_survived = males_survived + 1; } } if (sex == "female") { females...