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Learning Jupyter by Dan Toomey

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Scala array operations

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); ...

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