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Java for Data Science

You're reading from  Java for Data Science

Product type Book
Published in Jan 2017
Publisher Packt
ISBN-13 9781785280115
Pages 386 pages
Edition 1st Edition
Languages
Authors (2):
Richard M. Reese Richard M. Reese
Profile icon Richard M. Reese
Jennifer L. Reese Jennifer L. Reese
Profile icon Jennifer L. Reese
View More author details

Table of Contents (19) Chapters

Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Getting Started with Data Science Data Acquisition Data Cleaning Data Visualization Statistical Data Analysis Techniques Machine Learning Neural Networks Deep Learning Text Analysis Visual and Audio Analysis Mathematical and Parallel Techniques for Data Analysis Bringing It All Together

Creating pie charts


The following pie chart example is based on the 2000 population of selected European countries as summarized here:

Country

Population

Percentage

Belgium

10,263,618

3

France

61,137,000

26

Germany

82,187,909

35

Netherlands

15,907,853

7

Sweden

8,872,000

4

United Kingdom

59,522,468

25

The JavaFX implementation uses the same Application base class and main method as used in the previous examples. We will not use a separate method for creating the GUI, but instead place this code in the start method, as shown here:

public class PieChartSample extends Application { 
 
    public void start(Stage stage) { 
        Scene scene = new Scene(new Group()); 
        stage.setTitle("Europian Country Population"); 
        stage.setWidth(500); 
        stage.setHeight(500); 
        ... 
    } 
 
    public static void main(String[] args) { 
        launch(args); 
    } 
     
} 

A pie chart...

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