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Java for Data Science

You're reading from   Java for Data Science Examine the techniques and Java tools supporting the growing field of data science

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781785280115
Length 386 pages
Edition 1st Edition
Languages
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Authors (2):
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Jennifer L. Reese Jennifer L. Reese
Author Profile Icon Jennifer L. Reese
Jennifer L. Reese
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Data Science 2. Data Acquisition FREE CHAPTER 3. Data Cleaning 4. Data Visualization 5. Statistical Data Analysis Techniques 6. Machine Learning 7. Neural Networks 8. Deep Learning 9. Text Analysis 10. Visual and Audio Analysis 11. Mathematical and Parallel Techniques for Data Analysis 12. 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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