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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 scatter charts


Scatter charts also use the XYChart.Series class in JavaFX. For this example, we will use a set of European data that includes the previous Europeans countries and their population data for the decades 1500 through 2000. This information is stored in a file called EuropeanScatterData.csv. The first part of this file is shown here:

1500 1400000
1600 1600000
1650 1500000
1700 2000000
1750 2250000
1800 3250000
1820 3434000
1830 3750000
1840 4080000
...

We start with the declaration of the JavaFX MainApp class, as shown next. The main method launches the application and the start method creates the user interface:

public class MainApp extends Application { 
    @Override 
    public void start(Stage stage) throws Exception { 
        ... 
    } 
 
    public static void main(String[] args) { 
        launch(args); 
    } 
} 

Within the start method we set the title, create the...

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