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Java: Data Science Made Easy

You're reading from   Java: Data Science Made Easy Data collection, processing, analysis, and more

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Product type Course
Published in Jul 2017
Publisher Packt
ISBN-13 9781788475655
Length 734 pages
Edition 1st Edition
Languages
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Authors (3):
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Alexey Grigorev Alexey Grigorev
Author Profile Icon Alexey Grigorev
Alexey Grigorev
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Jennifer L. Reese Jennifer L. Reese
Author Profile Icon Jennifer L. Reese
Jennifer L. Reese
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Toc

Table of Contents (29) Chapters Close

Title Page
Credits
Preface
1. Module 1 FREE CHAPTER
2. Getting Started with Data Science 3. Data Acquisition 4. Data Cleaning 5. Data Visualization 6. Statistical Data Analysis Techniques 7. Machine Learning 8. Neural Networks 9. Deep Learning 10. Text Analysis 11. Visual and Audio Analysis 12. Visual and Audio Analysis 13. Mathematical and Parallel Techniques for Data Analysis 14. Bringing It All Together 15. Module 2
16. Data Science Using Java 17. Data Processing Toolbox 18. Exploratory Data Analysis 19. Supervised Learning - Classification and Regression 20. Unsupervised Learning - Clustering and Dimensionality Reduction 21. Working with Text - Natural Language Processing and Information Retrieval 22. Extreme Gradient Boosting 23. Deep Learning with DeepLearning4J 24. Scaling Data Science 25. Deploying Data Science Models 26. Bibliography

Creating bar charts


A bar chart uses two axes with rectangular bars that can be either positioned either vertically or horizontally. The length of a bar is proportional to the value it represents. A bar chart can be used to show time series data.

In the following series of examples, we will be using a set of European country populations for three decades, as listed in the following table. The data is a subset of population data found at https://ourworldindata.org/grapher/population-by-country?tab=data:

Country

1950

1960

1970

Belgium

8,639,369

9,118,700

9,637,800

France

42,518,000

46,584,000

51,918,000

Germany

68,374,572

72,480,869

77,783,164

Netherlands

10,113,527

11,486,000

13,032,335

Sweden

7,014,005

7,480,395

8,042,803

United Kingdom

50,127,000

52,372,000

55,632,000

 

The first of three bar charts will be constructed using JavaFX. We start with a series of declarations for the countries as part of a class that extends the Application class:

public class MainApp extends Application { 
    final static String belgium...
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