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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 FREE CHAPTER 2. Data Acquisition 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 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...
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