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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
1. Getting Started with Data Science 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 bubble charts


Bubble charts are similar to scatter plots except they represent data with three dimensions. The first two dimensions are expressed on the X and Y axes and the third is represented by the size of the point plotted. This can be helpful in determining relationships between data values.

We will again use the DataTable class to initially hold the data to be displayed. In this example, we will read data from a sample file called MarriageByYears.csv. This is also a CSV file, and contains one column representing the year a marriage occurred, a second column holding the age at which a person was married, and a third column holding integers representing marital satisfaction on a scale from 1 (least satisfied) to 10 (most satisfied). We create a DataSeries to represent our type of desired data plot and then create a XYPlot object:

DataReader readType =  
    DataReaderFactory.getInstance().get("text/csv"); 
String fileName = "C://MarriageByYears.csv"; 
try { 
...
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