Book Image

Java for Data Science

By : Richard M. Reese, Jennifer L. Reese
Book Image

Java for Data Science

By: Richard M. Reese, Jennifer L. Reese

Overview of this book

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

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 { 
...