Book Image

Java Data Analysis

By : John R. Hubbard
Book Image

Java Data Analysis

By: John R. Hubbard

Overview of this book

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you’ll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you’ll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.
Table of Contents (20 chapters)
Java Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Java implementation


Listing 3-1 shows a test driver for a TimeSeries class. The class is parameterized, the parameter being the object type of the event that is moving through time. In this program, that type is String.

An array of six strings is defined at line 11. These will be the events to be loaded into the series object that is instantiated at line 14. The loading is done by the load(), defined at lines 27-31 and invoked at line 15.

Listing 3-1. Test program for TimeSeries class

The contents of the series are loaded at line 15. Then at lines 17-21, the six key-value pairs are printed. Finally, at lines 23-24, we use the direct access capability of the ArrayList class to examine the series entry at index 3 (the fourth element). The output is shown in Figure 3-11.

Figure 3-11. Output from the TimeSeriesTester program

Notice that the list's element type is TimeSeries.Entry. That is a static nested class, defined inside the TimeSeries class, whose instances represent the key-value pairs.

The...