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

Summary


The first part of this chapter described some important historical events that have led to the development of data analysis: ancient commercial record keeping, royal compilations of land and property, and accurate mathematical models in astronomy, physics, and navigation. It was this activity that led Babbage to invent the computer. Data analysis was borne from necessity in the advance of civilization, from the identification of the source of cholera, to the management of economic data, and the modern processing of massive datasets.

This chapter also briefly explained our choice of the Java programming language for the implementation of the data analysis algorithms to be studied in this book. And finally, it introduced the NetBeans IDE, which we will also use throughout the book.