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

Chapter 3. Data Visualization

As the name suggests, this chapter describes the various methods commonly used to display data visually. A picture is worth a thousand words and a good graphical display is often the best way to convey the main ideas hidden in the numbers. Dr. Snow's Cholera Map (Figure 1-3) is a classic example.

Here is another famous example, also from the nineteenth century:

Figure 3-1. Minard's map of Napoleon's Russian campaign

This map shows the path of Napoleon and his army during the War of 1812, marching from France to Moscow and back. The main idea being conveyed here is that the size of the army at each point in the campaign is represented by the width of the lines of advance and retreat.