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

Data points and datasets


In data analysis, it is convenient to think of the data as points of information. For example, in a collection of biographical data, each data point would contain information about one person. Consider the following data point:

("Adams", "John", "M", 26, 704601929)

It could represent a 26-year-old male named John Adams with ID number 704601929.

We call the individual data values in a data point fields (or attributes). Each of these values has its own type. The preceding example has five fields: three text and two numeric.

The sequence of data types for the fields of a data point is called its type signature. The type signature for the preceding example is (text, text, text, numeric, numeric). In Java, that type signature would be (String, String, String, int, int).

A dataset is a set of data points, all of which have the same type signature. For example, we could have a dataset that represents a group of people, each point representing a unique member of the group. Since...