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

The Library database


In Chapter 5, Relational Databases, we created a Library database as an Rdb, using NetBeans Java DB relational database system. The design for that database is shown in Figure 5-2. (The same database could have been built using MySQL or any other Rdb.) Here, we will build a MongoDB database for the same data.

As mentioned previously, the only preliminary design decisions that we have to make are the names of the database itself and its collections. We'll name the database library, and its three collections authors, publishers, and books. These are created in Figure 10-11:

Figure 10-11. Creating a library database

Then, we can insert some date, as shown in Figure 10-12:

Figure 10-12. Inserting documents into the authors collection

Here, we have inserted six documents in the authors collection, representing six authors.

Notice that we have given each document four fields: _id, lname, fname, and yob. The first three are strings and the last is an integer. The _id field values...