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

Relational databases


A relational database maintains a collection of database objects, including relations (tables) and the specified constraints upon them. The relation in the following table could be combined with the one in Table 5-1 to form a relational database:

Dept ID

Name

Director

HR

Human Resources

34953

IT

Information Technology

23098

DA

Data Analysis

15584

Table 5-2. A database table of departments

This would also include the designated primary keys ID for the Employees table and Dept ID for the Departments table.

The schema for the relational database itself is the collection of table headings, their corresponding datatypes, and their key designations. We could specify the schema for this two-table database as:

  • Employees(ID, Last Name, First Name, Date of Birth, Job Title, Email)

  • Departments(Dept ID, Name, Director)

The primary keys are indicated by underlining their names. In this example, ID is the primary key for the Employees table, and Dept ID is the primary key...