Book Image

Big Data Analytics with Java

Book Image

Big Data Analytics with Java


Overview of this book

This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset. This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.
Table of Contents (21 chapters)
Big Data Analytics with Java
About the Author
About the Reviewers
Customer Feedback
Free Chapter
Big Data Analytics with Java
Ensembling on Big Data
Real-Time Analytics on Big Data

Bar charts

A bar chart shows variations in quantity of some entity using rectangles either drawn vertically or horizontally on a chart. As you visualize the different lengths of rectangles on the chart, it is easy to figure out which category is more and which one is less. Bar charts have three main advantages:

  • You can see the data relationships in the x and y axes

  • You can easily compare the values among different categories

  • You can also use them to visualize trends

As an example, take a look at the following bar chart, which shows the number of cars made by different countries (as shown in cars.json dataset):

As you can see in the preceding chart, this dataset has a maximum number of cars from the UK followed by the USA, followed by Italy, and so on.

Let's explore this example further with the actual code. The cars.json dataset that is analyzed by the preceding chart, has the following format: