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Big Data Analytics with Java

You're reading from Big Data Analytics with Java Data analysis, visualization & machine learning techniques

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

Table of Contents (21) Chapters

Big Data Analytics with Java

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Big Data Analytics with Java FREE CHAPTER

2. First Steps in Data Analysis

3. Data Visualization

4. Basics of Machine Learning

5. Regression on Big Data

6. Naive Bayes and Sentiment Analysis

7. Decision Trees

8. Ensembling on Big Data

9. Recommendation Systems

10. Clustering and Customer Segmentation on Big Data

11. Massive Graphs on Big Data

12. Real-Time Analytics on Big Data

13. Deep Learning Using Big Data

Index

Summary

In this chapter, we covered six basic types of charts, namely, Time Series charts, bar charts, line charts, histograms, and scatter plots. These charts are extensively used in the data exploration phase to help us better understand our data. Visually understanding our data this way can help us easily figure out anomalies in our dataset and give us insights into our data that we can later put to use for making predictions on new data. Each chart can be used for specific needs such as:

Time Series charts show us how our data changes with respect to time
Bar charts show us the trends in our data and histograms help us find the density of our data
Box charts help us find the minimum, maximum, median values in our numerical data, and also help us figure out the outlier points
Scatter plots help us figure out patterns in our data or how our data points are concentrated

Java provides us with various open source libraries that we can put to use for making these charts. One such popular library...

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Authors (1)

RAJAT MEHTA

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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