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Mastering Java for Data Science

You're reading from   Mastering Java for Data Science Analytics and more for production-ready applications

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781782174271
Length 364 pages
Edition 1st Edition
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Author (1):
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Alexey Grigorev Alexey Grigorev
Author Profile Icon Alexey Grigorev
Alexey Grigorev
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Exploratory Data Analysis

In the previous chapter, we covered data processing, which is an important step for transforming data into a form usable for analysis. In this chapter, we take the next logical step after cleaning and look at data. This step is called Exploratory Data Analysis (EDA), and it consists of summarizing data and creating visualizations.

In this chapter, we will cover the following topics:

  • Summary statistics with Apache Commons Math and Joinery
  • Interactive shells for EDA in Java and JVM

By the end of this chapter, you will know how to calculate summary statistics and create simple graphs with Joinery. 

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