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Java Data Science Cookbook

You're reading from  Java Data Science Cookbook

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Pages 372 pages
Edition 1st Edition
Languages
Author (1):
Rushdi Shams Rushdi Shams
Profile icon Rushdi Shams
Toc

Table of Contents (16) Chapters close

Java Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Obtaining and Cleaning Data 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

Generating summary statistics from multiple distributions


In this recipe, we will be creating an AggregateSummaryStatistics instance to accumulate the overall statistics and SummaryStatistics for the sample data.

How to do it...

  1. Create a method that takes two double array arguments. Each array will contain two different sets of data:

            public void getAggregateStats(double[] values1, double[] 
              values2){ 
    
  2. Create an object of class AggregateSummaryStatistics:

            AggregateSummaryStatistics aggregate = new  
            AggregateSummaryStatistics(); 
    
  3. To generate summary statistics from the two distributions, create two objects of the SummaryStatistics class:

            SummaryStatistics firstSet = 
              aggregate.createContributingStatistics(); 
            SummaryStatistics secondSet = 
              aggregate.createContributingStatistics(); 
    
  4. Add the values of the two distributions in the two objects created in the preceding step:

            for(int...
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