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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
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Author (1):
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Rushdi Shams Rushdi Shams
Author Profile Icon Rushdi Shams
Rushdi Shams
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Toc

Table of Contents (10) Chapters Close

Preface 1. Obtaining and Cleaning Data FREE CHAPTER 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 descriptive statistics


Descriptive statistics are used to summarize a sample and are not generally developed based on probability theories. In contrast, inferential statistics are mostly used to draw a conclusion about the population from a representative sample of it. In this recipe, we will see how we can use Java to generate descriptive statistics from small samples.

Without broadening the scope of this recipe too much, we will be focusing only on a subset of descriptive statistics listed here.

How to do it...

  1. Create a method that takes a double array as argument. The array will contain the values for which you are going to compute the descriptive statistics:

            public void getDescStats(double[] values){ 
    
  2. Create an object of the DescriptiveStatistics type:

            DescriptiveStatistics stats = new DescriptiveStatistics(); 
    
  3. Loop through all the values of the double array, and add them to the DescriptiveStatistic object:

            for( int i = 0; i < values.length;...
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