Book Image

Java Data Science Cookbook

By : Rushdi Shams
Book Image

Java Data Science Cookbook

By: Rushdi Shams

Overview of this book

If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to. This unique book provides modern recipes to solve your common and not-so-common data science-related problems. We start with recipes to help you obtain, clean, index, and search data. Then you will learn a variety of techniques to analyze, learn from, and retrieve information from data. You will also understand how to handle big data, learn deeply from data, and visualize data. Finally, you will work through unique recipes that solve your problems while taking data science to production, writing distributed data science applications, and much more - things that will come in handy at work.
Table of Contents (16 chapters)
Java Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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;...