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
About the Author
About the Reviewer
Customer Feedback

Conducting the one-way ANOVA test

ANOVA stands for Analysis of Variance. In this recipe, we will see how to use Java to do a one-way ANOVA test to determine whether the means of three or more independent and unrelated sets of data points are significantly different.

How to do it...

  1. Create a method that takes various data distributions. In our example, we will be applying ANOVA on relations of calories, fats, carbohydrates, and control:

            public void calculateAnova(double[] calorie, double[] fat, 
              double[] carb, double[] control){
  2. Create an ArrayList. This ArrayList will contain all the data. The data distributions the method takes as arguments can be seen as classes. Therefore, in our example, we have named them classes:

            List<double[]> classes = new ArrayList<double[]>(); 
  3. Sequentially, add the data from the four classes into ArrayList: