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

Plotting box plots or whisker diagrams

Box plots are another effective visualization tool for data scientists. They give important descriptive statistics of a data distribution. A typical box plot will contain the following information about a data distribution:

  • Minimum value

  • First quartile

  • Median

  • Third quartile

  • Maximum value

Other values such as inter-quartile range can also be derived from these statistics by getting the difference between the third and first quartiles.

In this recipe, you will be using GRAL to draw box plots for data distributions.

Getting ready

  1. To use GRAL to plot bar charts, we need the example applications provided with the library in the form of Jar files. These example applications can be downloaded from Download the file from the download location into your local disk. Extract the files.

  2. Once you download the ZIP files and extract them, you will see a directory structure as shown in the Getting ready section...