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 scatter plots

This recipe demonstrates how to use GRAL to draw scatter plots for 100,000 random data points. Scatter plots use both the x and y axes to plot data points and are a good means to demonstrate the correlation between variables.

Getting ready

  1. To use GRAL for plotting 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've downloaded the ZIP files and extracted them, you will see a directory structure as shown in the Getting ready section of the Plotting a 2D sine graph recipe. Our folder of interest is the lib folder.

  3. Inside lib, you will find three Jar files: gral-core-0.10, gral-examples-0.10, and VectorGraphics2D-0.9.1. In this recipe, you will be using the first two of the aforementioned Jar files.

  4. Include these two...