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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
Languages
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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

Plotting area graphs


Area graphs are useful tools to display how quantitative values develop over a given interval. For data scientists, they are an effective means of understanding trends. They are based on line graphs, but the area beneath the line drawn based on the values in the axes is filled with a certain color or texture. In this recipe, you will be using the GRAL Java library to plot area graphs.

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 http://trac.erichseifert.de/gral/wiki/Download. Download the gral-examples-0.10.zip file from the download location into your local disk. Extract the files.

  2. Then you will see a directory structure as 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...

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