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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
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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 a bar chart


Bar plots are the most common graph types used by data scientists. It is simple to draw a bar chart using GRAL. In this recipe, we will be using GRAL to plot the following bar chart:

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. Once you download the ZIP files, and extract them, you will see a directory structure as shown in the Getting ready section of the Plotting a 2D sine graph recipe, where our folder of interest is the lib folder.

  3. Inside the lib folder, 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 JAR files in your project as external...

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