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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 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 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...

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