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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 histograms


Histograms are a very popular method of discovering the frequency distribution of a set of continuous data. In a histogram, data scientists usually show the quantitative variable along the x axis and frequency of that variable along the y axis. A few key features of histograms that make it very useful are as follows:

  • Only numerical data can be plotted

  • Huge datasets can easily be plotted

  • The x axis is usually used as bins or intervals of quantitative variables

  • In this recipe, we will see how to plot histograms using GRAL

Getting ready

  1. To use GRAL to plot histograms, 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 to your local disk. Extract the files:

  2. Once you download the Zip file and extract it, you will see a directory structure as follows, where our folder of interest is...

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