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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

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787122536

Length 372 pages

Edition 1st Edition

Languages

Java

Tools

Weka

Concepts

Data Analysis

Author (1):

Rushdi Shams

View More author details

Table of Contents (10) Chapters

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

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.
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.
Inside lib, you will find three Jar files: gral-core-0.10, gral-examples-0.10,...

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Authors (1)

Shams

Shams

Rushdi Shams has a Ph.D. on Application of machine learning in Natural Language Processing (NLP) problem areas from Western University, Canada. Before starting work as a machine learning and NLP specialist in the industry, he was engaged in teaching undergrad and grad courses. He has been successfully maintaining his YouTube channel named "Learn with Rushdi" for learning computer technologies.

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