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Mathematica Data Visualization

You're reading from Mathematica Data Visualization

Product type Book

Published in Sep 2014

Publisher

ISBN-13 9781783282999

Pages 146 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Author (1):

Nazmus Saquib

Table of Contents (12) Chapters

Mathematica Data Visualization

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Visualization as a Tool to Understand Data

2. Dissecting Data Using Mathematica

3. Time Series and Scientific Visualization

4. Statistical and Information Visualization

5. Maps and Aesthetics

Index

Further reading

The Mathematica Journal is a free journal with a wonderful community where experts and intermediate users share their thoughts and tips on programming with Mathematica. Interested readers can access the current and previous volumes in the following link: http://www.mathematica-journal.com/.

Mathematica has loads of functions that are used to manipulate lists. The same goes for the amazing number of options it offers to customize our plots. We will cover some more plots in the upcoming chapters, but we cannot possibly list every feature and function. Our goal is to learn visualization by developing some small projects. An introductory book that introduces Mathematica programming to beginners is Programming with Mathematica by Paul Wellin. The Mathematica documentation is a very good resource to find all the plotting options and their usage. Other useful list-manipulation techniques are also described in several tutorials in the documentation. When in doubt, or if you simply...

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Authors (1)

Nazmus Saquib

Nazmus Saquib is a researcher at the MIT Media Lab in Cambridge, MA, where he works on data visualization, machine learning, and social computing projects. He has a bachelor's degree in Physics and a master's degree in Computational Engineering and Applied Mathematics. Saquib has been programming 3D games since middle school. As a result, he has developed and maintains a keen interest in game engines, graphics, and visualization. Throughout his academic years, he worked on a wide range of research projects, including acoustics, particle physics, augmented reality, social data mining, and uncertainty quantification. Saquib is also interested in the applications of creative computing in education and social welfare.

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