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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

Looking forward

Within the short span of this book, we have covered a whole bunch of techniques that should make us confident about working with different kinds of data and visualizing them in Mathematica. We explored the capabilities of Mathematica for data visualization, and now it is time to start building some of your own visualizations too.

In order to tackle big datasets, you will need to know how to use Hadoop, CUDA, or MPI with Mathematica. This is not in the scope of the book, but there are books and tutorials available online that can get you started.

Mathematica is a good tool for creating data visualizations, but there are other widely used tools too. VTK, Processing, and D3.js are a few libraries that you might want to check out. Though they do not provide a single workspace to do the analysis and visualization together (as Mathematica does), they are well known and worth learning.

Good luck with your exciting endeavors in the world of data visualization!

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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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