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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 history of visualization deserves a separate book, as it is really fascinating how the field has matured over the centuries, and it is still growing very strongly. Michael Friendly, from York University, published a historical development paper that is freely available online, titled Milestones in History of Data Visualization: A Case Study in Statistical Historiography. This is an entertaining compilation of the history of visualization methods.

The book The Visual Display of Quantitative Information by Edward R. Tufte published by Graphics Press USA, is an excellent resource and a must-read for every data visualization practitioner. This is a classic book on the theory and practice of data graphics and visualization. Since we will not have the space to discuss the theory of visualization, the interested reader can consider reading this book for deeper insights.

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Mathematica Data Visualization

Published in: Sep 2014 Publisher: ISBN-13: 9781783282999

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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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