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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

Chapter 2. Dissecting Data Using Mathematica

We will go through a series of lessons in this chapter that will teach us the programming essentials to load, manipulate, and analyze different kinds of data. This will pave the way for the next few chapters on more advanced visualization techniques and tools. It is highly recommended that you try out and play with the code provided in the support section of the book's web page to understand the underlying concepts introduced in this chapter. Mathematica is a rich programming language that provides many functions to achieve miscellaneous tasks. We will only focus on the concepts and functions that are useful for our purpose. These lessons can be considered as a crash course on data manipulation and basic visualization using Mathematica, so buckle up and enjoy the ride!

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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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