Data Visualization: Principles and Practice

by Alexandru C. Telea (Author)

3 ratings

ISBN-13: 978-1568813066

ISBN-10: 1568813066

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Data Visualization: Principles and Practice, Second Edition
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The goal of data visualization is to use images to improve our understanding of a dataset, drawing on techniques from mathematics, computer science, cognitive and perception science, and physics. In this introductory text, the author provides a compact introduction to the field that allows readers to learn about visualization techniques. The material focuses on those techniques and methods that have a broad applicability in visualization applications, occur in most practical problems in various guises, and do not demand a specialized background to be understood. However, the author has also included a number of less mainstream visualization techniques. With these methods, the book gives the reader an idea of the large variety of applications of data visualizations, illustrates the wide range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics.

Editorial Reviews

Review

" ""An excellent reference for any advanced, college-level holding strong in computer graphics or data visualization techniques."" -The Midwest Book Review, April 2008
""For advanced undergraduate or early graduate students of computer science, mathematics, and engineering sciences, Telea introduces the principles of data visualization as it is practiced in such realms as signal theory, imaging, computer graphics, and statistics."" -BOOK NEWS Inc., June 2008"

About the Author

Alexandru C. Telea is Assistant Professor of Visualization and Computer Graphics at the Department of Computer Science of the Eindhoven University of Technology in The Netherlands. Since 2000 he has been working at the crossroads of data and information visualization, computer graphics, and software engineering. His recent research focus is software visualization, where he is working on techniques and tools that combine new parsing, interaction and rendering techniques to provide insight in industrial software projects of multimillion lines of code. He has co-authored over 80 scientific papers in national and international journals and conferences.

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Product details

Publisher ‏ : ‎ A K Peters/CRC Press (December 4, 2007)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 460 pages
ISBN-10 ‏ : ‎ 1568813066
ISBN-13 ‏ : ‎ 978-1568813066
Item Weight ‏ : ‎ 2.05 pounds
Dimensions ‏ : ‎ 6 x 1 x 9 inches

Best Sellers Rank: #2,642,197 in Books (See Top 100 in Books)
- #570 in Graph Theory (Books)
- #2,248 in Computer Graphics
- #2,997 in Graphics & Multimedia Programming

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Top review from the United States

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Lidia López

Four Stars

Reviewed in the United States on February 7, 2017

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Tradicional and good presentation about data visualization, with the necessary upgrades

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Top reviews from other countries

Tony W.

Very niche book, not practical for data analysis

Reviewed in Canada on September 7, 2021

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This book mainly focuses on how visualizations are generated (mathematical theory and computational algorithms). The math in this book is at a level where people with some multivariable calculus and linear algebra can likely understand it, so I would put this as being a useful starting reference for good for most computer scientists and programmers looking to learn imaging techniques. However, having had this book for 2 years, I can safely say that I do not recommend this for anyone looking for a guide on how to make graphics informative and compelling.

There is simply not enough information in this book on what it means to design a visualization that presents data in a clear and objective way (e.g. color palettes for accessibility, axis scales that minimize distortions in graphs, choosing visualizations to present statistical trends honestly and accurately, etc.) for me to see this book as a good reference for general data analysis. Ultimately this book is much more “principle” and much less “practice” than I expected.

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