Data Visualization: Principles and Practice

by Alexandru C. Telea

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.

Genres: Textbooks

460 pages, Hardcover

First published December 4, 2007

Reviews

[Carl]

Excellent, timeless look on data visualization best practices penned long before "Big Data" became a buzzword.

[huydx · Rating 3 out of 5]

this book talk about really low-level principles, guide us through making a data visualization program "from the scratch" (using C++ and OpenGL...). However, that's not what i looking for.