Interactive Data Visualization ─ Foundations, Techniques, and Applications

This revised textbook describes the foundations of visualization techniques, tools, and systems, including mathematical and analytical aspects, human visual perception, algorithms for different types of data, and the design and evaluation of new visualization techniques. It is supported by in-text exercises and projects as well as online working examples, sample programs, data sets, and a revised set of slides for instructor use. The new edition includes new exercises and projects for each chapter, an added chapter on temporal visualization, and fully updated material on the latest tools and systems, including D3, Tableau, and Prefuse.

Matthew O. Ward was a professor in the Department of Computer Science at Worcester Polytechnic Institute. Dr. Ward’s research focused on computer graphics, animation, image processing, computer vision, and data and information visualization.

Georges Grinstein is a professor in the Department of Computer Science and director of both the Institute for Visualization and Perception Research and the Center for Biomolecular and Medical Informatics at the University of Massachusetts Lowell. Dr. Grinstein’s research encompasses visual analytics, human computing, perceptual computing, information computing, and visualization systems engineering.

Daniel Keim is a professor in the Department of Computer and Information Science and head of the Data Analysis and Visualization group at the University of Konstanz. Dr. Keim’s research interests include databases, data mining, information visualization, and visual analytics.