INTERACTIVE VISUAL DATA ANALYSIS (AK Peters Visualization Series)

Book Details:

• Publisher: CRC Press

• Author: Christian Tominski

• Language: English

• Edition: 1st Edition

• ISBN: 9780367898755

• Pages: 346

• Cover: Paperback

• Dimensions: 8.4 x 5.5 x 0.8 inches

About the Book:

Interactive Visual Data Analysis by Christian Tominski offers a comprehensive guide to the fusion of visualization, interaction, and automatic computation in the process of analyzing large and complex datasets. In the era of big data, the ability to generate meaningful insights is essential for success. This book presents interactive visual data analysis as a method that leverages the power of visualization to unlock knowledge and facilitate decision-making.

The book systematically covers the essential visual, interactive, and analytical methods used in data analysis. It introduces criteria for designing effective interactive visual data analysis solutions, discussing various factors that influence design choices, and examining the processes involved in each. Through accessible language and a clear structure, the book familiarizes readers with the basics of visual encoding, providing numerous techniques for visualizing multivariate data, temporal data, geo-spatial data, and graph data.

A dedicated chapter is included to explore the general concepts of interacting with visualizations, illustrating how modern interaction technology can enhance the data analysis process. Furthermore, the book dives into automatic analytical computations, highlighting their role in supporting and augmenting visual data analysis. It also explores advanced topics such as visualization in multi-display environments, user guidance during the analysis process, and progressive visual data analysis.

With a top-down perspective, the book presents an accessible and comprehensive exploration of interactive visual data analysis. It is aimed at a broad interdisciplinary audience, from students to seasoned experts and practitioners working in data-intensive fields. Featuring real-world examples and rich illustrations, this book is an invaluable resource for anyone interested in cutting-edge visual analytics technology and methods.