CRC Press Interactive Visual Data Analysis (AK Peters Visualization Series)

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features: Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van Wijk For more information, you can also visit the author , where the book's figures are made available under the CC BY Open Access license. Review "What a joy! A book on Interactive Data Analysis was long overdue! The research community has produced a wealth of knowledge and techniques in the last 20 years that are not necessarily known to students, instructors and practitioners. This knowledge is for the most buried in hard-to-find papers and conference presentations. Tominski and Schumann, acknowledged scholars in the field, arranged brilliantly this whole set of principles, methods, and techniques in an intuitive and easy to read framework. I am looking forward to sharing this book with my colleagues and my students!" --Professor Enrico Bertini, NYU School of Engineering "Christian Tominski and Heidrun Schumann give an excellent, encompassing introduction to concepts and techniques for the visual analysis of data. Their book stands out for its concise, integrated coverage of the main approaches for visual representation of and interaction with data, and automatic data analysis support. The work is very accessible and very well suited for classroom use. It is also an inspiring read for practitioners who wish to apply visual data analysis techniques to solve problems in business, engineering, science, and many other domains." --Professor Tobias Schreck, Institute of Computer Graphics and Knowledge Visualization, Graz University of Technology  "There is something sublime in the interplay between images and interaction. As a long-time student of visualization research, it seems to me that visualization for data analysis only comes into its own when interaction and visuals are seamlessly blended and supported with appropriate computational resources. Tominski and Schumann's Interactive Visual Data Analysis captures the essence of this rich synergy perfectly by showing how modern interactive visual analysis systems can be