Systematic top-down view on visualization, interaction, and automatic analysis enables structured understanding of data analysis processes
Broad coverage of fundamental and advanced visualization techniques provides a complete reference for diverse data types
Comprehensive chapter on interacting with visualizations introduces modern interaction technologies for enhanced user experience
Extensive integration of automatic computational methods supports efficient data analysis workflows
Accessible portrayal of cutting-edge visual analytics technology makes it suitable for interdisciplinary readers
Summarized by Shop
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.