Free Chapter | Interactive Visual Data Analysis
By Christian Tominski, Heidrun Schumann
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 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.
Instructors are encouraged to request a complimentary e-inspection copy: https://www.routledge.com/textbooks/evaluation/9780367898755.