Making Sense of Data III

Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations

Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is extracted. Additionally, the book describes the best approach for designing and implementing interactive graphics and visualizations that play a central role in data exploration and decision-support systems. Beginning with an introduction to visual perception, Making Sense of Data III features a brief history on the use of visualization in data exploration and an outline of the design process. Subsequent chapters explore the following key areas: Cognitive and Visual Systems describes how various drawings, maps, and diagrams known as external representations are understood and used to extend the mind’s capabilities Graphics Representations introduces semiotic theory and discusses the seminal work of cartographer Jacques Bertin and the grammar of graphics as developed by Leland Wilkinson Designing Visual Interactions discusses the four stages of design process—analysis, design, prototyping, and evaluation—and covers the important principles and strategies for designing visual interfaces, information visualizations, and data graphics Hands-on: Creative Interactive Visualizations with Protovis provides an in-depth explanation of the capabilities of the Protovis toolkit and leads readers through the creation of a series of visualizations and graphics The final chapter includes step-by-step examples that illustrate the implementation of the discussed methods, and a series of exercises are provided to assist in learning the Protovis language. A related website features the source code for the presented software as well as examples and solutions for select exercises. Featuring research in psychology, vision science, statistics, and interaction design, Making Sense of Data III is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for computational statisticians, software engineers, researchers, and professionals of any discipline who would like to understand how the mind processes graphical representations.

Author Biography

GLENN J. MYATT, PhD, is cofounder and Chief Scientific Officerof Leadscope, Inc., and a Partner at Myatt & Johnson, Inc. Dr.Myatt is the author of Making Sense of Data: A Practical Guide toExploratory Data Analysis and Data Mining and the coauthor ofMaking Sense of Data II: A Practical Guide to Data Visualization,Advanced Data Mining Methods, and Applications, both published byWiley. WAYNE P. JOHNSON, MSc., is cofounder of Leadscope, Inc., and aPartner at Myatt & Johnson, Inc. He has over thirty years ofexperience in the design and development of large software systemsand currently focuses his work on human computer interaction,information visualization, and methodologies for contextualinquiry. He is the coauthor of Making Sense of Data II: A PracticalGuide to Data Visualization, Advanced Data Mining Methods, andApplications, published by Wiley.