As third in the series, this book focuses on a style of data analysis that makes graphics central to exploration. Making Sense of Data III explains how to implement decision support systems and provides an interactive approach to data analysis that allows users to see, manipulate, explore, mine data, and share results with colleagues. This book is divided into four parts: Exploring data through design; Design; Architecture; and Applications. It is an essential book for understanding the principal role that graphics play in data visualization.
As third in the series, this book focuses on a style of data analysis that makes graphics central to exploration. Making Sense of Data III explains how to implement decision support systems and provides an interactive approach to data analysis that allows users to see, manipulate, explore, mine data, and share results with colleagues. This book is divided into four parts: Exploring data through design; Design; Architecture; and Applications. It is an essential book for understanding the principal role that graphics play in data visualization.
GLENN J. MYATT, PhD, is cofounder and Chief Scientific Officer of Leadscope, Inc., and a Partner at Myatt & Johnson, Inc. Dr. Myatt is the author of Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining and the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications, both published by Wiley. WAYNE P. JOHNSON, MSc., is cofounder of Leadscope, Inc., and a Partner at Myatt & Johnson, Inc. He has over thirty years of experience in the design and development of large software systems and currently focuses his work on human-computer interaction, information visualization, and methodologies for contextual inquiry. He is the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications, published by Wiley.
Inhaltsangabe
Preface. 1. Introduction. 1.1 Overview. 1.2 Visual Perception. 1.3 Visualization. 1.4 Designing for High-throughput Data Exploration. 1.5 Summary. 1.6 Further reading. 2. The Cognitive and Visual Systems. 2.1 External Representation. 2.2 The Cognitive System. 2.3 Visual Perception. 2.4 Influencing Visual Perception. 2.5 Summary. 2.6 Further reading. 3. Graphic Representations. 3.1 Jacques Bertin: Semiology of Graphics. 3.2 Wilkinson: Grammar of Graphics. 3.3 Wickham: ggplot2. 3.4 Bostock and Heer: Protovis. 3.5 Summary. 3.6 Further reading. 4. Designing Visual Interactions. 4.1 Designing for Complexity. 4.2 The Process of Design. 4.3 Visual Interaction Design. 5. Hands-on: Creating Interactive Visualizations with Protovis. 5.1 Using Protovis. 5.2 Creating Code using the Protovis Graphical Framework. 5.3 Basic Protovis Marks. 5.4 Creating Customized Plots. 5.5 Creating Basic Plots. 5.6 Data Analysis Graphs. 5.7 Composite Plots. 5.8 Interactive Plots. 5.9 Protovis Summary. 5.10 Further Reading. Appendix. A Exercise Code Examples. Bibliography. Index.
