Glenn J.Myatt, Wayne P.Johnson – Making Sense of Data III – A Practical Guide to Designing Interactive Data Visualizations

Description

 

Focuses on insights, approaches, and methods which can be important to designing interactive graphics and visualizations

Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a various vary of disciplines to clarify how which means from graphical representations is extracted. Additionally, the e book describes the perfect method for designing and implementing interactive graphics and visualizations that play a central position in information exploration and decision-support programs.

Beginning with an introduction to visible notion, Making Sense of Data III encompasses a transient historical past on the use of visualization in information exploration and a top level view of the design course of. Subsequent chapters discover the next key areas:

• Cognitive and Visual Systems describes how numerous drawings, maps, and diagrams referred to as exterior representations are understood and used to prolong the thoughts’s capabilities
• Graphics Representations introduces semiotic principle and discusses the seminal work of cartographer Jacques Bertin and the grammar of graphics as developed by Leland Wilkinson
• Designing Visual Interactions discusses the 4 levels of design course of—evaluation, design, prototyping, and analysis—and covers the essential ideas and methods for designing visible interfaces, info visualizations, and information graphics
• Hands-on: Creative Interactive Visualizations with Protovis gives an in-depth rationalization of the capabilities of the Protovis toolkit and leads readers by way of the creation of a sequence of visualizations and graphics

The remaining chapter contains step-by-step examples that illustrate the implementation of the mentioned strategies, and a sequence of workout routines are supplied to help in studying the Protovis language. A associated web site options the supply code for the introduced software program in addition to examples and options for choose workout routines.

Featuring analysis in psychology, imaginative and prescient science, statistics, and interplay design, Making Sense of Data III is an indispensable e book for programs on information evaluation and information mining on the upper-undergraduate and graduate ranges. The e book additionally serves as a useful reference for computational statisticians, software program engineers, researchers, and professionals of any self-discipline who would really like to perceive how the thoughts processes graphical representations.

Table of Contents

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 studying.

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 studying.

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 studying.

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 utilizing 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.

Author Information

GLENN J. MYATT, PhD, is cofounder and Chief Scientific Officer of Leadscope, Inc., and a Partner at Myatt & Johnson, Inc. Dr. Myatt is the creator 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, each printed by Wiley.

WAYNE P. JOHNSON, MSc., is cofounder of Leadscope, Inc., and a Partner at Myatt & Johnson, Inc. He has over thirty years of expertise within the design and growth of giant software program programs and presently focuses his work on human–laptop interplay, info 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, printed by Wiley.