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E-raamat: Making Sense of Data III: A Practical Guide to Des igning Interactive Data Visualizations: A Practical Guide to Designing Interactive Data Visualizations [Wiley Online]

(Leadscope, Inc.), (Leadscope, Inc.)
  • Formaat: 408 pages, Graphs: 150 B&W, 0 Color
  • Ilmumisaeg: 25-Nov-2011
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1118121619
  • ISBN-13: 9781118121610
  • Wiley Online
  • Hind: 109,96 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Formaat: 408 pages, Graphs: 150 B&W, 0 Color
  • Ilmumisaeg: 25-Nov-2011
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1118121619
  • ISBN-13: 9781118121610
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 processanalysis, design, prototyping, and evaluationand 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.
Preface ix
Acknowledgments xiii
1 Introduction
1(19)
1.1 Overview
1(1)
1.2 Visual Perception
2(3)
1.3 Visualization
5(4)
1.4 Designing for High-Throughput Data Exploration
9(9)
1.4.1 The IA (Intelligence Amplified) System
9(1)
1.4.2 Design
10(5)
1.4.3 Data
15(3)
1.5 Summary
18(1)
1.6 Further Reading
18(2)
2 The Cognitive and Visual Systems
20(45)
2.1 External Representations
21(3)
2.2 The Cognitive System
24(5)
2.2.1 The Matter of Thought
25(3)
2.2.2 Mental Processes and Internal Representations
28(1)
2.3 Visual Perception
29(24)
2.3.1 The Problem of Scene Recognition
30(1)
2.3.2 Levels of Explanation
30(1)
2.3.3 Illuminating the Environment
31(1)
2.3.4 The Eye and Visual Pathways
32(4)
2.3.5 Processing the Retinal Image
36(9)
2.3.6 Color
45(8)
2.4 Influencing Visual Perception
53(9)
2.4.1 Eye Movements
54(2)
2.4.2 Attention
56(4)
2.4.3 Memory
60(2)
2.5 Summary
62(1)
2.6 Further Reading
63(2)
3 Graphic Representations
65(39)
3.1 Jacques Bertin: Semiology of Graphics
66(20)
3.1.1 The Essence of Semiotics
66(5)
3.1.2 The Properties and Structure of the Information
71(4)
3.1.3 The Properties of the Graphics System
75(7)
3.1.4 Constructing Efficient Graphics
82(4)
3.2 Wilkinson: Grammar of Graphics
86(10)
3.2.1 The Graphic Pipeline
87(1)
3.2.2 The Graphic Specification
88(3)
3.2.3 Components of the Grammar
91(5)
3.3 Wickham: ggplot2
96(5)
3.3.1 The Graphic Pipeline
97(1)
3.3.2 The Graphic Specification and Components
98(3)
3.4 Bostock and Heer: Protovis
101(1)
3.5 Summary
102(1)
3.6 Further Reading
103(1)
4 Designing Visual Interactions
104(42)
4.1 Designing for Complexity
104(3)
4.2 The Process of Design
107(14)
4.2.1 Analyze
110(4)
4.2.2 Design
114(6)
4.2.3 Prototype
120(1)
4.2.4 Evaluate
121(1)
4.3 Visual Interaction Design
121(22)
4.3.1 Visual Interfaces
123(8)
4.3.2 Visualizations
131(6)
4.3.3 Graphics
137(5)
4.3.4 Real-Time Constraints
142(1)
4.4 Summary
143(1)
4.5 Further Reading
144(2)
5 Hands-On: Creating Interactive Visualizations with Protovis
146(131)
5.1 Using Protovis
146(5)
5.1.1 Overview
146(1)
5.1.2 Getting Started
147(3)
5.1.3
Chapter Overview
150(1)
5.1.4 Exercise
151(1)
5.2 Creating Code Using the Protovis Graphical Framework
151(12)
5.2.1 Overview
151(1)
5.2.2 Panels
152(2)
5.2.3 Marks
154(3)
5.2.4 Using Functions
157(3)
5.2.5 Variables
160(2)
5.2.6 Exercises
162(1)
5.3 Basic Protovis Marks
163(24)
5.3.1 Bar
163(3)
5.3.2 Label
166(5)
5.3.3 Dot
171(3)
5.3.4 Line
174(3)
5.3.5 Area
177(4)
5.3.6 Wedge
181(3)
5.3.7 Images
184(2)
5.3.8 Exercises
186(1)
5.4 Creating Customized Plots
187(24)
5.4.1 Colors
187(4)
5.4.2 Formatting
191(3)
5.4.3 Anchors
194(4)
5.4.4 Rule
198(2)
5.4.5 Scales
200(10)
5.4.6 Exercises
210(1)
5.5 Creating Basic Plots
211(12)
5.5.1 Overview
211(1)
5.5.2 Handling Arrays and Data
211(1)
5.5.3 Reading Data from Files
212(2)
5.5.4 Worked Examples
214(8)
5.5.5 Exercises
222(1)
5.6 Data Graphics
223(14)
5.6.1 Frequency Histograms
223(5)
5.6.2 Box-and-Whisker Plots
228(4)
5.6.3 Scatterplots
232(3)
5.6.4 Exercises
235(2)
5.7 Composite Plots
237(26)
5.7.1 Creating Grouped Plots Using Multiple Panels
237(1)
5.7.2 Inheritance
238(2)
5.7.3 Property Chaining
240(2)
5.7.4 Creating Plot Matrices Using Multiple Panels
242(11)
5.7.5 Layout Management
253(1)
5.7.6 Networks
254(3)
5.7.7 Hierarchies
257(3)
5.7.8 Sparklines
260(2)
5.7.9 Exercises
262(1)
5.8 Interactive Plots
263(10)
5.8.1 Overview
263(1)
5.8.2 Tooltips
263(1)
5.8.3 Hyperlinks
264(2)
5.8.4 Local Variables and Events
266(1)
5.8.5 Behavior
267(4)
5.8.6 Exercises
271(2)
5.9 Protovis Summary
273(2)
5.10 Further Reading
275(2)
Appendix A Exercise Code Examples 277(84)
Bibliography 361(4)
Index 365
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.