The grammar of graphics /

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Bibliographic Details
Author / Creator:	Wilkinson, Leland.
Edition:	2nd ed.
Imprint:	New York : Springer, 2005.
Description:	xviii, 690 pages : illustrations (some color) ; 24 cm.
Language:	English
Series:	Statistics and computing Statistics and computing.
Subject:	Statistics -- Graphic methods -- Data processing. Statistics -- Graphic methods -- Data processing.
Format:	Print Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/5710334

Hidden Bibliographic Details
Other authors / contributors:	Wills, Graham, 1939-
ISBN:	0387245448 9780387245447
Notes:	Includes bibliographical references (pages 635-671) and indexes.
Summary:	"This book was written for statisticians, computer scientists, geographers, researchers, and others interested in visualizing data. It presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. While the tangible results of this work have been several visualization software libraries, this book focuses on the deep structures involved in producing quantitative graphics from data. What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? Those less interested in the theoretical and mathematical foundations can still get a sense of the richness and structure of the system by examining the numerous and often unique color graphics it can produce. The second edition is almost twice the size of the original, with six new chapters and substantial revision. Much of the added material makes this book suitable for survey courses in visualization and statistical graphics."--Jacket.

Table of Contents:

Preface
1. Introduction
1.1. Graphics Versus Charts
1.2. Object-Oriented Design
1.3. An Object-Oriented Graphics System
1.4. An Example
1.5. What This Book Is Not
1.6. Background
1.7. Sequel
Part I.
2. How To Make a Pie
2.1. Definitions
2.2. Recipe
2.3. Notation
2.4. Sequel
3. Data
3.1. Data Functions
3.2. Empirical Data
3.3. Abstract Data
3.4. Metadata
3.5. Data Mining
3.6. Sequel
4. Variables
4.1. Transforms
4.2. Examples
4.3. Sequel
5. Algebra
5.1. Syntax
5.2. Examples
5.3. Other Algebras
5.4. Sequel
6. Scales
6.1. Scaling Theory
6.2. Scale Transformations
6.3. Sequel
7. Statistics
7.1. Methods
7.2. Examples
7.3. Summary
7.4. Sequel
8. Geometry
8.1. Examples
8.2. Summary
8.3. Sequel
9. Coordinates
9.1. Transformations of the Plane
9.2. Projections onto the Plane
9.3. 3D Coordinate Systems
9.4. High-Dimensional Spaces
9.5. Tools and Coordinates
9.6. Sequel
10. Aesthetics
10.1. Continuous Scales
10.2. Categorical Scales
10.3. Dimensions
10.4. Realism
10.5. Aesthetic Attributes
10.6. Examples
10.7. Summary
10.8. Sequel
11. Facets
11.1. Facet Specification
11.2. Algebra of Facets
11.3. Examples
11.4. Sequel
12. Guides
12.1. Scale Guides
12.2. Annotation Guides
12.3. Sequel
Part 2.
13. Space
13.1. Mathematical Space
13.2. Psychological Space
13.3. Graphing Space
13.4. Sequel
14. Time
14.1. Mathematics of Time
14.2. Psychology of Time
14.3. Graphing Time
14.4. Sequel
15. Uncertainty
15.1. Mathematics of Uncertainty
15.2. Psychology of Uncertainty
15.3. Graphing Uncertainty
15.4. Sequel
16. Analysis
16.1. Variance Analysis
16.2. Shape Analysis
16.3. Graph Drawing
16.4. Sequence Analysis
16.5. Pattern Analysis
16.6. Sequel
17. Control
17.1. Building
17.2. Exploring
17.3. Sequel
18. Automation
18.1. Graphics Production Language
18.2. Visualization Markup Language
18.3. Summary
18.4. Sequel
19. Reader
19.1. The Problem
19.2. A Psychological Reader Model
19.3. A Graphics Grammar Reader Model
19.4. Research
19.5. Sequel
20. Coda
20.1. Napoleon's March
20.2. Monarch Butterfly Migration
20.3. Conclusion
20.4. Sequel
References
Author Index

The grammar of graphics /

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