The Grammar of Graphics

Voorkant
Springer Science & Business Media, 15 jul. 2005 - 691 pagina's
3 Recensies
Preface to First Edition Before writing the graphics for SYSTAT in the 1980’s, I began by teaching a seminar in statistical graphics and collecting as many different quantitative graphics as I could find. I was determined to produce a package that could draw every statistical graphic I had ever seen. The structure of the program was a collection of procedures named after the basic graph types they p- duced. The graphics code was roughly one and a half megabytes in size. In the early 1990’s, I redesigned the SYSTAT graphics package using - ject-based technology. I intended to produce a more comprehensive and - namic package. I accomplished this by embedding graphical elements in a tree structure. Rendering graphics was done by walking the tree and editing worked by adding and deleting nodes. The code size fell to under a megabyte. In the late 1990’s, I collaborated with Dan Rope at the Bureau of Labor Statistics and Dan Carr at George Mason University to produce a graphics p- duction library called GPL, this time in Java. Our goal was to develop graphics components. This book was nourished by that project. So far, the GPL code size is under half a megabyte.
 

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Review: The Grammar of Graphics

Gebruikersrecensie  - Andrew - Goodreads

Didn't finish but I would like to come back to this at some point. There is an awful lot going on in this book, and it's funny too. Volledige recensie lezen

Review: The Grammar of Graphics

Gebruikersrecensie  - Brian - Goodreads

Mentioned in metagraph talk at Scipy 2011 Volledige recensie lezen

Geselecteerde pagina's

Inhoudsopgave

Introduction
1
11 Graphics Versus Charts
2
12 ObjectOriented Design
3
13 An ObjectOriented Graphics System
6
14 An Example
8
15 What This Book Is Not
13
16 Background
18
Part 1
21
107 Summary
316
108 Sequel
318
Facets
319
112 Algebra of Facets
320
113 Examples
327
114 Sequel
345
Guides
347
121 Scale Guides
348

How To Make a Pie
23
21 Definitions
25
22 Recipe
31
23 Notation
38
24 Sequel
40
Data
41
31 Data Functions
42
32 Empirical Data
44
33 Abstract Data
48
34 Metadata
51
36 Sequel
54
Variables
55
41 Transforms
56
42 Examples
57
43 Sequel
61
Algebra
63
52 Examples
73
53 Other Algebras
80
54 Sequel
83
Scales
85
62 Scale Transformations
93
63 Sequel
109
Statistics
111
71 Methods
113
72 Examples
123
73 Summary
152
74 Sequel
154
Geometry
155
81 Examples
158
82 Summary
177
83 Sequel
178
Coordinates
179
91 Transformations of the Plane
180
92 Projections onto the Plane
227
93 3D Coordinate Systems
244
94 HighDimensional Spaces
248
95 Tools and Coordinates
253
96 Sequel
254
Aesthetics
255
101 Continuous Scales
256
102 Categorical Scales
261
103 Dimensions
265
104 Realism
270
105 Aesthetic Attributes
274
106 Examples
293
122 Annotation Guides
352
123 Sequel
356
Semantics
357
Space
359
131 Mathematical Space
363
132 Psychological Space
378
133 Graphing Space
381
134 Sequel
405
Time
407
141 Mathematics of Time
408
142 Psychology of Time
424
143 Graphing Time
427
144 Sequel
449
Uncertainty
451
752 Psychology of Uncertainty
466
153 Graphing Uncertainty
468
154 Sequel
488
Analysis
489
161 Variance Analysis
490
162 Shape Analysis
496
163 Graph Drawing
500
164 Sequence Analysis
505
165 Pattern Analysis
517
166 Sequel
533
Control
535
772 Exploring
552
173 Sequel
577
Automation
579
181 Graphics Production Language
580
182 Visualization Markup Language
589
183 Summary
608
184 Sequel
609
Reader
611
191 The Problem
612
192 A Psychological Reader Model
614
193 A Graphics Grammar Reader Model
617
194 Research
622
Coda
623
202 Monarch Butterfly Migration
629
203 Conclusion
632
204 Sequel
634
References
635
Author Index
673
Subject Index
681
Copyright

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