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E-raamat: Visualizing with Text [Taylor & Francis e-raamat]

  • Formaat: 268 pages, 84 Halftones, color; 146 Illustrations, color
  • Sari: AK Peters Visualization Series
  • Ilmumisaeg: 02-Nov-2020
  • Kirjastus: CRC Press
  • ISBN-13: 9780429290565
Teised raamatud teemal:
  • Taylor & Francis e-raamat
  • Hind: 184,65 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 263,78 €
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Visualizing with TextSuurem pilt
  • Formaat: 268 pages, 84 Halftones, color; 146 Illustrations, color
  • Sari: AK Peters Visualization Series
  • Ilmumisaeg: 02-Nov-2020
  • Kirjastus: CRC Press
  • ISBN-13: 9780429290565
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9780429290565
Visualizing with Text uncovers the rich palette of text elements usable in visualizations from simple labels through to documents. Using a multidisciplinary research effort spanning across fields including visualization, typography, and cartography, it builds a solid foundation for the design space of text in visualization. The book illustrates many new kinds of visualizations, including microtext lines, skim formatting, and typographic sets that solve some of the shortcomings of well-known visualization techniques.

Key features:











More than 240 illustrations to aid inspiration of new visualizations





Eight new approaches to data visualization leveraging text





Quick reference guide for visualization with text





Builds a solid foundation extending current visualization theory





Bridges between visualization, typography, text analytics, and natural language processing

The author website, including teaching exercises and interactive demos and code, can be found here. Designers, developers, and academics can use this book as a reference and inspiration for new approaches to visualization in any application that uses text.
List of Figures and Credits
xvii
Foreword xxiii
Preface xxvii
About the Author xxix
PART I Defining Text Elements
Chapter 1 Why Visualize with Text?
3(24)
1.1 Why Text?
3(1)
1.2 500 Years Of Pushing Text Out Of Visualizations
4(6)
1.3 (Re)Learning From History
10(16)
1.3.1 Cartography
10(1)
1.3.2 Typography
11(2)
1.3.3 Tables
13(1)
1.3.4 Science Classification and Notation
14(4)
1.3.5 Code Editors
18(1)
1.3.6 Alphanumeric Charts
19(1)
1.3.7 Art and Poetry
20(1)
1.3.8 Graphic Design and Advertising
20(2)
1.3.9 Comics
22(1)
1.3.10 Post-Modern Text
23(1)
1.3.11 Data Visualization
24(2)
1.4 Further Reading
26(1)
Chapter 2 The Design Space of Visualization with Text
27(16)
2.1 Is Text Visualization?
27(4)
2.1.1 Visualization as Visual Patterns
28(2)
2.1.2 Visualization as Organized Inventory
30(1)
2.1.3 Visualization as Communication
31(1)
2.2 Visualization Design Space Today
31(5)
2.2.1 Visualization Anatomy
31(1)
2.2.2 Visualization Encoding
31(5)
2.3 Preprocessing Text For The Visualization Pipeline
36(1)
2.4 Deriving A Visualization Pipeline For Text
37(3)
2.5 Further Reading
40(3)
Chapter 3 Characterizing Text
43(36)
3.1 Literal Data
43(6)
3.1.1 Functional Benefits: The Data Contains Text
44(1)
3.1.2 Perceptual Benefits: Fast, Efficient Access to Detail
44(3)
3.1.3 Cognitive Benefits: Reasoning Aid
47(1)
3.1.4 Language Constraints
48(1)
3.2 Typographic Attributes
49(13)
3.2.1 Alphanumeric Glyphs (i.e. Letters and Numbers)
50(1)
3.2.2 Symbols and Paired Delimiters
51(1)
3.2.3 Weight (and Bold)
52(1)
3.2.4 Oblique Angle (and Italic)
53(1)
3.2.5 Underlines
54(1)
3.2.6 Case (Upper, Lower, Small Caps, and Proper)
55(1)
3.2.7 Width (Condensed/Expanded, Scaling, and Spacing)
56(1)
3.2.8 Typeface (i.e. Font)
57(2)
3.2.9 Low-Level Font Parameters: X-Height, Contrast, Stress, Serif Types, etc.
59(2)
3.2.10 Shifting Baseline and Text on a Path
61(1)
3.3 Non-Type Visual Attributes
62(5)
3.3.1 Size
63(1)
3.3.2 Rotation
64(1)
3.3.3 Fill Color
64(1)
3.3.4 Outline and Outline Color
64(1)
3.3.5 Gradients or Drop-Shadows
65(1)
3.3.6 Superimposition and Contrast
66(1)
3.3.7 Distortion and Extrusion
66(1)
3.3.8 3D Orientation
66(1)
3.3.9 Motion
67(1)
3.3.10 More: Texture, Blur, Transparency, Etc.
67(1)
3.4 Marks And Text Scope
67(4)
3.4.1 Point Marks: Characters, Codes, Syllables, and Words
68(1)
3.4.2 Line Marks: Phrases and Sentences
69(1)
3.4.3 Area Marks: Paragraphs and
Chapters
69(2)
3.4.4 Readability of Text
71(1)
3.5 Text Layouts: Prose, Tables, And Lists
71(3)
3.5.1 Prose
71(1)
3.5.2 Tables
72(1)
3.5.3 Lists and Indices
73(1)
3.6 Text Interactions
74(2)
3.7 Text Characterization For Visualization Design Summary
76(1)
3.8 Further Reading
77(2)
Chapter 4 Using the Design Space
79(18)
4.1 Structured Data And Bertin's Permutations
80(2)
4.2 Unstructured Data Analysis And NLP
82(3)
4.3 Multiple Attributes
85(1)
4.4 Roles For Text In Visualizations
86(4)
4.5 Visualization Business Opportunities
90(3)
4.6 Further Reading
93(4)
PART II Labels
Chapter 5 Point Labels
97(14)
5.1 Labels As Point Marks
97(1)
5.2 Reading Is Faster Than Interacting
97(2)
5.3 Codes As Labels
99(3)
5.4 Full Labels
102(2)
5.5 Group Labels And Very Long Labels
104(2)
5.6 Many Labels And Long Labels
106(2)
5.7 Massive Data, Labels, And Zoom
108(2)
5.8 Further Reading
110(1)
Chapter 6 Distributions
111(20)
6.1 Highlighting Values In Stem And Leaf Plots
112(1)
6.2 Literal Leaves
113(3)
6.2.1 Literal Leaves Showing Alphanumeric Codes
113(1)
6.2.2 Literal Leaves Showing Words and Phrases
114(2)
6.3 Literal Stems And Literal Leaves
116(5)
6.3.1 Literal Stems and Leaves with Codes
116(2)
6.3.2 Literal Stems and Leaves with Words
118(2)
6.3.3 Literal Stems and Leaves with Phrases
120(1)
6.4 Stems And Leaf Hierarchies And Graphs
121(4)
6.4.1 Simple Stems and Leaf Hierarchy
121(1)
6.4.2 Stems and Leaf Graph
122(2)
6.4.3 Stems and Leaf Hierarchies on a Corpus
124(1)
6.5 Stems And Leaf Interactions
125(5)
6.6 Further Reading
130(1)
Chapter 7 Microtext Lines
131(18)
7.1 Text On Paths
131(1)
7.2 The Need To Visualize Many Timeseries
132(11)
7.2.1 Line Charts with Many Lines
135(3)
7.2.2 Microtext and River Labels with Many Lines
138(2)
7.2.3 Do Microtext Lines Work?
140(1)
7.2.4 Interactive Microtext Line Charts
141(2)
7.3 Microtext Applied To Other Visualization Layouts
143(1)
7.4 Further Reading
144(5)
PART III Formats
Chapter 8 Sets and Categories
149(26)
8.1 Challenges Visualizing Multiple Categories
149(2)
8.2 Indicating Set Membership With Text
151(2)
8.3 Typographic Venn And Euler Diagrams
153(3)
8.4 Typographic Graphs
156(5)
8.5 Typographic Scatterplots
161(1)
8.6 Typographic Mosaic Plots
162(3)
8.7 Typographic Bar Charts With Stacked Labels
165(3)
8.8 Handling Many Categories
168(4)
8.8.1 Many Different Visual Attributes
168(3)
8.8.2 Visual Attributes Applied to Individual Characters
171(1)
8.8.3 Decoding vs. Noticing a Difference
171(1)
8.8.4 Going Further
172(1)
8.9 Further Reading
172(3)
Chapter 9 Maps and Ordered Data
175(14)
9.1 Problems With Thematic Maps
176(1)
9.2 Typographic Thematic Map With A Single Ordered Variable
177(2)
9.3 Multi-Variate Typographic Thematic Maps
179(1)
9.4 Handling Long Labels
180(1)
9.5 Scaling To Thousands Of Labels
180(1)
9.6 Non-Distorted Typographic Maps
181(1)
9.7 Typographic Scope: Paragraphs And Glyphs
181(3)
9.8 Do Typographic Thematic Maps Work?
184(2)
9.9 Typographic Ordering With Other Attributes And Layouts
186(1)
9.10 Further Reading
187(2)
Chapter 10 Ratios and Quantitative Data
189(22)
10.1 Quantitative Data
189(1)
10.2 Proportions Along A String (Bar Charts With Long Labels)
190(14)
10.2.1 Proportions along Words and Phrases
190(1)
10.2.2 Proportions along Lines of Text
191(1)
10.2.3 Proportions to Indicate Ranges
191(1)
10.2.4 Proportions, Distributions, and Areas
192(4)
10.2.5 Proportions in Paragraphs
196(4)
10.2.6 Stacked Proportions
200(1)
10.2.7 Multiple Proportions
200(3)
10.2.8 Semantic Proportions and Expressive Text
203(1)
10.3 Positions Along A String
204(1)
10.4 Caveats, Issues, And Limitations
205(6)
PART IV Text Layouts
Chapter 11 Prose and Prosody
211(10)
11.1 Enhanced Reading
211(1)
11.2 Skim Formatting
212(6)
11.3 Formatting Letters For Pronunciation, Spelling, And Prosody
218(2)
11.4 Further Reading
220(1)
Chapter 12 Sparkwords
221(18)
12.1 Historic Precedent For Sparkwords
221(1)
12.2 Sparkwords Defined
222(1)
12.3 Sparkwords In Narrative
222(8)
12.3.1 Categoric Sparkwords
222(1)
12.3.2 Ordered Sparkwords
223(5)
12.3.3 Quantitative Sparkwords
228(2)
12.4 Sparkwords In Lists
230(1)
12.5 Sparkwords In Tables
230(7)
12.5.1 Orders Of Magnitude
230(3)
12.5.2 Tables With Data Added Into Typographic Formats
233(4)
12.6 Further Reading
237(2)
Chapter 13 Opportunity and Checklist
239(10)
13.1 Validation
242(1)
13.2 Checklist
242(7)
13.2.1 Language
242(1)
13.2.2 Legibility
243(1)
13.2.3 Alphanumeric Codes
244(1)
13.2.4 Formats
244(1)
13.2.5 Long Labels
245(1)
13.2.6 Layout Challenges
246(1)
13.2.7 Typeface
246(1)
13.2.8 Interactions
247(1)
13.2.9 More
247(2)
Chapter 14 References
249(14)
14.1 Acknowledgments
249(1)
14.2 Peer-Reviewed Research
249(3)
Bibliography
252(11)
Index 263
Richard Brath has been actively involved in the research, design, and development of data visualization and visual analytics since 1990. His research interests include exploration of the boundaries of visualization such as this book regarding text and visualization as well as graph visualization, automated insights, 3D, spreadsheets, aesthetics, and machine learning. From a commercial perspective, Richard focuses on the creation of unique, innovative visualizations that are in use by hundreds of thousands of users. Richard originally acquired a degree in architecture and worked in industrial design, special effects, and 3D animation. With the opportunity to solve business challenges with interactive computer graphics, Richard switched to visualization, creating one of the first interactive 3D financial visualizations on the web (1996). Richard is a partner at Uncharted Software, where his team creates a wide variety of visualizations, ranging from small mobile screens to multi-screen video walls. These visualizations are used in domains such as financial markets, professional sports, health care, journalism, and customer analytics. Richard has a personal blog at richardbrath.wordpress.com.
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