دانلود کتاب Visualizing with Text

فهرست مطالب :

Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Visual Table of Contents
Table of Contents
List of Figures and Credits
Foreword
Preface
About the Author
Part I Defining Text Elements
Chapter 1 Why Visualize with Text?
1.1 Why Text?
1.2 500 Years of Pushing Text Out of Visualizations
1.3 (Re)Learning from History
1.3.1 Cartography
1.3.2 Typography
1.3.3 Tables
1.3.4 Science Classification and Notation
1.3.5 Code Editors
1.3.6 Alphanumeric Charts
1.3.7 Art and Poetry
1.3.8 Graphic Design and Advertising
1.3.9 Comics
1.3.10 Post-Modern Text
1.3.11 Data Visualization
1.4 Further Reading
Chapter 2 The Design Space of Visualization with Text
2.1 Is Text Visualization?
2.1.1 Visualization as Visual Patterns
2.1.2 Visualization as Organized Inventory
2.1.3 Visualization as Communication
2.2 Visualization Design Space Today
2.2.1 Visualization Anatomy
2.2.2 Visualization Encoding
2.3 Preprocessing Text for the Visualization Pipeline
2.4 Deriving a Visualization Pipeline for Text
2.5 Further Reading
Chapter 3 Characterizing Text
3.1 Literal Data
3.1.1 Functional Benefits: The Data Contains Text
3.1.2 Perceptual Benefits: Fast, Efficient Access to Detail
3.1.3 Cognitive Benefits: Reasoning Aid
3.1.4 Language Constraints
3.2 Typographic Attributes
3.2.1 Alphanumeric Glyphs (i.e. Letters and Numbers)
3.2.2 Symbols and Paired Delimiters
3.2.3 Weight (and Bold)
3.2.4 Oblique Angle (and Italic)
3.2.5 Underlines
3.2.6 Case (Upper, Lower, Small Caps, and Proper)
3.2.7 Width (Condensed/Expanded, Scaling, and Spacing)
3.2.8 Typeface (i.e. Font)
3.2.9 Low-Level Font Parameters: X-Height, Contrast, Stress, Serif Types, etc.
3.2.10 Shifting Baseline and Text on a Path
3.3 Non-Type Visual Attributes
3.3.1 Size
3.3.2 Rotation
3.3.3 Fill Color
3.3.4 Outline and Outline Color
3.3.5 Gradients or Drop-Shadows
3.3.6 Superimposition and Contrast
3.3.7 Distortion and Extrusion
3.3.8 3D Orientation
3.3.9 Motion
3.3.10 More: Texture, Blur, Transparency, Etc.
3.4 Marks and Text Scope
3.4.1 Point Marks: Characters, Codes, Syllables, and Words
3.4.2 Line Marks: Phrases and Sentences
3.4.3 Area Marks: Paragraphs and Chapters
3.4.4 Readability of Text
3.5 Text Layouts: Prose, Tables, and Lists
3.5.1 Prose
3.5.2 Tables
3.5.3 Lists and Indices
3.6 Text Interactions
3.7 Text Characterization for Visualization Design Summary
3.8 Further Reading
Chapter 4 Using the Design Space
4.1 Structured Data and Bertin’s Permutations
4.2 Unstructured Data Analysis and NLP
4.3 Multiple Attributes
4.4 Roles for Text in Visualizations
4.5 Visualization Business Opportunities
4.6 Further Reading
Part II Labels
Chapter 5 Point Labels
5.1 Labels as Point Marks
5.2 Reading Is Faster Than Interacting
5.3 Codes as Labels
5.4 Full Labels
5.5 Group Labels and Very Long Labels
5.6 Many Labels and Long Labels
5.7 Massive Data, Labels, and Zoom
5.8 Further Reading
Chapter 6 Distributions
6.1 Highlighting Values in Stem and Leaf Plots
6.2 Literal Leaves
6.2.1 Literal Leaves Showing Alphanumeric Codes
6.2.2 Literal Leaves Showing Words and Phrases
6.3 Literal Stems and Literal Leaves
6.3.1 Literal Stems and Leaves with Codes
6.3.2 Literal Stems and Leaves with Words
6.3.3 Literal Stems and Leaves with Phrases
6.4 Stems and Leaf Hierarchies and Graphs
6.4.1 Simple Stems and Leaf Hierarchy
6.4.2 Stems and Leaf Graph
6.4.3 Stems and Leaf Hierarchies on a Corpus
6.5 Stems and Leaf Interactions
6.6 Further Reading
Chapter 7 Microtext Lines
7.1 Text on Paths
7.2 The Need to Visualize Many Timeseries
7.2.1 Line Charts with Many Lines
7.2.2 Microtext and River Labels with Many Lines
7.2.3 Do Microtext Lines Work?
7.2.4 Interactive Microtext Line Charts
7.3 Microtext Applied to Other Visualization Layouts
7.4 Further Reading
Part III Formats
Chapter 8 Sets and Categories
8.1 Challenges Visualizing Multiple Categories
8.2 Indicating Set Membership with Text
8.3 Typographic Venn and Euler Diagrams
8.4 Typographic Graphs
8.5 Typographic Scatterplots
8.6 Typographic Mosaic Plots
8.7 Typographic Bar Charts with Stacked Labels
8.8 Handling Many Categories
8.8.1 Many Different Visual Attributes
8.8.2 Visual Attributes Applied to Individual Characters
8.8.3 Decoding vs. Noticing a Difference
8.8.4 Going Further
8.9 Further Reading
Chapter 9 Maps and Ordered Data
9.1 Problems with Thematic Maps
9.2 Typographic Thematic Map with a Single Ordered Variable
9.3 Multi-Variate Typographic Thematic Maps
9.4 Handling Long Labels
9.5 Scaling to Thousands of Labels
9.6 Non-Distorted Typographic Maps
9.7 Typographic Scope: Paragraphs and Glyphs
9.8 Do Typographic Thematic Maps Work?
9.9 Typographic Ordering with Other Attributes and Layouts
9.10 Further Reading
Chapter 10 Ratios and Quantitative Data
10.1 Quantitative Data
10.2 Proportions Along a String (Bar Charts with Long Labels)
10.2.1 Proportions along Words and Phrases
10.2.2 Proportions along Lines of Text
10.2.3 Proportions to Indicate Ranges
10.2.4 Proportions, Distributions, and Areas
10.2.5 Proportions in Paragraphs
10.2.6 Stacked Proportions
10.2.7 Multiple Proportions
10.2.8 Semantic Proportions and Expressive Text
10.3 Positions along a String
10.4 Caveats, Issues, and Limitations
Part IV Text Layouts
Chapter 11 Prose and Prosody
11.1 Enhanced Reading
11.2 Skim Formatting
11.3 Formatting Letters for Pronunciation, Spelling, and Prosody
11.4 Further Reading
Chapter 12 SparkWords
12.1 Historic Precedent for SparkWords
12.2 SparkWords Defined
12.3 SparkWords in Narrative
12.3.1 Categoric SparkWords
12.3.2 Ordered SparkWords
12.3.3 Quantitative SparkWords
12.4 SparkWords in Lists
12.5 SparkWords in Tables
12.5.1 Orders of Magnitude
12.5.2 Tables with Data Added into Typographic Formats
12.6 Further Reading
Chapter 13 Opportunity and Checklist
13.1 Validation
13.2 Checklist
13.2.1 Language
13.2.2 Legibility
13.2.3 Alphanumeric Codes
13.2.4 Formats
13.2.5 Long Labels
13.2.6 Layout Challenges
13.2.7 Typeface
13.2.8 Interactions
13.2.9 More
Chapter 14 References
14.1 Acknowledgments
14.2 Peer-Reviewed Research
Bibliography
Index