Designing Data Visualizations

✍ Scribed by Julie Steele, Noah Iliinsky

• Publisher: O'Reilly Media
• Year: 2011
• Tongue: English
• Leaves: 110
• Category: Library

✦ Synopsis

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process.Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences—the designer, the reader, and the data—shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types

✦ Table of Contents

Table of Contents......Page 5
Preface......Page 9
How This Book Is Organized......Page 10
What We Mean When We Say…......Page 11
Figures Used by Permission......Page 12
How to Contact Us......Page 13
Acknowledgments......Page 14
Part I. What Will You Design?......Page 15
Complexity......Page 17
Infographics versus Data Visualization......Page 18
Infographics......Page 19
Exploration......Page 21
Informative versus Persuasive versus Visual Art......Page 22
Informative......Page 23
Visual Art......Page 24
Why Are You Here?......Page 27
You Are Creating This for Other People......Page 28
Contextual Considerations for the Reader......Page 29
Data......Page 30
Part II. How Should You Design It?......Page 33
Knowledge Before Structure......Page 35
Avoiding TMI......Page 37
Natural Ordering......Page 39
Color is not ordered......Page 40
Distinct Values......Page 42
Redundant Encoding......Page 43
Defaults versus Innovative Formats......Page 44
Titles, tags, and labels......Page 45
Color blindness......Page 46
Directional orientation......Page 47
Compatibility with Reality......Page 48
Patterns and Consistency......Page 51
Selecting Structure......Page 52
Some Structures Are Just Inherently Bad......Page 54
Some Good Structures Are Often Abused......Page 56
Keep It Simple (or You Might Look) Stupid......Page 58
Position: Layout and Axes......Page 61
Position Is Your Most Powerful Encoding......Page 62
Semantic Distance and Relative Proximity......Page 63
Representation of Physical Space......Page 64
Logical Relationships versus Physical Relationships......Page 65
Patterns of Organization (and More!)......Page 66
Quantitative and comparative formats......Page 67
Spatial formats......Page 71
Good uses of circles and circular layouts......Page 72
Bad uses of circles and circular layouts......Page 76
Color......Page 79
Leverage Common Color Associations......Page 80
Cognitive Interference and the Stroop Test......Page 81
Color Theory......Page 82
Spatial perception of color......Page 83
RGB versus CMYK......Page 84
Conveying Size......Page 85
Comparing Sizes......Page 86
Fonts and Hierarchies......Page 88
Beware of All Caps......Page 89
Icons......Page 90
Illusions......Page 91
Lines......Page 92
Keys versus Direct Labeling of Data Points......Page 93
Pitfalls to Avoid......Page 94
3D......Page 95
Gradients......Page 96
Conclusion......Page 97
Tools
......Page 99
Reading List
......Page 102
Select Axes, Layout, and Placement......Page 105
Choose Titles, Tags, and Labels......Page 106
Analyze Patterns and Consistency......Page 107

✦ Subjects

Финансово-экономические дисциплины;Статистический анализ экономических данных;