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  • - Chapter 1: On Beauty; 1.1 What Is Beauty?; 1.2 Learning from the Classics; 1.3 How Do We Achieve Beauty?; 1.4 Putting It Into Practice; 1.5 Conclusion.....1; - Chapter 2: Once Upon a Stacked Time Series; 2.1 Question + Visual Data + Context = Story; 2.2 Steps for Creating an Effective Visualization; 2.3 Hands-on Visualization Creation; 2.4 Conclusion...15 - Chapter 3: Wordle; 3.1 Wordle's Origins; 3.2 How Wordle Works; 3.3 Is Wordle Good Information Visualization?; 3.4 How Wordle Is Actually Used; 3.5 Conclusion; 3.6 Acknowledgments; 3.7 References......37 ; - Chapter 4: Color: The Cinderella of Data Visualization; 4.1 Why Use Color in Data Graphics?; 4.2 Luminosity As a Means of Recovering Local Density; 4.3 Looking Forward: What About Animation?; 4.4 Methods; 4.5 Conclusion; 4.6 References and Further Reading....59; - Chapter 5: Mapping Information: Redesigning the New York City Subway Map; 5.1 The Need for a Better Tool; 5.2 London Calling; 5.3 New York Blues; 5.4 Better Tools Allow for Better Tools; 5.5 Size Is Only One Factor; 5.6 Looking Back to Look Forward; 5.7 New York's Unique Complexity; 5.8 Geography Is About Relationships; 5.9 Sweat the Small Stuff; 5.10 Conclusion.....69 ; - Chapter 6: Flight Patterns: A Deep Dive; 6.1 Techniques and Data; 6.2 Color; 6.3 Motion; 6.4 Anomalies and Errors; 6.5 Conclusion; 6.6 Acknowledgments.....91; - Chapter 7: Your Choices Reveal Who You Are: Mining and Visualizing Social Patterns; 7.1 Early Social Graphs; 7.2 Social Graphs of Amazon Book Purchasing Data; 7.3 Conclusion; 7.4 References.....103; - Chapter 8: Visualizing the U.S. Senate Social Graph (1991-2009); 8.1 Building the Visualization; 8.2 The Story That Emerged; 8.3 What Makes It Beautiful?; 8.4 And What Makes It Ugly?; 8.5 Conclusion; 8.6 References.....123; - Chapter 9: The Big Picture: Search and Discovery; 9.1 The Visualization Technique; 9.2 YELLOWPAGES.COM; 9.3 The Netflix Prize; 9.4 Creating Your Own; 9.5 Conclusion; 9.6 References.....143; - Chapter 10: Finding Beautiful Insights in the Chaos of Social Network Visualizations; 10.1 Visualizing Social Networks; 10.2 Who Wants to Visualize Social Networks?; 10.3 The Design of SocialAction; 10.4 Case Studies: From Chaos to Beauty; 10.5 References.....157; - Chapter 11: Beautiful History: Visualizing Wikipedia; 11.1 Depicting Group Editing; 11.2 History Flow in Action; 11.3 Chromogram: Visualizing One Person at a Time; 11.4 Conclusion.....175; - Chapter 12: Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project; 12.1 Categorical Data; 12.2 Parallel Sets; 12.3 Visual Redesign; 12.4 A New Data Model; 12.5 The Database Model; 12.6 Growing the Tree; 12.7 Parallel Sets in the Real World; 12.8 Conclusion; 12.9 References.....193; - Chapter 13: The Design of "X by Y"; 13.1 Briefing and Conceptual Directions; 13.2 Understanding the Data Situation; 13.3 Exploring the Data; 13.4 First Visual Drafts; 13.5 The Final Product; 13.6 Conclusion; 13.7 Acknowledgments; 13.8 References.....205; - Chapter 14: Revealing Matrices; 14.1 The More, the Better?; 14.2 Databases As Networks; 14.3 Data Model Definition Plus Emergence; 14.4 Network Dimensionality; 14.5 The Matrix Macroscope; 14.6 Reducing for Complexity; 14.7 Further Matrix Operations; 14.8 The Refined Matrix; 14.9 Scaling Up; 14.10 Further Applications; 14.11 Conclusion; 14.12 Acknowledgments; 14.13 References.....227; - Chapter 15: This Was 1994: Data Exploration with the NYTimes Article Search API; 15.1 Getting Data: The Article Search API; 15.2 Managing Data: Using Processing; 15.3 Three Easy Steps; 15.4 Faceted Searching; 15.5 Making Connections; 15.6 Conclusion.....255; - Chapter 16: A Day in the Life of the New York Times; 16.1 Collecting Some Data; 16.2 Let's Clean 'Em First; 16.3 Python, Map/Reduce, and Hadoop; 16.4 The First Pass at the Visualization; 16.5 Scene 1, Take 1; 16.6 Scene 1, Take 2; 16.7 The Second Pass at the Visualization; 16.8 Visual Scale and Other Visualization Optimizations; 16.9 Getting the Time Lapse Working; 16.10 So, What Do We Do with This Thing?; 16.11 Conclusion; 16.12 Acknowledgments.....271; - Chapter 17: Immersed in Unfolding Complex Systems; 17.1 Our Multimodal Arena; 17.2 Our Roadmap to Creative Thinking; 17.3 Project Discussion; 17.4 Conclusion; 17.5 References.....291; - Chapter 18: Postmortem Visualization: The Real Gold Standard; 18.1 Background; 18.2 Impact on Forensic Work; 18.3 The Virtual Autopsy Procedure; 18.4 The Future for Virtual Autopsies; 18.5 Conclusion; 18.6 References and Suggested Readin.....311; - Chapter 19: Animation for Visualization: Opportunities and Drawbacks; 19.1 Principles of Animation; 19.2 Animation in Scientific Visualization; 19.3 Learning from Cartooning; 19.4 Presentation Is Not Expppppploration; 19.5 Types of Animation; 19.6 Staging Animations with DynaVis; 19.7 Principles of Animation; 19.8 Conclusion: Animate or Not?; 19.9 Further Reading; 19.10 Acknowledgments; 19.11 References.....329; - Chapter 20: Visualization: Indexed.; 20.1 Visualization: It's an Elephant.; 20.2 Visualization: It's Art.; 20.3 Visualization: It's Business.; 20.4 Visualization: It's Timeless.; 20.5 Visualization: It's Right Now.; 20.6 Visualization: It's Coded.; 20.7 Visualization: It's Clear.; 20.8 Visualization: It's Learnable.; 20.9 Visualization: It's a Buzzword.; 20.10 Visualization: It's an Opportunity......353 (xsd:string)
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