Books & Videos

Table of Contents

  1. Chapter 1 On Beauty

    1. What Is Beauty?

    2. Learning from the Classics

    3. How Do We Achieve Beauty?

    4. Putting It Into Practice

    5. Conclusion

  2. Chapter 2 Once Upon a Stacked Time Series

    1. Question + Visual Data + Context = Story

    2. Steps for Creating an Effective Visualization

    3. Hands-on Visualization Creation

    4. Conclusion

  3. Chapter 3 Wordle

    1. Wordle's Origins

    2. How Wordle Works

    3. Is Wordle Good Information Visualization?

    4. How Wordle Is Actually Used

    5. Conclusion

    6. Acknowledgments

    7. References

  4. Chapter 4 Color: The Cinderella of Data Visualization

    1. Why Use Color in Data Graphics?

    2. Luminosity As a Means of Recovering Local Density

    3. Looking Forward: What About Animation?

    4. Methods

    5. Conclusion

    6. References and Further Reading

  5. Chapter 5 Mapping Information: Redesigning the New York City Subway Map

    1. The Need for a Better Tool

    2. London Calling

    3. New York Blues

    4. Better Tools Allow for Better Tools

    5. Size Is Only One Factor

    6. Looking Back to Look Forward

    7. New York's Unique Complexity

    8. Geography Is About Relationships

    9. Sweat the Small Stuff

    10. Conclusion

  6. Chapter 6 Flight Patterns: A Deep Dive

    1. Techniques and Data

    2. Color

    3. Motion

    4. Anomalies and Errors

    5. Conclusion

    6. Acknowledgments

  7. Chapter 7 Your Choices Reveal Who You Are: Mining and Visualizing Social Patterns

    1. Early Social Graphs

    2. Social Graphs of Amazon Book Purchasing Data

    3. Conclusion

    4. References

  8. Chapter 8 Visualizing the U.S. Senate Social Graph (1991–2009)

    1. Building the Visualization

    2. The Story That Emerged

    3. What Makes It Beautiful?

    4. And What Makes It Ugly?

    5. Conclusion

    6. References

  9. Chapter 9 The Big Picture: Search and Discovery

    1. The Visualization Technique

    2. YELLOWPAGES.COM

    3. The Netflix Prize

    4. Creating Your Own

    5. Conclusion

    6. References

  10. Chapter 10 Finding Beautiful Insights in the Chaos of Social Network Visualizations

    1. Visualizing Social Networks

    2. Who Wants to Visualize Social Networks?

    3. The Design of SocialAction

    4. Case Studies: From Chaos to Beauty

    5. References

  11. Chapter 11 Beautiful History: Visualizing Wikipedia

    1. Depicting Group Editing

    2. History Flow in Action

    3. Chromogram: Visualizing One Person at a Time

    4. Conclusion

  12. Chapter 12 Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project

    1. Categorical Data

    2. Parallel Sets

    3. Visual Redesign

    4. A New Data Model

    5. The Database Model

    6. Growing the Tree

    7. Parallel Sets in the Real World

    8. Conclusion

    9. References

  13. Chapter 13 The Design of "X by Y"

    1. Briefing and Conceptual Directions

    2. Understanding the Data Situation

    3. Exploring the Data

    4. First Visual Drafts

    5. The Final Product

    6. Conclusion

    7. Acknowledgments

    8. References

  14. Chapter 14 Revealing Matrices

    1. The More, the Better?

    2. Databases As Networks

    3. Data Model Definition Plus Emergence

    4. Network Dimensionality

    5. The Matrix Macroscope

    6. Reducing for Complexity

    7. Further Matrix Operations

    8. The Refined Matrix

    9. Scaling Up

    10. Further Applications

    11. Conclusion

    12. Acknowledgments

    13. References

  15. Chapter 15 This Was 1994: Data Exploration with the NYTimes Article Search API

    1. Getting Data: The Article Search API

    2. Managing Data: Using Processing

    3. Three Easy Steps

    4. Faceted Searching

    5. Making Connections

    6. Conclusion

  16. Chapter 16 A Day in the Life of the New York Times

    1. Collecting Some Data

    2. Let's Clean 'Em First

    3. Python, Map/Reduce, and Hadoop

    4. The First Pass at the Visualization

    5. Scene 1, Take 1

    6. Scene 1, Take 2

    7. The Second Pass at the Visualization

    8. Visual Scale and Other Visualization Optimizations

    9. Getting the Time Lapse Working

    10. So, What Do We Do with This Thing?

    11. Conclusion

    12. Acknowledgments

  17. Chapter 17 Immersed in Unfolding Complex Systems

    1. Our Multimodal Arena

    2. Our Roadmap to Creative Thinking

    3. Project Discussion

    4. Conclusion

    5. References

  18. Chapter 18 Postmortem Visualization: The Real Gold Standard

    1. Background

    2. Impact on Forensic Work

    3. The Virtual Autopsy Procedure

    4. The Future for Virtual Autopsies

    5. Conclusion

    6. References and Suggested Reading

  19. Chapter 19 Animation for Visualization: Opportunities and Drawbacks

    1. Principles of Animation

    2. Animation in Scientific Visualization

    3. Learning from Cartooning

    4. Presentation Is Not Exploration

    5. Types of Animation

    6. Staging Animations with DynaVis

    7. Principles of Animation

    8. Conclusion: Animate or Not?

    9. Further Reading

    10. Acknowledgments

    11. References

  20. Chapter 20 Visualization: Indexed.

    1. Visualization: It's an Elephant.

    2. Visualization: It's Art.

    3. Visualization: It's Business.

    4. Visualization: It's Timeless.

    5. Visualization: It's Right Now.

    6. Visualization: It's Coded.

    7. Visualization: It's Clear.

    8. Visualization: It's Learnable.

    9. Visualization: It's a Buzzword.

    10. Visualization: It's an Opportunity.

  1. Appendix Contributors

  2. Appendix Colophon