DataWear: Revealing Trends of Dynamic Data in Visualizations

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DataWear Revealing Trends of Dynamic Data in
Visualizations
Late Breaking Hot Topics, Infovis Symposium
2001 Authors Chris North, Umer Farooq, Dilshad
Akhter
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Outline

• Background and motivation
• Concept of DataWear
• Discussion
• Future path
• Conclusion

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Background

• What is dynamic data?
• Some solutions to visualize dynamic data
• Time is important, but can we afford it to be
  represented as an axis?

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The DataWear concept

• Using wear as an implicit dimension
• Emphasis on frequency and recentness
• Illustrations of DataWear

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Visualization example (1)
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Visualization example (2)
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Visualization example (3)
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Discussion and Future Work

• Wear threshold
• Conflict between frequency and recentness
• Zoomable interface
• Integration of DataWear with static data
  visualizations

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Conclusion

• Contribution of DataWear
• Dynamic data trends
• Simultaneously to preserve primary visualization

Thank you