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Visualization

FacetMap

 

 

Information scaling

  • Adaptively generate only the appropriate amount of detail: items have a minimum size
  • Group excess detail in higher-level structures until it can be effectively presented
  • Small to large datasets
  • Small to large screen sizes
  • Homogenous to heterogeneous data: works with any number of facets and items

Interactive Facets

  • Each facet represents one kind of metadata: Date, File-Type, Person, Domain, etc
  • Facets are visualized hierarchically: Date / Today / Morning / 8:36am
  • Items are grouped by common attributes within each facet:
  • Filtering in one facet filters in all other facets
  • Items, groups, & facets are dynamically laid-out: GridMap
  • An “overflow” bucket in each facet and/or group holds items that won’t fit in current set of buckets

Contact vibe webmaster Last Updated 03/01/2007