an interactive, query-driven data visualization technique for searching & browsing large, textual datasets, such as search results. the driving principle behind FacetMap is to show any size dataset in the most useful way, given the screen space constraints, the number of items, & the attributes (e.g. by time, by type, by author, etc.), of those items. for instance, when the dataset is too large to display all items within each facet at a useful size, FacetMap collapses individual items into oval bubbles representing groups of items that share common attribute values.
its design considered an aesthetically-pleasing output by using extremely visual & colorful bubbles, instead of text lists and scrollbars, & allows for simple, direct interaction with the output (the bubble facets) itself.