Multi-Dimensional Data Visualization 2

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Presentation transcript:

Multi-Dimensional Data Visualization 2 cs5984: Information Visualization Chris North

Homework #1 Due today

Star Coordinates Continue discussion… Kandogan, “Star Coordinates” Rohit, David

Table Lens Rao, “Table Lens” Harsha, Vishal

VisDB Keim, “VisDB” Ming, Rui

Comparison of tools Parcood: <1000 items, <20 attrs Relate between adjacent attr pairs Starcoord: <1,000,000 items, <20 attrs Interaction intensive Tablelens: similar to par-coords more items with aggregation Relate 1:m attrs (sorting), short learn time Visdb: 100,000 items with 10 attrs Items*attrs = screenspace, loooong learn time, must query! Spotfire: <1,000,000 items, <10+infinity attrs Filtering, short learn time

Next Week Book chapter 5 Tues: Dynamic Queries Tweedie, Spence, “Externalizing Abstract Mathematical Models” (Attribute/Influence Explorer) wang, alli Doan, “Query Previews” anuj, vikrant Thurs: Multi-D Functions Feiner, “Worlds within Worlds” sandip, ben vanWijk “HyperSlice” kumar, kunal

Project Proposal due next Thurs, Sept 13 Projects: Team, project description Projects: Human-eye view -alex Online chat/video-conference visualization (virtual school) Mahesh samel Bioinformatics – experiment vis in context -Quoc Gene patterns? Digital libraries, Envision 2 groups Snap-together visualization - nathan -ying Visualizing Multi-D functions - sanjini -mishra Visualization in the periphery - david Visualization of data structures - kunal