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

Assignment Read for Tues: Read for Thurs: Tweedie&Spence, “Externalizing Abstract Mathematical Models” (Influence Explorer), p276 ravi, mark Keim, “VisDB”, p126 ameya, sanjini Read for Thurs: Fishkin, “Movable filters” (Magic Lens), p253 prasuna, umer Doan, “Query Previews”, web page aarthi, ameya

Homework #1: Due Thurs Feb 1 Get some data (>=1000 items, >=6 attributes) not demo data! Visualize it (>=2 tools) Spotfire, Advizor/SeeIt, Table Lens, Parallel Coordinates Written report (2-3 pages) individual data: X Usability – Rex hartson eye-tracking - Debby hix -satya, prasuna Biotech – lenny Heath, naren R -margaret (maellis1), maulik, sumithra NASA - Layne watson -sanjini, aarthi dept - Cliff Shaffer -purvi univ - Dennis kafura software eng - Steve Edwards -umer survey data - Jan lee -dilshad

Today Rao, “Table Lens”, p343,597 marty e, purvi

Today Feiner, “Worlds within Worlds”, p96 Me, Ajay

Nested Axes (a,b,c,d) (1,2,3,4) B B D C A A

Nested Axes (a,b,c,d): d=f(a,b,c) E.g. 2=f(1,2,0) B B D ? C A A

Max D = 6 ? > 1 nesting gets cumbersome value=f(strike,spot,time,domestic,foreign,volatility) Max D = 6 ? > 1 nesting gets cumbersome Not much on its value to user Apply to 2D display? No overview of data Good dynamics Great for functions, not good for data points