MultiDimensional Data Visualization 2 cs 5984 Information Visualization

Multi-Dimensional Data Visualization 2 cs 5984: Information Visualization Chris North

Assignment • Read for Tues: • Tweedie&Spence, “Externalizing Abstract Mathematical Models” (Influence Explorer), p 276 » ravi, mark • Keim, “Vis. DB”, p 126 » ameya, sanjini • Read for Thurs: • Fishkin, “Movable filters” (Magic Lens), p 253 » prasuna, umer • Doan, “Query Previews”, web page » aarthi, ameya

Homework #1: Due Thurs Feb 1 • Get some data (>=1000 items, >=6 attributes) • Visualize it (>=2 tools) not demo data! • Spotfire, Advizor/See. It, 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 (maellis 1), 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”, p 343, 597 • marty e, purvi

Today • Feiner, “Worlds within Worlds”, p 96 • 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

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