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

2. 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

3. 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

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

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

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

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

10. 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