1. SIMS 247 Lecture 7 Simultaneous Multiple Views
February 10, 1998
Marti Hearst
SIMS 247

2. Dynamic Queries Instead of a formal database language
Explore a dataset interactively
Use graphical devices to interactively update a visualization
Marti Hearst
SIMS 247

3. Revisit VISAGE
Roth et al.: apply visualization operations to data and metadata directly
convert tabular to graph to map and back
Pros:
flexible
much work done for user
Cons:
layout may be confusing
which operation applied when?
How to better organize views of results of operations?
Marti Hearst
SIMS 247

4. Tufte: Multiples in Space and Time
Multiple images reveal:
repetition and change
pattern and surprise
Create visual lists of objects & activities
Help viewers
compare
analyze
differentiate
Narrate sequences of motion
Marti Hearst
SIMS 247

5. Multiple Views: Star Plot (Discussed in Feinberg 79
Multiple Views: Star Plot (Discussed in Feinberg 79. Works better with animation. Example taken from Behrans & Yu 95.)
Marti Hearst
SIMS 247

6. One Approach to Many Simultaneous Views
Anupam et al. 97:
Show many views on database simultaneously
Example: telecomm service
Rows: services
Columns: companies
Use transparency to fully or partially overlay different graphs
(see pictures in class)
Marti Hearst
SIMS 247

7. Another Approach: Linked Spreadsheet Cells (Chi 97)
Spreadsheet: familiar interface
Items are compared side-by-side
Operations easily applied across groups
operations on rows or columns
thus differs from scatterplot matrix
The twist: cells contain results of a large amount of data
Different operators for different datasets
Marti Hearst
SIMS 247

8. Spreadsheet Algorithm Example (Chi 97)
Problem: Delauny triangulation
generate 3D points randomly
try to find volumes
the algorithm is complex
Columns: how many steps the algorithm has run (5, 6, 25, 50)
Rows:
1) points (scatterplot)
2) show planes transparently
3) show edges between points
4) result of several operations
Marti Hearst
SIMS 247

9. Visualizaiton Spreadsheet; Chi 97
Marti Hearst
SIMS 247

10. Molecular Biology Spreadsheet
Problems with matrices:
identify differences between matrices
decide which visualization to apply
Goal: how do the datasets differ?
rows: different data sets
columns:
1) positive values -> cube points
2) all values -> carpet (red = negative)
3) all values -> bars
4)different rotational views
Claim: easy to explore application of various operators
Marti Hearst
SIMS 247

11. Visualizaiton Spreadsheet; Chi 97
Marti Hearst
SIMS 247

12. How to Specify Operators on Data?
Selecting from menu in the spreadsheet is awkward
Suggestion: Tool Glass/Magic Lenses (Stone, Fishkin, Bier, others)
drag a translucent operator palette around
combine operators directly on the palette
two-handed interface
How might they be applied to linking in visualization?
Marti Hearst
SIMS 247