Multiple Views: Difference between revisions

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Combining different visualization techniques and applying them on data acquired during ''one'' observation (belonging to the same ''concept'') can yield deeper insights into the data, make finding causal relationships easier, and uncover unforeseen connections.
Combining different visualization techniques and applying them on data acquired during ''one'' observation (belonging to the same ''concept'') can yield deeper insights into the data, make finding causal relationships easier, and uncover unforeseen connections.
Coordinated Multiple Views (CMV): If the different visualization techniques are coordinated (e.g., by linking & brushing)


== References ==
== References ==

Revision as of 10:51, 11 July 2006

Multiple views of the same data set (3 views: Parallel Coordinates, a 2D Graph and a Treemap).
[ILOG, 2004]
A multiple view–system uses two or more distinct views to support the investigation of a single conceptual entity.
[Baldonado et al., 2000]



Combining different visualization techniques and applying them on data acquired during one observation (belonging to the same concept) can yield deeper insights into the data, make finding causal relationships easier, and uncover unforeseen connections.

Coordinated Multiple Views (CMV): If the different visualization techniques are coordinated (e.g., by linking & brushing)

References