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Browsing through an information visualization design space
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CHI '04 extended abstracts on Human factors in computing systems table of contents
Vienna, Austria
DEMONSTRATION SESSION: Demostrations table of contents
Pages: 765 - 766  
Year of Publication: 2004
ISBN:1-58113-703-6
Author
Thomas Baudel  ILOG, Gentilly, France
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

ILOG Discovery is an information visualization editor, which allows browsing the visualization design space of data sets. This editor relies on the definition of data-linear visualizations, which are a very large class of visualizations that are defined from a relatively small number of parameters. Visualizations that can be produced by the editor encompass histograms, parallel coordinates, treemaps, as well as mixes of those representation types, such as a parallel histogram embedded in a treemap, all with one single unified model.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Baudel, T. Canonical Representation of Data-Linear Visualization Algorithms and its Applications. ILOG Research report. 2003. http://techreports.ilog.com
 
2
Bertin, J. La graphique et le traitement graphique de l'information. La graphique de communication. p. 22. Flammarion, 1977.
 
3
Chi, Ed,. A Framework for Visualizing Information. 2002. Kluwer Academic Publishers, Netherlands.
 
4