DocumentCode :
2819335
Title :
Visualization and analysis of multi-variate data: a technique for all fields
Author :
Mihalisin, T. ; Timlin, J. ; Schwegler, J.
Author_Institution :
Mihalisin Associates, Ambler, PA, USA
fYear :
1991
fDate :
22-25 Oct 1991
Firstpage :
171
Abstract :
A technique is presented for plotting large multivariate data sets that involves the mapping of n independent variable dimensions on to a single hierarchical horizontal axis with a single dependent variable being plotted on the vertical axis. The emphasis is on visual statistical analysis of either discrete variables or continuous variables that have been sampled on, or binned to, a regular n-dimensional lattice. The general applicability of the technique is discussed, and ways are explored of representing the hierarchical data-driven symbols that are particularly well suited to a variety of visual analysis tasks
Keywords :
computer graphics; data analysis; statistical analysis; binning; continuous variables; data analysis; data visualization; dependent variable; discrete variables; hierarchical data-driven symbols; hierarchical horizontal axis; independent variable dimensions; multivariate data sets; plotting; sampling; visual analysis tasks; visual statistical analysis; Computer aided manufacturing; Data analysis; Data engineering; Data visualization; Engineering management; Finance; Financial management; Lattices; Market research; Risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visualization, 1991. Visualization '91, Proceedings., IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-2245-8
Type :
conf
DOI :
10.1109/VISUAL.1991.175796
Filename :
175796
Link To Document :
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