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
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