• 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