Computer graphics for extracting information from data. [Various techniques for data display]
Computer graphics which are useful for displaying and analyzing data are presented. Many classical and several newly developed graphical techniques in statistical data analysis are presented for small univariate and multivariate data sets. These include histograms, empirical density functions, pie charts, contour plots, a discriminant analysis display, cluster analysis, Chernoff ''faces,'' and Andrews' sine curves. Recent advances in data collection technology and computer data base management systems have made it imperative to utilize computer graphics for large data sets. Several innovative graphical techniques are presented to handle this situation. Spatial relationships among the data (particularly geographic data) are difficult to conceptualize. Several cartographic techniques are presented which enhance the understanding of these spatial relationships within the data.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 5293512
- Report Number(s):
- LA-UR-77-2456; CONF-771042-2
- Resource Relation:
- Conference: 3. ERDA statistical symposium, Richland, WA, USA, 26 Oct 1977
- Country of Publication:
- United States
- Language:
- English
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