You can help expand this article with text translated from the corresponding article in German. (March 2022) Click [show] for important translation instructions.
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Scagnostics (scatterplot diagnostics) refers to a series of measures that characterize certain properties of a point cloud in a scatter plot. The term and idea was coined by John Tukey and Paul Tukey, though they didn't publish it; later it was elaborated by Wilkinson, Anand, and Grossman. The following nine dimensions are considered:[1][2]
For the outliers in the data:
outlying
For the density of data points:
skewed
clumpy
sparse
striated
For the shape of the point cloud:
convex
skinny
stringy
For trends in the data:
monotony
Scatterplot matrix of the scagnostics measures for the 91 scatterplots of the variables of the Boston Housing data set
ReferencesEdit
^Wilkinson, Leland (23 April 2008). "Scagnostics". Retrieved 25 March 2022. {{cite journal}}: Cite journal requires |journal= (help)
^Wilkinson, Leland; Anand, Anushka; Grossman, Robert (2005). "Graph-theoretic scagnostics". In Proc. 2005 IEEE Symp. On Information Visualization (INFOVIS: 157–164. CiteSeerX10.1.1.329.1315.
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