Scagnostics

Last updated October 06, 2025

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Scatterplot matrix of the scagnostics measures for the 91 scatterplots of the variables of the Boston Housing data set ScagnosticsExampleSplom.svg — Scatterplot matrix of the scagnostics measures for the 91 scatterplots of the variables of the Boston Housing data set

Scagnostics (scatterplot diagnostics) is 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:
1. outlying
For the density of data points:
1. skewed
2. clumpy
3. sparse
4. striated
For the shape of the point cloud:
1. convex
2. skinny
3. stringy
For trends in the data:
1. monotony

References

↑ Wilkinson, Leland (23 April 2008). "Scagnostics" . Retrieved 25 March 2022.{{cite journal}}: Cite journal requires |journal= (help)
↑ Wilkinson, L.; Anand, A.; Grossman, R. (2005). "Graph-theoretic scagnostics". IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. pp. 157–164. doi:10.1109/INFVIS.2005.1532142. ISBN 0-7803-9464-X.

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