Scagnostics
Scatterplot diagnostics measures

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:
- 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
Sources and credits
This article is adapted from the Wikipedia article “Scagnostics”, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.
Images, from Wikimedia Commons:
- ScagnosticsExampleSplom.svg by Sigbert, CC BY-SA 3.0
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