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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]

1. For the outliers in the data:
   1. outlying
2. For the density of data points:
   1. skewed
   2. clumpy
   3. sparse
   4. striated
3. For the shape of the point cloud:
   1. convex
   2. skinny
   3. stringy
4. For trends in the data:
   1. monotony

• Python library pyscagnostics
• R package scagnostics

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