Scagnostics

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

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