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. For the outliers in the data:
2. outlying
3. For the density of data points:
4. skewed
5. clumpy
6. sparse
7. striated
8. For the shape of the point cloud:
9. convex
10. skinny
11. stringy
12. For trends in the data:
13. monotony

References

External links

• Python library pyscagnostics
• R package scagnostics