Scagnostics


Scagnostics 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