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
References
External links Python library pyscagnostics R package scagnostics