Scagnostics

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Names in other languages

  • DeutschScagnostics
  • EnglishScagnostics
  • 中文預測學

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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: # 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

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

Text derived from https://en.wikipedia.org/w/index.php?oldid=1315304124 under CC BY-SA 4.0; modifications have been made.

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