Lesson plan
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: # 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
Article summary
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
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.