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I was working on calculating the standard deviation between two data points in a 2D-space when only individual standard deviations in x- and y-dimension are known. In the end, this worked with trigonometry from an elliptical SD space. I wonder why this never showed up during my university studies? Seems to me a very good way to project inter-datapoint distances in a (low) multidimensional space into a digestible figure, such as a boxplot...

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