Comments (1)
[mike] And here’s a boxplot example, which is a bit more involved that I would like, but could be abstracted. https://next.observablehq.com/d/e111c21a560f7c6e
[fil] For boxplots, I see that ggplot2 uses actual data values for limits (“the largest value lower than q3” rather than q3). See https://ggplot2.tidyverse.org/reference/geom_boxplot.html#summary-statistics for details. I don’t know what is considered state of the art, but I’m happy to take the time to check this. Do you already have a strong opinion about this? (modifié)
[mike] Making it consistent with ggplot2 (or some other major precedent) sounds great, as long as it doesn’t grow too complicated. I didn’t investigate too closely. I mostly tried to reproduce the Wikipedia example which was done in R but I couldn’t find a great description of the behavior.
[mike] > The upper whisker extends from the hinge to the largest value no further than 1.5 * IQR from the hinge (where IQR is the inter-quartile range, or distance between the first and third quartiles). The lower whisker extends from the hinge to the smallest value at most 1.5 * IQR of the hinge. Data beyond the end of the whiskers are called "outlying" points and are plotted individually.
mike> ^ I thought I was already doing this.
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