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It might be possible to use something like uncertain-panda
to allow propagating uncertainties. Otherwise, if we simply take standard deviation, we would do that at every aggregation step, and since we aggregate the data multiple times before the end result, there will be only one point in each category so the sample standard deviation will be zero!
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