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To calculate more exact margin of errors for aggregated values where possible.
The text was updated successfully, but these errors were encountered:
Proof of concept here for sums, means, and medians.
This assumes we have the dataset that contains the variance replicates. Grabbing these more automatically might require a different tool.
This has a pandas dependency. Is there another data structure that would be better?
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Proof of concept updated into function form with documentation.
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To calculate more exact margin of errors for aggregated values where possible.
The text was updated successfully, but these errors were encountered: