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enhancementNew feature or requestNew feature or request
Description
The plot.density_kind
rcparam currently defaults to kde
, and the value in there is taken at face value. Before, even when kind="kde"
it would be switched back to histogram on discrete data.
I was thinking we could add an "auto" option in which case each plot would choose the marginal distribution visualization depending on data type and number of observations. We could then have ecdf as default for low number of samples, kde for large-ish samples and continuous data, histogram otherwise. Users could change it to the current kinds to hardcode the value or we could even try adding something like kde-auto
/hist_auto
... to indicate that type of visualization should be preferred but still switched when it makes no sense.
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enhancementNew feature or requestNew feature or request