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What's your use case? We would like a way to visualize distributions across categories between subsets.
What's your proposed solution? Essentially add a third dimension to produce graphs like:
https://seaborn.pydata.org/tutorial/categorical.html#violinplots
where the new variable would be equivalent to the hue=sex parameter.
hue=sex
Are there any alternative solutions? Custom script into a seaborn visualization :)
I may be able to implement this, but I wanted to ask if it would be accepted first.
The text was updated successfully, but these errors were encountered:
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What's your use case?
We would like a way to visualize distributions across categories between subsets.
What's your proposed solution?
Essentially add a third dimension to produce graphs like:
https://seaborn.pydata.org/tutorial/categorical.html#violinplots
where the new variable would be equivalent to the
hue=sexparameter.Are there any alternative solutions?
Custom script into a seaborn visualization :)
I may be able to implement this, but I wanted to ask if it would be accepted first.
The text was updated successfully, but these errors were encountered: