One of the most useful things about summary statistics and box plots is that you can use it to downsize data from large data sets to a few values. Also, some times you do not have the raw data and you want to plot a box plot from the summary stats. (median, inter-quartile range, 99.7/0.03 percentile)
Is this possible to do this in plotly, or possible to plot dummy box plots and then edit there attributes, as you can do in matplotlib.
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Totally. I have many experiments with many features with many classes. I just want to plot my summary statistics so that I don’t need to keep all of that raw data around.
If the df contained:
- Columns for each summary stat and an outlier:list.
- Rows for different classes.
In an ideal world, the different outlier algorithms would be exposed too.
Here is how matplotlib does it: