Description of your problem

Interpolated Docs are missing sample plot. One should be added
https://docs.pymc.io/api/distributions/continuous.html#pymc3.distributions.continuous.Interpolated

Please provide any additional information below.
See example from Normal plot for

Hello.
I've come across what (to me) seems to be a problem with the FILENAME and FILENUM variables.

# mlr --version
Miller v5.6.2

# cat /tmp/csv1
A,B,C
_2GB,255,2
_4GB,120,4
_6GB,50,6
_10GB,10,10

# cat /tmp/csv2
FIRST,SECOND,THIRD,FOURTH
1,2,3,4
5,6,7,8
9,10,11,12
13,14,15,16

# mlr --icsv cat then put 'print FILENAME'   /tmp/csv1 /tmp/csv2
/tmp/csv1
A=_2GB,B=255,C=2
/

Hi again,
a second issue I ran into is related to the userguide:
The example for Grouping on calculated columns regarding binning doesn't compile in v0.37.3 and apart from that doesn't lead to a reasonable result, as far as I see.

• Compilation isn't possible, as bin() returns a DoubleColumn (even if c

Currently the main statistics table looks as follows:

The following historical commit information, by author, was found in the repository:

Author           Commits    Insertions      Deletions    % of changes
author 1              24           564             59            10.2
author 2              21           276             97            30.2

It would be useful to add an ext

For discussion, see IndrajeetPatil/ggstatsplot#333 (comment)

1. Add sample size estimation documentation.
2. Improve multiple correction documentation adding all formulas and assumptions.

feel free to add more

Was recently added in outliers and I'm not sure that this is properly documented.
@michielmeersmans could provide input too, who developed this.

See HdrHistogram/HdrHistogram_rust#74 (comment) for more context.

We save in fields (and write when serializing) the requested limits, not the actual limits that result from the underlying encoding (which will encompass at least as much as what the user requested, and maybe more). Perhaps we should expose the actual limits of what a particular histogram can do, rather th