md.pattern
Would it be possible to include a plot for patterns of missingness similar to the md.pattern functionality in the mice package in R?
Here's an example from that package:

this plot tells us the following: 13 observations have 0 missing values 3 observations have missing values on chl only 10 observations have missing values on chl etc...
the patterns are easily visible and compact: the plot scales with the number of missingness patterns, not with the number of rows in the dataframe!
This is a neat idea! Will see what I can do.
I am both interested in the feature and interested in contributing to this. This would be especially handy with data that exceeds memory (so would be great to make this dask compatible).
@vankesteren: while the PR is reviewed, it would be great if you could do an independent test-drive of the new pattern function.
I'll see what I can do!
Looks great! Here is the pattern function applied to the same dataset:

I do have the following suggestions:
- there is some information missing:
- add the number of missing values in the pattern (right margin of the
md.patternR plot above) - There are no column counts (bottom row in the
md.patternplot)
- add the number of missing values in the pattern (right margin of the
- add a method for visualisation or a suggestion on how to visualise this in the documentation
- call the
mvcountcolumn simplycount(or to avoid overlap with the column names, maybe something like_count_?).mvcountin my head goes immediately to "multivariate count"
Thanks for the suggestions!
re: adding number of missing values: do you have a suggestion for the name of this column? values_missing?
yeah, that works! or maybe n_missing?