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At the moment miss_summary returns a tibble with lists of the other summaries.
This should change, and at the time I thought it would be useful to use list columns because they were new and a neat way of storing info. I think that miss_summary should instead be something like this:
miss_prop_summary(airquality)
# A tibble: 1 x 3
df var case
<dbl> <dbl> <dbl>
1 0.0479 0.333 0.275
But transposed:
# A tibble: 3 x 2
type prop_miss
<chr> <dbl>
1 df 0.0479
2 vars 0.333
3 cases 0.275
I need to provide key summaries of the missingness in the data for:
It also needs to work with
group_by()
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