sort_by_missingness: Sort Variables according to missingness
In Nelson-Gon/missplore: Missing Data Explorer

Description Usage Arguments Value See Also Examples

Provides a useful way to sort the variables(columns) according to their missingness.

1	sort_by_missingness(df, sort_by = "counts", descending = FALSE, ...)

`df`	A data.frame object
`sort_by`	One of counts or percents. This determines whether the results are sorted by counts or percentages.
`descending`	Logical. Should missing values be sorted in decreasing order ie largest to smallest? Defaults to FALSE.
`...`	Other arguments to specific functions. See "See also below"

A 'data.frame' object sorted by number/percentage of missing values

get_na_counts percent_missing

sort_by_missingness(airquality, sort_by = "counts")
# sort by percents
sort_by_missingness(airquality, sort_by="percents")
# descending order
sort_by_missingness(airquality, descend = TRUE)