Proportions of missings in data, variables, and cases.

Return missing data info about the dataframe, the variables, and the cases. Specifically, returning how many elements in a dataframe contain a missing value, how many elements in a variable contain a missing value, and how many elements in a case contain a missing.

Usage

miss_prop_summary(data)

Arguments

data

a dataframe

Value

a dataframe

See also

pct_miss_case() prop_miss_case() pct_miss_var() prop_miss_var() pct_complete_case() prop_complete_case() pct_complete_var() prop_complete_var() miss_prop_summary() miss_case_summary() miss_case_table() miss_summary() miss_var_run() miss_var_span() miss_var_summary() miss_var_table()

Examples

miss_prop_summary(airquality)
#> # A tibble: 1 × 3
#>       df   var  case
#>    <dbl> <dbl> <dbl>
#> 1 0.0479 0.333 0.275
if (FALSE) {
library(dplyr)
# respects dplyr::group_by
airquality %>% group_by(Month) %>% miss_prop_summary()
}