Extract columns that are all 'NA' from a tibble

This helper function extracts the names of the columns in a tibble having NA values for all observations.

get_all_na_cols(tbl)

Arguments

tbl

R object(dataframe or tibble) of the input tibble

Value

A vector string indicating either that the tibble does not have empty columns or the names of the empty columns.

Examples

{

##### Example 1 -------------------------------------------------------------
# All columns have observation
get_all_na_cols(iris)

##### Example 2 -------------------------------------------------------------
# One column doesn't have any observations
library(dplyr)
get_all_na_cols(mutate(iris, new_col = NA))

}
#> # A tibble: 1 × 2
#>   condition    col_name
#>   <chr>        <chr>   
#> 1 Empty column new_col