Find columns with all missing values

Question

I am writing a function, which needs a check on whether (and which!) column (variable) has all missing values (NA, ). The following is fr

Answer 1

sapply(b,function(X) sum(is.na(X))

This will give you the count of na in each column of the dataset and also will give 0 if there is no na present in the column

Answer 2

dplyr approach to finding the number of NAs for each column:

df %>% 
  summarise_all((funs(sum(is.na(.)))))