Count number of non-NA values for every column in a dataframe

Question

I have a big dataset that contains a lot of NAs and some non-Na values. At the moment I count my non-NA values for each column like this:

Answer 1

Try this:

nonNA_counts <- sapply(df, function(x) sum(!is.na(x)))