Check for rows with NA values

A general function that checks the number of NA rows for a particular column.

Usage

check_missing_rows(df, .col_name, .group_by)

Arguments

df

tibble Dataset to check.

.col_name

str Name of the target column.

.group_by

str or list A string or a list of strings to group the check by.

Value

tibble A summary of the number of rows missing for the target variable.

Examples

if (FALSE) { # \dontrun{
raw.data <- get_all_polio_data(attach.spatial.data = FALSE)
missing <- check_missing_rows(raw.data$afp, "age.months", c("place.admin.0", "yronset"))
} # }