การใช้ replace_with_na

# Print the top of the pacman data using `head()`
head(___)

# Replace the strange missing values "N/A", "na", and  
# "missing" with `NA` for the variables, year, and score
pacman_clean <- replace_with_na(_____, replace = list(year = c(___, ___, ___),
                                score = c(___, ___, ___)))
                                        
# Test if `pacman_clean` still has these values in it?
miss_scan_count(____, search = list(___, ___, ___))