Are you developing an automated exploration tool? Here we propose some alternatives to drop columns with high percentage of NAs.
In this previous tip we talk about BaseR vs Tidy & Purrr counting NAs performance.
Not leaving the pipeflow. How much does it cost?;) It depends on the NA distribution between features and its number, but not much that a few nanoseconds in small and big datasets
Soooo what’s your choice??