Data Cleaning and Preparation in R

Common Cleaning Risks and How to Avoid Them

Code Example 1

30-45 minutes Applied Step 4 of 5

Code

Code Example 1

4 / 5

Code

Code Example 1

n_before <- nrow(enrollment_prepared)

baseline_dataset <- enrollment_prepared |>
  filter(visit_name == "Baseline")

n_after <- nrow(baseline_dataset)

tibble(
  step = "Filter to baseline visit",
  records_before = n_before,
  records_after = n_after,
  records_removed = n_before - n_after
)