Handling Missing Data in Cleaning Workflows

r

library(tidyverse)

missing_summary <- enrollment_data |>
  summarise(
    across(
      everything(),
      ~ sum(is.na(.x)),
      .names = "missing_{.col}"
    )
  )

missing_summary