H10 Select rows

Use your current course session. Preparation and course runner · R script ↓

H10 Select rows

Goal: Create a deliberate subset.

Prerequisites: H09.

Use a separate product variant so the complete portfolio remains available for metrics.

training_step(
  "H10",
  {
    active_recipe <- rounding_recipe |> dr_step_filter(!cancelled)
    active_product <- policy_product |> dr_add_recipe(active_recipe)
    active_rows <- dr_collect(dr_run(active_product, write = FALSE))
    print(active_rows)
    stopifnot(nrow(active_rows) == 5L)
  },
  needs = c("H09")
)

Expected result: Five rows, excluding the marked policy.

Task: Can this subset alone give us a cancellation rate?