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Importing external targets with evidence

WFC 2.0 imports targets from a finalized CSV or Excel table and a companion DCF evidence record. It does not construct a production target from an unexplained runtime table.

dims <- wf_dims(
  age_group = c("18-34", "35-54", "55+"),
  region = c("north", "south")
)

wf_target_template("population-margins.csv", dims)

Complete the companion population-margins.csv.source.dcf with publisher, dataset title, citation, reference period, population scope, retrieval date, license, transformation, selection timing, demo status, and the final SHA-256.

target <- wf_import_target(
  "population-margins.csv",
  "population-margins.csv.source.dcf",
  dims,
  key_map = c(age_group = "age_group", region = "region"),
  count = "population_count",
  production = TRUE
)

For joint-cell post-stratification, the imported population table must contain the required joint combinations. For an independent reference sample, use wf_import_reference() with its own evidence file.

The checksum proves that the imported data match the evidence record. It does not prove that the publisher, transformation, or scientific choice is valid; those remain review questions.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.