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.