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dcc_report_model() is the single reporting source for
staff, statistical, and machine outputs. A statistical bundle does not
recalculate cleaning decisions: it writes the model’s complete findings,
audit, reconciliation, before/after missingness and distributions,
types, scoring, mapping, parameters, hashes, and provenance.
out_dir <- file.path(tempdir(), "dcc-run")
run <- dcc_run(data_path, plan = plan_path, output_dir = out_dir,
mode = "execute")
model <- dcc_report_model(run$result, run)
dcc_report_statistical(model, file.path(out_dir, "statistical"),
table_format = "parquet")Use CSV when a plain-text exchange format is required. CSV files are
UTF-8 and RFC 4180-compatible. Parquet retains canonical column types.
In both cases artifact-manifest.json records a SHA-256
digest for every artifact except the manifest itself.
The distribution exports are complete rather than sampled and can therefore contain sensitive values. Store the statistical directory under the same access controls as the cleaned data and audit log. Staff reports remain redacted by default, while PDF is optional and is not part of the base report contract.
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.
Health stats visible at Monitor.