SCAN THE DATASET AND COMPARE ITS COLUMN VALUES TO A REFERENCE DATASET AND FLAG IF THEY ARE IN OR OUT OF RANGE OF THE REFERENCE VALUES

Scans a dataset by comparing selected column values against the min/max range observed in a reference dataset, then flags each row as in-range or out-of-range. Use this worker to quickly identify anomalous or invalid records relative to a known-good baseline.

When to use

Classification: process.

Tagged: data_quality, flagging, out_of_range, range_check, reference_dataset, scan, validation.

Inputs

Label ID Type Default Required Description
Dataset dataset dataset —   The input dataset to be scanned; each row in the selected columns will be compared against the reference range.
Reference Dataset dataset_ref dataset —   The reference dataset whose column min/max values define the valid range boundaries used for comparison.
Columns To Scan cols select —   One or more column names (drawn from the input dataset) to evaluate against the reference range; leave empty to scan all matching columns.

Outputs

Label ID Type Description
Dataset Scanned dataset_scanned dataset A copy of the input dataset augmented with a flag column indicating whether each row’s values fall within (‘in-range’) or outside (‘out-of-range’) the reference bounds for the selected columns.

Disciplines

  • data.dataset.transform
  • data.statistics

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_scan_out_of_range_rows


Auto-generated from transformation schema. Worker id: dataset_scan_out_of_range_rows. Schema hash: 2a57ee4ac7d1. Hand-curated docs in workerexamples/ override this page when present.