DATASET GET COLUMN VALUES

Extracts values from one or more columns of a dataset and returns them as a delimited scalar string. Supports aggregation modes (all, min, max, avg, mode, unique, sum, histogram) so downstream workers can consume column data without loading the full dataset. Use it to inspect, filter, or summarise specific columns within a workflow.

When to use

Classification: process.

Tagged: aggregation, avg, column, dataset, delimited, extract, histogram, max.

Inputs

Label ID Type Default Required Description
Dataset dataset_1 dataset   Input dataset whose column values are to be extracted; accepts any tabular dataset object available in the workflow.
Column Names column_names scalar   One or more column names to extract from the dataset; multiple selections are supported and the list is dynamically populated from dataset_1’s headers.
Col Delimiter col_delimiter scalar ,   Character used to separate values belonging to different columns in the output string; defaults to comma (‘,’).
Row Delimiter row_delimiter scalar :   Character used to separate individual row values within a single column in the output string; defaults to colon (‘:’).
Type Of Value To Return type_of_value_to_return scalar all   Aggregation mode applied before returning values: ‘all’ returns every row value, while ‘min’, ‘max’, ‘avg’, ‘mode’, ‘sum’, ‘unique’, and ‘histogram’ return the corresponding statistic; defaults to ‘all’.

Outputs

Label ID Type Description
Column Values column_values scalar Delimited scalar string containing the extracted (and optionally aggregated) column values, with columns separated by col_delimiter and rows separated by row_delimiter; unique values are deduplicated when reduce_type is ‘unique’.

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_get_column_values


Auto-generated from transformation schema. Worker id: dataset_get_column_values. Schema hash: bc60d9bf6537. Hand-curated docs in workerexamples/ override this page when present.