DATASET ECDF CALCULATOR¶
Computes the Empirical Cumulative Distribution Function (ECDF) for one or more numeric columns in a dataset. Use this worker to transform raw data into cumulative probability distributions for statistical analysis or visualization.
When to use¶
Classification: process.
Tagged: cumulative_distribution, distribution, ecdf, empirical_cdf, statistics.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset_1 | dataset | — | Input dataset containing the numeric columns to compute the ECDF on; leave unconnected only if the dataset is supplied via a chained transformation. | |
| Target Columns | column_names_regex | scalar | — | One or more target column names (selected from dataset_1) for which the ECDF will be calculated; leave empty to apply to all numeric columns. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| ECDF | dataset_ecdf_calculator | dataset | Output dataset containing the sorted values and their corresponding empirical cumulative probabilities (0–1) for each selected column. |
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_ecdf_calculator
Auto-generated from transformation schema. Worker id: dataset_ecdf_calculator. Schema hash: 06bb3e94d702. Hand-curated docs in workerexamples/ override this page when present.