.. _auto_dataset_ecdf_calculator: *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 ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - 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 ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - 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 `_ .. raw:: html

Auto-generated from transformation schema. Worker id: dataset_ecdf_calculator. Schema hash: 06bb3e94d702. Hand-curated docs in workerexamples/ override this page when present.