Finding datasets, recipes, and operations by example — search by shape, data profile, or usage pattern
Algorithm Discovery lets you search across all your datasets and recipes by data profile — not just name or metadata. Search by column count, data types, value distribution, or schema similarity. Find datasets that match a particular shape, or recipes that produce a specific kind of output.
Recipes are ranked by usage frequency and recency. Frequently used recipes appear higher in discovery results. The system tracks which datasets feed which recipes, building a dependency graph that lets you trace data lineage forward and backward — from source file to final chart.
When you select a dataset, the Workbench analyses its column profiles — value ranges, cardinality, null percentage, type, and distribution shape — and suggests recipes that have been applied to similar datasets. This helps you discover workflows that worked for others (or for your past self) on similar data.