Ounias documentation

Guides and reference material for preparing data, creating analyses, and working with analytical outputs in Ounias.

Getting started

Prepare, import, and configure tabular data for analysis in Ounias.

Structure your dataset for unsupervised, supervised, longitudinal, or external-result analysis before uploading it to Ounias.

Upload a prepared dataset, review its contents, assign analytical roles, validate the configuration, and make it available for analysis.

Explanations for Ounias-specific concepts, analytical choices, and workflows that may not be obvious from the interface alone.

Understand the difference between clustering directly on dataset features and clustering on a generated lower-dimensional representation.

Understand how Ounias interprets dataset columns and why their assigned roles affect downstream analyses.

Export derived datasets, plots, trained models, and structured analytical outputs for use outside Ounias.

Understand how Ounias represents analyses and preserves the relationships between original and derived runs.

Understand how Ounias organizes heterogeneous analytical metrics into comparable higher-level dimensions.

Configure repeated observations so Ounias can evaluate state changes, transitions, timing, and trajectories.

Understand what happens when an imported dataset changes and how Ounias preserves analyses associated with earlier dataset states.

Preserve a selected analytical state as an immutable, view-only reference that can be shared independently of the live workspace.