What does the selection method 'n-plus' accomplish?

The selection method 'n-plus' is designed to select a specific number of edges between models, enabling analysts to choose a defined number of dependent model relationships. This allows for precise control over which models to include based on their connections, particularly useful in dependency graphs. Using 'n-plus' can help isolate the relationships that matter most for a given analysis or project by narrowing down the set of models to those that are directly connected up to 'n' layers away in the dependency tree.

This technique is especially beneficial when dealing with large datasets where not all connections need to be considered, focusing instead on a targeted subset that carries meaningful insights or relevant data transformations.