```json { "table_name": "states", "primary_key": "state_id", "candidates": [ { "rank": 0, "partition_key": "state_id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "state_id is the unique identifier with RPUV=1.00, uniqueness=1.000, and perfect distribution (Top 3 Coverage=0.48%). It serves as the natural primary key for this dimension table of geographic states/provinces.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering keys as they are small reference tables without internal ordering requirements. This table has only 622 rows representing states/provinces across multiple countries.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a classic dimension table containing geographic state/province reference data. The state_id is the perfect primary key with complete uniqueness. The table includes states from multiple countries (27 unique country_ids) including US states, Canadian provinces, and UK counties. No clustering is needed for a reference table of this size." } ] } ```