```json { "classifications": [ { "column": "year", "role": "dimension", "confidence": 1.0, "reason": "Temporal dimension used to slice/filter Olympic data by year; 10 distinct values suitable for GROUP BY" }, { "column": "event", "role": "dimension", "confidence": 1.0, "reason": "Categorical dimension with 7 distinct event types; used to group and filter medal data" }, { "column": "medal", "role": "dimension", "confidence": 1.0, "reason": "Categorical dimension with 3 medal types (Bronze, Gold, Silver); used for grouping and filtering" }, { "column": "country", "role": "dimension", "confidence": 1.0, "reason": "Categorical dimension with 12 distinct countries; primary axis for grouping medal counts" }, { "column": "medalist", "role": "attribute", "confidence": 1.0, "reason": "Descriptive text with 105 distinct names; displayed but not aggregated or grouped due to high cardinality" }, { "column": "is_china", "role": "dimension", "confidence": 1.0, "reason": "Boolean flag (0/1) used to filter or segment data by China vs. non-China" }, { "column": "medal_value", "role": "measure", "confidence": 0.95, "reason": "Numeric ranking (1-3) representing medal value; can be aggregated (sum/avg) for scoring analysis" }, { "column": "event_type", "role": "dimension", "confidence": 1.0, "reason": "Categorical dimension with 3 types (Doubles, Singles, Team); used for grouping and filtering" }, { "column": "gender", "role": "dimension", "confidence": 1.0, "reason": "Categorical dimension with 3 values (Men, Mixed, Women); used to segment and filter data" }, { "column": "era", "role": "dimension", "confidence": 1.0, "reason": "Categorical temporal dimension with 3 distinct eras; used to group data by time period" } ] } ```