{
    "action": "final",
    "content": "## Dataset Columns\n\nThis dataset contains **14 columns** tracking Olympic table tennis medals from 1988 to 2024:\n\n### Core Data Columns\n\n| Column | Data Type | Meaning |\n|--------|-----------|----------|\n| **year** | BIGINT | Olympic year (1988–2024) |\n| **event** | VARCHAR | Competition event (e.g., \"Men's doubles\", \"Women's team\") — 7 distinct events |\n| **medal** | VARCHAR | Medal type: Bronze, Gold, or Silver |\n| **country** | VARCHAR | Country that won the medal — 13 countries represented |\n| **medalist** | VARCHAR | Name(s) of the athlete(s) who won — 107 unique medalists |\n| **is_china** | BIGINT | Binary flag: 1 if China won, 0 otherwise |\n| **medal_value** | BIGINT | Numeric medal ranking: 3 (Gold), 2 (Silver), 1 (Bronze) |\n| **event_type** | VARCHAR | Category of event: Doubles, Singles, or Team |\n| **gender** | VARCHAR | Gender category: Men, Women, or Mixed |\n| **era** | VARCHAR | Historical period: \"Pre-reform (1988-2004)\", \"Reform era (2008-2016)\", or \"Modern era (2020+)\" |\n\n### Metadata Columns\n\n| Column | Data Type | Meaning |\n|--------|-----------|----------|\n| **_ingestion_timestamp** | TIMESTAMP | When this data was loaded into the system |\n| **_batch_id** | VARCHAR | Unique identifier for the data ingestion batch |\n| **_source_file** | VARCHAR | Path to the original CSV file |\n| **_source_system** | VARCHAR | Source system identifier (\"api\") |\n\n### Key Insights\n\n- **No missing data**: All 14 columns have zero nulls across all 132 rows\n- **Temporal coverage**: Spans 11 Olympic years from 1988 to 2024\n- **Geographic scope**: 13 countries have won Olympic table tennis medals\n- **China tracking**: The `is_china` flag suggests China's dominance is a notable aspect of this dataset\n- **Structured categorization**: Multiple classification dimensions (era, event_type, gender) enable rich analysis of medal patterns over time and across competition formats"
}