{
    "action": "final",
    "content": "## Dataset Columns\n\nThe ITTF Player Info dataset contains **13 columns** across 37,620 player records:\n\n### Player Identification\n- **Player ID** (BIGINT) — Unique identifier for each player, ranging from 90,000 to 146,262\n- **Name** (VARCHAR) — Player's full name (~37,273 unique names)\n\n### Demographics & Classification\n- **Assoc** (VARCHAR) — Player's national association/country code (~225 countries/regions represented)\n- **Gender** (VARCHAR) — Player's gender (Male or Female)\n- **Birth year** (BIGINT) — Year of birth, ranging from 0 to 2014 (9,435 records have missing birth years)\n\n### Player Status & Characteristics\n- **Activity** (VARCHAR) — Current activity status (Active, Inactive, or blank)\n- **Playing hand** (VARCHAR) — Dominant hand used for playing (Right-handed, Left-handed, or other variations)\n- **Playing style** (VARCHAR) — Style of play (Attacker, All-rounder, Defender, or blank)\n- **Grip** (VARCHAR) — Type of paddle grip used (Shakehand, Penhold, or other variations)\n\n### Data Lineage (Technical Metadata)\n- **_ingestion_timestamp** (TIMESTAMP) — When the record was loaded into the system (2026-08-11 00:30:35)\n- **_batch_id** (VARCHAR) — Batch identifier for the data load (batch_523346f60577)\n- **_source_file** (VARCHAR) — Original CSV file path\n- **_source_system** (VARCHAR) — Source system identifier (api)\n\nThe dataset provides comprehensive information about table tennis players registered with the International Table Tennis Federation (ITTF), including their biographical details, playing characteristics, and current status."
}