{
    "action": "final",
    "content": "## Missing Values Analysis\n\nThe dataset has **only one column with missing values**:\n\n- **Birth year**: 9,435 missing values out of 37,620 rows = **25.1% missing**\n\nAll other columns in the `ittf_player_info` table are complete with 0% missing data:\n- Player ID\n- Name\n- Assoc (Association)\n- Gender\n- Activity\n- Playing hand\n- Playing style\n- Grip\n- All metadata columns (_ingestion_timestamp, _batch_id, _source_file, _source_system)\n\nThe Birth year missingness is substantial at about one-quarter of all records, which means age-based analyses will need to account for this limitation. However, the completeness of all other player attributes (demographics, playing characteristics, and activity status) means the dataset is otherwise well-populated for most analytical purposes."
}