{
    "action": "final",
    "content": "**No column has missing values.** The null-count query over `raw.Iris` (150 rows) returned 0 missing for every column, so every column is 0% missing:\n\n- Measurements: `SepalLengthCm`, `SepalWidthCm`, `PetalLengthCm`, `PetalWidthCm`\n- Identifier and label: `Id`, `Species`\n- Ingestion metadata: `_ingestion_timestamp`, `_batch_id`, `_source_file`, `_source_system`\n\nThe data is fully populated, so no imputation or row dropping is needed before analysis or modelling. This check counts only true NULLs. It does not look for placeholder values such as empty strings or sentinel numbers."
}