```json { "action": "final", "content": "## Missing Values Analysis\n\n**No columns have missing values in this dataset.**\n\nAll 14 columns in the `callyeah_analytics_2026_07_23` table have complete data across all 216 rows:\n\n- **Day**: 216/216 non-null (0% missing)\n- **Total Calls**: 216/216 non-null (0% missing)\n- **AI Handled**: 216/216 non-null (0% missing)\n- **Human Handled**: 216/216 non-null (0% missing)\n- **Voicemail**: 216/216 non-null (0% missing)\n- **AI Resolution %**: 216/216 non-null (0% missing)\n- **Human %**: 216/216 non-null (0% missing)\n- **_unnamed_7**: 216/216 non-null (0% missing)\n- **_unnamed_8**: 216/216 non-null (0% missing)\n- **_unnamed_9**: 216/216 non-null (0% missing)\n- **_ingestion_timestamp**: 216/216 non-null (0% missing)\n- **_batch_id**: 216/216 non-null (0% missing)\n- **_source_file**: 216/216 non-null (0% missing)\n- **_source_system**: 216/216 non-null (0% missing)\n\nThis indicates excellent data quality from a completeness perspective. Every row contains values for all columns, with no NULL or missing entries detected.\n\n*Note: While the columns are complete, several are typed as VARCHAR when they appear to contain numeric data (e.g., \"Total Calls\", \"AI Resolution %\"). This suggests the data may need type conversion for analytical purposes, but there are no missing values.*" } ```