```json { "action": "final", "content": "## Distinct Value Counts for Categorical Columns\n\nBased on the column inspection already performed, here are the distinct value counts for each categorical column in the dataset:\n\n| Column | Distinct Values |\n|--------|----------------|\n| Day | ~218 |\n| Total Calls | ~55 |\n| AI Handled | ~184 |\n| Human Handled | ~195 |\n| Voicemail | ~27 |\n| AI Resolution % | ~39 |\n| Human % | ~108 |\n| _unnamed_7 | ~117 |\n| _unnamed_8 | ~142 |\n| _unnamed_9 | ~5 |\n| _batch_id | 1 |\n| _source_file | 1 |\n| _source_system | 1 |\n\n### Key Observations\n\n- **Day** has the highest cardinality (~218 distinct values), suggesting it contains actual date values rather than just day-of-week names\n- **_unnamed_9** has only ~5 distinct values, making it the most categorical of the unnamed columns (likely sentiment labels based on the range shown)\n- The metadata columns (_batch_id, _source_file, _source_system) each have only 1 distinct value, indicating this is a single-batch ingestion\n- Most numeric-looking columns (Total Calls, AI Handled, Human Handled, etc.) show high cardinality, consistent with them being stored as VARCHAR but containing varying numeric values\n\nNote: The \"~\" prefix indicates these are approximate distinct counts from the column profiling metadata." } ```