```json { "action": "final", "content": "## Column Classification for Callyeah Analytics Dataset\n\nBased on the column metadata and sample data, here's the classification of all 14 columns in `raw.callyeah_analytics_2026_07_23`:\n\n### **Identifiers** (3 columns)\n- `_batch_id` — ingestion batch identifier (1 distinct value: \"batch_bc2086992fe4\")\n- `_source_file` — source file path identifier\n- `_source_system` — source system identifier (value: \"api\")\n\n### **Dates/Times** (2 columns)\n- `Day` — the primary temporal dimension; stores day-of-week labels (\"Mon\", \"Tue\", \"Wed\", etc.) plus aggregate labels (\"TOTAL\", \"Today\"). While stored as VARCHAR, this is the dataset's time axis.\n- `_ingestion_timestamp` — system timestamp when data was loaded (TIMESTAMP type, single value: 2026-09-29 17:23:34)\n\n### **Categorical Dimensions** (0 columns)\nNo traditional categorical dimensions are present. The `Day` column serves as the sole grouping dimension, functioning as a temporal category.\n\n### **Numeric Metrics** (5 columns)\nAll stored as VARCHAR but containing numeric values:\n- `Total Calls` — total call volume (ranges 93-435 per day, 2,058 total)\n- `AI Handled` — calls handled by AI (ranges 74-363 per day, 1,654 total)\n- `Human Handled` — calls escalated to humans (ranges 19-87 per day, 404 total)\n- `Voicemail` — calls going to voicemail (ranges 4-17 per day, 82 total)\n- `AI Resolution %` — percentage of calls resolved by AI (ranges 74.6%-83.4%)\n- `Human %` — percentage requiring human handling (ranges 16.6%-25.4%)\n\n### **Unknown/Unnamed Columns** (4 columns)\n- `_unnamed_7`, `_unnamed_8`, `_unnamed_9` — purpose unclear from metadata alone; all VARCHAR with varying distinct counts (117, 142, and 5 respectively). The sample data shows these as empty in the visible rows, but their high distinct counts suggest they contain data in other rows. Based on the range hints mentioning \"Duration\", \"Sentiment Score\", and \"Sentiment Label\", these likely contain:\n - Call duration metrics (possibly in seconds and formatted time)\n - Sentiment analysis scores and labels\n\n### **Key Observations**\n1. **Type inconsistency**: Core metrics are stored as VARCHAR rather than numeric types, requiring CAST operations for mathematical operations\n2. **Mixed grain**: The dataset mixes daily detail rows (Thu-Today) with aggregate rows (TOTAL), which affects analysis queries\n3. **Derived measures**: `AI Resolution %` and `Human %` are pre-calculated percentages rather than raw counts\n4. **Limited dimensionality**: Only one grouping dimension (day-of-week) is available; no customer segments, product categories, or geographic dimensions are present" } ```