{
    "action": "final",
    "content": "## Column Classification\n\nBased on the metadata inspection, here's how the 25 columns in the Zomato Restaurant Dataset break down:\n\n### **Identifiers** (1 column)\n- **Restaurant ID** — unique identifier for each restaurant (BIGINT, ~10,020 distinct values)\n\n### **Categorical Dimensions** (9 columns)\n- **Cuisines** — types of food served (~1,851 distinct values)\n- **Currency** — payment currency (11 distinct values)\n- **Rating color** — visual rating indicator (6 distinct values: Dark Green, Yellow, etc.)\n- **Rating text** — textual rating category (6 distinct values: Average, Very Good, etc.)\n- **Price range** — price tier (4 distinct values: 1-4)\n- **Has Table booking** — boolean flag (2 values: true/false)\n- **Has Online delivery** — boolean flag (2 values: true/false)\n- **Is delivering now** — boolean flag (2 values: true/false)\n- **Switch to order menu** — boolean flag (1 value: always false)\n\n### **Spatial/Geographic Dimensions** (6 columns)\n- **Country Code** — numeric country identifier (17 distinct values)\n- **City** — city name (147 distinct cities)\n- **Locality** — neighborhood/area (1,237 distinct localities)\n- **Locality Verbose** — detailed locality description (1,042 distinct values)\n- **Longitude** — geographic coordinate (DOUBLE, ~6,192 distinct values)\n- **Latitude** — geographic coordinate (DOUBLE, ~11,487 distinct values)\n\n### **Numeric Metrics** (3 columns)\n- **Average Cost for two** — price metric (BIGINT, 156 distinct values, range 0-800,000)\n- **Aggregate rating** — restaurant rating score (DOUBLE, 34 distinct values, range 0.0-4.9)\n- **Votes** — number of user votes (BIGINT, 1,219 distinct values, range 0-10,934)\n\n### **Dates/Times** (1 column)\n- **_ingestion_timestamp** — when the data was loaded (TIMESTAMP, single value: 2026-09-28 10:07:46)\n\n### **Metadata/System Columns** (3 columns)\n- **_batch_id** — data loading batch identifier\n- **_source_file** — source file path\n- **_source_system** — data source system (value: \"api\")\n\n### **Text Attributes** (2 columns)\n- **Restaurant Name** — name of the restaurant (~7,003 distinct values)\n- **Address** — street address (~8,428 distinct values)\n\n**Note:** The dataset has no business date/time columns for analysis — the only temporal column is the technical ingestion timestamp, which is constant across all rows (single batch load)."
}