{
    "action": "final",
    "content": "## Dataset Overview\n\nThis is a **Zomato restaurant market analysis dataset** containing information about restaurants listed on the Zomato platform across multiple countries and cities.\n\n### What a Single Row Represents\n\nEach row represents **one restaurant listing** on Zomato, uniquely identified by a `Restaurant ID`. The dataset contains **9,551 restaurant records**.\n\n### Key Information Captured\n\nThe dataset provides comprehensive details about each restaurant across several dimensions:\n\n**Location & Identity:**\n- Restaurant name and unique ID\n- Geographic coordinates (latitude/longitude)\n- Country (17 countries represented)\n- City (147 cities) and specific locality (1,237 distinct localities)\n- Physical address\n\n**Cuisine & Pricing:**\n- Cuisine types offered (1,851 distinct cuisine combinations)\n- Average cost for two people\n- Currency (11 different currencies)\n- Price range (1-4 scale)\n\n**Service Capabilities:**\n- Table booking availability\n- Online delivery availability\n- Current delivery status\n\n**Performance Metrics:**\n- Aggregate rating (0.0 to 4.9 scale)\n- Rating classification (color and text labels like \"Excellent\", \"Very Good\", \"Average\")\n- Number of votes received (0 to 10,934)\n\n### Primary Use Cases\n\nBased on the dataset structure, this data supports:\n- **Market analysis** for restaurant expansion decisions\n- **Competitive benchmarking** of ratings and pricing\n- **Geographic analysis** of restaurant density and service availability\n- **Cuisine trend analysis** across different markets\n- **Service capability assessment** (delivery vs. dine-in focus)\n\nThe data was ingested on 2026-09-28 and represents a snapshot of Zomato's restaurant listings at that point in time."
}