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pizza-hut-data-analysis's Introduction

This SQL project revolves around a database schema designed to manage and analyze data for a pizza store. The database consists of four primary tables:

orders

order_details

pizzas

pizza_type

Each table plays a crucial role in storing different facets of the business operations, from individual orders to the types of pizzas offered. Below is a detailed description of each table and its columns:

  1. order_details: — order_details_id: A unique identifier for each entry in the order details. — order_id: References the ID from the orders table, linking the order detail to a specific order. — pizza_id: References the ID from the pizzas table, identifying which pizza was ordered. — quantity: The number of pizzas ordered of the specified type.

  2. pizzas: — pizza_id: A unique identifier for each type of pizza available. — pizza_type_id: Links to the pizza_types table, specifying the type of pizza. — size: The size of the pizza (e.g., small, medium, large). — price: The cost of the pizza.

  3. orders: — order_id: A unique identifier for each order placed. — date: The date on which the order was placed. — time: The time at which the order was placed.

  4. pizza_types: — pizza_type_id: A unique identifier for each type of pizza. — name: The name of the pizza type (e.g., Margherita, Pepperoni). — category: Categorizes the pizza (e.g., Vegetarian, Non-Vegetarian). — ingredients: Lists the ingredients used in the pizza.

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