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An SQL-based analysis of Zomato's database, including gold user signups, user information, sales, and product details, to uncover insights on user behavior and sales performance using MySQL.

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SQL_Zomato_Analysis

An analysis of Zomato, a popular food delivery platform, using SQL queries. The analysis involved working with a database containing tables for gold user signups, user information, sales, and product details.

SQL queries used in the project include:

  • Counting the number of gold user signups.
  • Calculating the average price of products.
  • Determining the total sales amount.
  • Calculating the total amount spent by each customer on Zomato.
  • Counting the number of days each customer visited Zomato.
  • Identifying the first product purchased by each customer.
  • Determining the most purchased item on the menu and how many times it was purchased by all customers.
  • Identifying the most popular item for each customer.
  • Determining the item purchased first by the customer after they became a member.
  • Identifying the item purchased just before the customer became a member.
  • Calculating the total orders and amount spent for each member before they became a member.

These queries were used to extract meaningful insights from the Zomato database and provide valuable information about user behavior, popular items, and member-related analysis.

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An SQL-based analysis of Zomato's database, including gold user signups, user information, sales, and product details, to uncover insights on user behavior and sales performance using MySQL.

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