https://github.com/alekrish-12/online_retailer-database

WINAIM BACKEND DATABASE ASSIGNMENT: The Online Retailer Database project aims to evaluate the ability to work with transactional data, aggregate functions, and subqueries. By designing a comprehensive database schema and writing SQL queries
https://github.com/alekrish-12/online_retailer-database

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WINAIM BACKEND DATABASE ASSIGNMENT: The Online Retailer Database project aims to evaluate the ability to work with transactional data, aggregate functions, and subqueries. By designing a comprehensive database schema and writing SQL queries

• Host: GitHub
• URL: https://github.com/alekrish-12/online_retailer-database
• Owner: Alekrish-12
• Created: 2024-06-16T16:16:11.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-02T10:01:51.000Z (almost 2 years ago)
• Last Synced: 2025-03-01T14:17:59.635Z (over 1 year ago)
• Topics: commands, database, gitbash, github-config, schema, sql
• Homepage: https://github.com/Alekrish-12/Online_Retailer-Database
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# WINAIM-Assignment - Online_Retailer-Database

Objective

The Online Retailer Database project aims to evaluate the ability to work with transactional data, aggregate functions, and subqueries. By designing a comprehensive database schema and writing SQL queries to perform various operations on the data, this project assesses proficiency in database management and querying.

Database Schema Design

The database schema includes tables for customers, orders, products, and order_items:

customers: Contains information about customers, including customer_id, first_name, last_name, and email.

orders: Stores details of orders placed, such as order_id, customer_id, and order_date.

products: Holds information about products available for purchase, with fields like product_id, product_name, and price.

order_items: Records the items included in each order, including order_item_id, order_id, product_id, quantity, and price.

SQL Queries

The following SQL queries demonstrate the functionality of the Online Retailer Database:

Total Number of Orders per Customer:

SELECT c.customer_id, c.first_name, c.last_name, COUNT(o.order_id) AS total_orders

FROM customers c

LEFT JOIN orders o ON c.customer_id = o.customer_id

GROUP BY c.customer_id, c.first_name, c.last_name;

Products Never Ordered:

SELECT p.product_id, p.product_name

FROM products p

LEFT JOIN order_items oi ON p.product_id = oi.product_id

WHERE oi.order_item_id IS NULL;

Customer Who Spent the Most in Last Month:

SELECT c.customer_id, c.first_name, c.last_name, SUM(oi.quantity * oi.price) AS total_spent

FROM customers c

JOIN orders o ON c.customer_id = o.customer_id

JOIN order_items oi ON o.order_id = oi.order_id

WHERE o.order_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH)

GROUP BY c.customer_id, c.first_name, c.last_name

ORDER BY total_spent DESC

LIMIT 1;

#OUTPUT :

![Screenshot (82)](https://github.com/Alekrish-12/Online_Retailer-Database/assets/170092296/a35907fa-de81-4de7-ba75-c394213895b1)

Conclusion

The Online Retailer Database project demonstrates proficiency in database design and SQL querying techniques. By implementing the specified requirements, it provides a foundation for managing transactional data efficiently in an online retail environment.