This project involves exploratory data analysis (EDA) on an Online Retail dataset using SQL. The goal is to uncover key business insights from transaction-level data, such as sales trends, customer behavior, product performance, and geographic contributions.
The dataset contains transactional records of an online retail store, including the following columns:
InvoiceNo: Unique invoice number
Description: Product description
Quantity: Quantity of the product purchased
UnitPrice: Price per unit
CustomerID: Unique customer identifier
InvoiceDate: Date of the transaction
Country: Customer's country