This repository contains SQL queries designed to analyze Walmart sales data, offering insights into transactions, product categories, revenue trends, and customer behavior.
This repository contains SQL queries designed to analyze Walmart sales data, offering insights into transactions, product categories, revenue trends, and customer behavior. The queries help in understanding sales performance, optimizing inventory, and making data-driven business decisions.
The dataset includes transaction records with details like product categories, branch locations, unit prices, quantities sold, and profit margins.
✅ Sales Insights – Analyze total transactions, revenue, and profit.
✅ Category Trends – Identify popular product categories and purchasing patterns.
✅ Branch Performance – Compare revenue and profitability across different locations.
✅ Customer Behavior – Understand purchasing trends and preferences.
- Run the SQL queries in Google BigQuery, MySQL, or any SQL-compatible database.
- Modify queries as needed for deeper analysis.
- Utilize the insights to improve business strategies and operations.
📈 Dive into the data and uncover valuable insights! 🚀