🔹 SQL Data Cleaning – Global Layoffs Dataset

This project illustrates practical SQL-based data cleaning using a publicly available Global Layoffs dataset from Kaggle. The focus is on transforming raw data into a standardized, consistent, and high-quality dataset suitable for analysis or reporting.

🔍 What I Did

• Preserved the raw dataset and cleaned using staging tables
• Removed duplicate records using ROW_NUMBER()
• Standardized company, industry, country, and date fields
• Handled NULL and missing values logically
• Filtered out rows lacking usable layoff information

🛠️ Tools & Concepts Used

• SQL (MySQL-compatible)
• Window functions (ROW_NUMBER)
• Data standardization
• Date transformation
• Data quality validation

🎯 Outcome

A clean and consistent dataset that is ready for exploratory data analysis or further reporting tasks.