This repository conducts SQL exploratory data analysis on a layoffs dataset. It cleans, queries, and analyzes data to identify trends and patterns across companies, time periods, industries, and regions. Key questions addressed include which companies laid off the most employees and when layoffs peaked.
From the README
📊 Layoffs Data Analysis using SQL 🔍 Project Overview This project explores a real-world layoffs dataset to uncover trends across companies, time periods, industries, and regions. The goal is to answer key questions such as: • Which companies laid off the most employees? • When did layoffs peak? • Which countries and stages were most affected? • Are layoffs random or pattern-driven? --- 📁 Dataset The dataset contains: • Company name • Date of layoff • Total employees laid off • Percentage of workforce laid off • Company stage • Country • Funds raised (in millions) --- ⚙️ Tools & Technologies • SQL (MySQL) • Window Functions • Common Table Expressions (CTEs) --- 📌 Key Analysis...
Skills
- business-analysis
- data-analysis
- data-science
- eda
- exploratory-data-analysis
- mysql
- sql
- sql-project
