This repository explores global layoffs trends across industries, countries, and regions, alongside demographic patterns in parks and recreation. The project includes data cleaning and exploratory analysis using MySQL.
A complete SQL-based project analyzing global company layoffs between 2020 and 2023. Includes data cleaning, duplication handling, date standardization, and exploratory analysis to uncover key trends by country, sector, and year — all done using MySQL.
Analyze global company layoffs using SQL: data cleaning, deduplication, and exploratory analysis to uncover trends across industries, countries, companies, and time.
A practical SQL data cleaning project that standardizes and prepares the Global Layoffs dataset for analysis using SQL techniques like window functions, staging tables, and data quality checks.
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