Data Cleaning & Exploration in SQL
In this project, we cleaned 2022 layoffs worldwide data using MySQL. We first removed duplicates, then standardized the data (spelling issues, etc.), processed null and blank values, and finally removed unuseful columns. These preprocessing steps allowed us to perform an Exploratory Data Analysis with MySQL to get a better understanding of the data.
