TAMING THE DATA WILDS: A GUIDE TO CLEANING

Data is often messy. It arrives in different formats, riddled with duplications. This makes it tough to interpret from. But don't fret! Data cleaning is a crucial step in any data exploration. It involves pinpointing these problems and transforming your raw data into a clean format. A well-cleaned dataset is the foundation for accurate findings.