UNLOCKING DATA'S POTENTIAL: A CLEANING HANDBOOK

Data is often messy. It arrives in various structures, riddled with inconsistencies. This makes it tough to interpret from. But don't worry! Data cleaning is a crucial step in any data project. It involves identifying these problems and transforming your raw data into a usable format. A well-cleaned dataset is the foundation for accurate findings.