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