Data is often messy. It arrives in diverse layouts, riddled with errors. This makes it tough to analyze from. But don't panic! Data cleaning is a crucial step in any data project. It involves pinpointing these issues and scrubbing your raw data into a clean format. A well-cleaned dataset is the foundation for accurate results. Initiate by under