Data is often messy. It arrives in different formats, riddled with errors. This makes it difficult to interpret from. But don't fret! Data cleaning is a crucial step in any data project. It involves pinpointing these flaws and refining your raw data into a organized format. A well-cleaned dataset is the foundation for accurate findings. Begin b