Data is often messy. It arrives in various structures, riddled with errors. This makes it tough to analyze from. But don't worry! Data cleaning is a crucial step in any data project. It involves spotting these problems and refining your raw data into a usable format. A well-cleaned dataset is the foundation for accurate results. Start by unders