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