Data is often messy. It arrives in different formats, riddled with duplications. This makes it challenging to interpret from. But don't worry! Data cleaning is a crucial step in any data exploration. It involves pinpointing these issues and refining your raw data into a organized format. A well-cleaned dataset is the foundation for accurate results