UNLOCKING DATA'S POTENTIAL: A CLEANING HANDBOOK

Data is often messy. It arrives in diverse layouts, riddled with duplications. This makes it difficult to interpret from. But don't panic! Data cleaning is a crucial step in any data exploration. It involves spotting these issues and transforming your raw data into a organized format. A well-cleaned dataset is the foundation for accurate findings.