WRANGLING YOUR RAW DATA: A CLEANING PRIMER

Data is often messy. It arrives in various structures, riddled with duplications. This makes it difficult to interpret from. But don't worry! 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 conclusions.