Taming the Data Wilds: A Guide to Cleaning
Data is often messy. It arrives in diverse layouts, riddled with duplications. This makes it difficult to interpret from. But don't worry! Data cleaning is a crucial step in any data analysis. It involves identifying these flaws and scrubbing your raw data into a organized format. A well-cleaned dataset is the foundation for accurate conclusions.