TAMING THE DATA WILDS: A GUIDE TO CLEANING

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