data preprocessing

Data preprocessing is the process of preparing and cleaning raw data before analysis. It involves steps like removing errors or duplicates, filling in missing information, converting data into a usable format, and organizing it for consistency. This ensures that the data is accurate and reliable, leading to more meaningful and accurate results when modeling or making decisions. Think of it as tidying up your workspace so everything is in the right place and ready to work with efficiently.