Data Cleaning

Data cleaning, also known as data cleansing or data scrubbing, is the process of identifying and fixing errors or inconsistencies in datasets to ensure accuracy and reliability. This involves removing duplicate entries, correcting inaccuracies, and filling in missing information. It’s a critical step in data analysis, helping businesses make informed decisions based on high-quality data.