Data Cleansing

Data cleansing is the process of identifying and correcting errors or inconsistencies in data to ensure it is accurate and reliable. It involves removing duplicate entries, fixing typos, filling in missing information, and standardizing formats. This is important because clean data leads to better decisions, insights, and outcomes in various fields, from business to research. Essentially, data cleansing improves the quality of information, making it useful and trustworthy for analysis and reporting.