What is Data Cleaning? Data Cleansing Techniques and Process
Data cleaning, also known as data cleansing, is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset. This essential step in data analysis ensures the quality and reliability of data, making it suitable for informed decision-making. Learn various data cleansing techniques and processes to improve data quality, reduce errors, and enhance business insights.