data cleaning

Data cleaning is the process of identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure they are accurate, reliable, and ready for analysis. It involves a series of steps, from removing duplicates and handling missing values to standardizing data formats and correcting errors.