Data cleansing often involves removing or correcting ________ in a dataset.

Data cleansing typically involves identifying and correcting errors in a dataset, which can include incorrect values, missing values, or inconsistencies. These errors can arise due to various reasons such as data entry mistakes, system errors, or data integration issues. Addressing these errors is crucial for ensuring the accuracy and reliability of the data for analysis and decision-making purposes.