Data error refers to inaccuracies or inconsistencies in the data that can occur during the collection, processing, or storage stages. Data errors can also occur due to a diverse set of issues that can arise in datasets, ranging from missing data and duplicates to outliers, inconsistencies, and inaccuracies. Given the growing dependence on data-driven decision-making, rectifying data errors has emerged as a critical concern in modern data management.