Data _______ involves correcting wrong or inconsistent parts of the data.

  • Augmentation
  • Cleansing
  • Transformation
  • Validation
Data cleansing is the process of identifying and correcting errors or inconsistencies in the dataset. It ensures that the data is accurate and reliable for analysis. Data augmentation, validation, and transformation are different aspects of data preprocessing.
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