Data quality is assessed based on several criteria:
Accuracy: The data should correctly represent the real-world values. Completeness: All necessary data should be present. Consistency: Data should be consistent across different datasets and over time. Timeliness: Data should be up-to-date and available when needed. Reliability: The data should be dependable and trustworthy.
