12/07/2026
Data cleaning is the process of identifying and correcting inaccurate, incomplete, duplicate, or inconsistent data. It improves data quality by removing errors, handling missing values, standardizing formats, and validating information. Clean data helps organizations produce reliable analysis, accurate reports, better predictions, and informed decisions.