Applied Impact Evaluation
Data cleaning is the process of detecting and correcting inaccuracies or inconsistencies in data to ensure its quality and reliability for analysis. This process often involves identifying errors, removing duplicates, and standardizing data formats to facilitate accurate decision-making. Effective data cleaning enhances the integrity of data, making it suitable for high-stakes evaluations and analyses.
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