What is data cleaning in research analysis?
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Data cleaning involves the process of identifying and correcting errors, inconsistencies, and missing values in the collected data. It ensures the data is accurate, reliable, and ready for analysis. Data cleaning may involve procedures such as removing duplicates, validating data entries, and imputing missing values.