This project involves the process of identifying and correcting errors in raw data to improve its accuracy, consistency, and reliability.Data cleaning is an essential step in ensuring high-quality insights and informed decision-making..It involves removing duplicates, handling missing values, fixing formatting issues and correcting errors.
data-type-conversion handling-missing-values data-formatting-standardization text-cleaning-techniques removing-duplicate-records data-type-correction data-cleaning-with-excel-functions data-validation-rules handling-data-errors
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Updated
Jun 9, 2026