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-conversionhandling-missing-valuesdata-formatting-standardizationtext-cleaning-techniquesremoving-duplicate-recordsdata-type-correctiondata-cleaning-with-excel-functionsdata-validation-ruleshandling-data-errors
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Updated
Jun 9, 2026