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Data wrangling, or data munging, is a crucial process in the data analytics workflow that involves cleaning, structuring, and enriching raw data to transform it into a more suitable format for analysis. This process includes cleaning the data by removing or correcting inaccuracies, inconsistencies, and duplicates.