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The steps in cleaning data include parsing, correcting, standardizing, matching, and consolidating. Parsing involves identifying individual data elements and isolating them. Correcting fixes errors like misspellings or typos. Standardizing ensures data follows a specific format. Matching involves searching and comparing different data sets.
