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The steps in cleaning data are parsing, correcting, standardizing, matching, and consolidating. Parsing involves identifying individual data elements and isolating them in target files. Correcting is fixing errors like zip codes or misspellings. Standardizing means following a set format. Matching involves searching and finding across different datasets.
