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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. Examples include parsing names and addresses. Correcting involves fixing errors like typos or misspellings. Standardizing means following a set format for data. Matching involves searching and finding corresponding data.