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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. Examples include parsing names and addresses. Correcting involves fixing errors like typos or misspellings. Standardizing means following a set of formatting rules. Matching involves searching and identifying similar data points across different sources.