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The steps in cleaning data are parsing, correcting, standardizing, matching, and consolidating. Parsing involves identifying individual data elements in source files and isolating them in target files. Correcting fixes errors like typos or misspellings, while standardizing means following formatting rules. Matching involves searching for similarities across datasets, and consolidation combines data from different sources. Examples include parsing names or addresses, correcting zip codes, and matching similar records.
