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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 typos or misspellings. Standardizing ensures data follows specific formatting rules. Matching involves searching for similarities across data sets. Consolidating brings all cleaned data together. Examples include parsing names for first and last, correcting zip codes, and standardizing data formats. Matching involves searching and comparing data elements.
