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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 the source files. For example, parsing can be used to extract first and last names from a block of text. Correcting involves fixing errors, such as misspellings or typos. Standardizing means following a set of formatting rules, like ensuring a specific number of characters. Matching involves searching and comparing data across different sources.
