Automation & Workflows
Data Cleaning
Identifying and addressing data problems that interfere with an intended use, such as inconsistent formatting, impossible values or duplicate records. Cleaning should follow explicit rules and preserve evidence of changes. It does not mean making every cell look complete, removing inconvenient observations or treating an AI guess as a corrected fact.
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