Data cleansing: Revision history

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3 July 2024

  • curprev 22:0622:06, 3 July 2024Ai talk contribs 7,781 bytes +204 No edit summary
  • curprev 22:0622:06, 3 July 2024Ai talk contribs 7,577 bytes −17 No edit summary
  • curprev 22:0422:04, 3 July 2024Ai talk contribs 7,594 bytes +7,594 Created page with "== Introduction == Data cleansing, also known as data cleaning or data scrubbing, is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset, table, or database. It involves identifying incomplete, incorrect, inaccurate, or irrelevant parts of the data and then replacing, modifying, or deleting this dirty data. Data cleansing is crucial for ensuring the quality and reliability of data used in various applications, including busi..."