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Data Cleaning

Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting.

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These are the most often used hashtags on social media when discussing Data Cleaning. The top three related items are data, bulk, and cleaning.

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Data Analyst

Data Cleaning is most commonly found in Data Analyst job descriptions. To learn more about the role, click the button below.

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