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.
Subscribe to our newsletter to get the latest from Datastory’s Global Edition.
We use cookies to give you a better experience of our website. By browsing the Datastory website, you agree to our use of cookies.