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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.[1] Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting or a data quality firewall.
Data cleaning is way of validating the inconsistency data from database by remove, Verifying and replace them with correct data .
its therefore importance because it serve the data analysis to be correct due to the final cleansing of data.