One data cleansing solution is to identify and correct the data by cross-checking it against a validated data set.

Question

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Cross-checking data against a validated data set is a common method of data cleansing, used to identify and correct errors, inconsistencies, or inaccuracies within a data set. By comparing the original data with a trusted, validated source, data analysts can identify discrepancies and either correct them or remove them from the data set.

One Data Cleansing Solution Is to Identify and Correct the Data