What is verification in the data cleaning process?

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Multiple Choice

What is verification in the data cleaning process?

Verification in data cleaning means checking that the cleaned data set is accurate, consistent, and reliable before it’s used for analysis. After cleaning, verification involves revalidating data against business rules, expected ranges, data types, and trusted references, and may include spot checks or quality metrics to confirm there were no new errors introduced and that the data meet quality standards. This is why the correct choice describes confirming accuracy and reliability after cleaning. Other options describe actions that are part of cleaning itself (like handling duplicates or imputing missing values) or security measures (encryption) rather than confirming the data’s quality after cleaning.

Verification in data cleaning means checking that the cleaned data set is accurate, consistent, and reliable before it’s used for analysis. After cleaning, verification involves revalidating data against business rules, expected ranges, data types, and trusted references, and may include spot checks or quality metrics to confirm there were no new errors introduced and that the data meet quality standards. This is why the correct choice describes confirming accuracy and reliability after cleaning. Other options describe actions that are part of cleaning itself (like handling duplicates or imputing missing values) or security measures (encryption) rather than confirming the data’s quality after cleaning.

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