Which statement about data scrubbing is true?

• A. It only removes data
• B. It only adds data
• C. It involves removing bad data and correcting errors
• D. It is unrelated to data quality

Answer: (C)

Data scrubbing, or data cleansing, is about improving data quality by finding and fixing problems in the data. It’s not limited to deleting records; it involves both removing data that is bad or meaningless and correcting errors like typos, inconsistent formats, or incorrect values. This combination reduces inaccuracies and inconsistencies, making analyses, reports, and models more reliable. The idea that scrubbing only removes data misses the corrective step, while saying it only adds data isn’t what scrubbing does, and claiming it’s unrelated to data quality is incorrect since cleaning is a direct method to improve quality.