Which one of the following statements is NOT correct about the data cleaning?

A. It refers to the process of data cleaning.

B. It refers to the transformation of wrong data into correct data.

C. It refers to correcting inconsistent data.

D. All of the above.

Answer: D. All of the above.

Data cleaning is the act of identifying and eradicating errors or inconsistencies from a set of data to level up on quality outcomes. It entails the detection of parts in which data does not possess accuracy, inconsistent values with other entries or irrelevant to the aim were cleaned.

The process of data cleaning which is the transformation of wrong data into correct data includes correction, consistency that refers to violation at points and inconsistency among values but does not necessarily refer to consistence with some fixed set or constraint. However, data cleaning at other times does not include any form of transformation or correction but simply eliminating wrong dirt from the dataset.

Thus, option D All the above is partially true because one of its statements (B) is not totally correct in connection with data cleaning . This process includes approach of clear identification as well as handling dirty data but it does not necessarily have to be transformed into accurate one, sometimes specific segment on the dirty data may also need some deletion.