...... is the process of identifying and correcting inaccuracies in a dataset.a.None of the optionsb.Data scrubbingc.Data singlingd.Data transformation

Break Down the Problem

1. Identify the process being described in the question.
2. Review the provided options to determine the correct answer.

Relevant Concepts

• Data scrubbing is a term commonly used in data management to refer to the process of cleaning and improving the quality of data by removing inaccuracies.

Analysis and Detail

1. Option A: None of the options - This is a dismissal option and may not represent the process described.
2. Option B: Data scrubbing - This option involves identifying and correcting inaccuracies in a dataset, making it a strong candidate for the correct answer.
3. Option C: Data singling - This is not a recognized term in data management.
4. Option D: Data transformation - This option refers to changing the format or structure of data, rather than correcting inaccuracies.

Verify and Summarize

After examining all the options with respect to the definition given in the question, it is evident that data scrubbing explicitly refers to the act of correcting inaccuracies in a dataset, while the other options do not.

Final Answer

The correct answer is b. Data scrubbing.