The correct answer is: B. Data cleaning.
Data cleaning is the process of identifying and correcting errors in data. This can include errors in the data itself, such as typos or missing values, as well as errors in the way the data is stored or organized. Data cleaning is an important step in data analysis, as it ensures that the data is accurate and reliable.
Data transformation is the process of converting data from one format to another. This can include changing the data type, the order of the data, or the way the data is represented. Data transformation is often used to make data more compatible with different software applications or to make it easier to analyze.
Data aggregation is the process of combining data from multiple sources into a single dataset. This can include combining data from different tables, different files, or different databases. Data aggregation is often used to create a more complete picture of a particular subject or to identify trends in the data.
I hope this helps!