CompTIA DataX (DY0-001) — Question 20

A statistician notices gaps in data associated with age-related illnesses and wants to further aggregate these observations. Which of the following is the best technique to achieve this goal?

Answer options

• A. Label encoding
• B. Linearization
• C. Binning
• D. Imputing

Correct answer: C

Explanation

Binning is the most suitable technique for aggregating data into defined intervals, which helps manage gaps in age-related illness data. Label encoding and linearization are not designed for filling gaps or aggregating observations effectively. Imputing focuses on filling in missing values rather than aggregating data.