Question
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?
- A. Label encoding
- B. Linearization
- C. Binning Correct
- D. Imputing
Explanation
Binning groups a continuous variable such as age into ranges, so sparse observations with gaps are aggregated into larger, more stable groups. Imputing fills in missing values rather than aggregating observations, label encoding turns categories into numbers, and linearization transforms a relationship to make it linear.
