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?

The correct answer is C. Binning. Binning groups continuous age values into discrete intervals (e.g., age ranges), filling gaps by aggregating observations into broader categories. This directly addresses uneven or sparse age data by creating consistent age groups.

Data Processing Technologies

Question

Options

ALabel encoding
BLinearization
CBinning
DImputing

How the community answered

(45 responses)

A
2% (1)
B
2% (1)
C
96% (43)

Explanation

Binning groups continuous age values into discrete intervals (e.g., age ranges), filling gaps by aggregating observations into broader categories. This directly addresses uneven or sparse age data by creating consistent age groups.

Topics

#binning#data aggregation#feature engineering#missing data

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