QuestionQ32

VerifiedPrepare data and use feature engineering in Snowflake

A clothing company wants to introduce new apparel in response to customer requests. To prioritize those requests, the company gathers customer demographic surveys that include age. The company is not interested in each customer’s exact age, but rather in the age group to which the customer belongs (for example, Youth, Junior, Adult).

Which approach will prepare the data for analysis?

Explanation

Binning converts individual numerical ages into categorical ranges that align with the required age groups. This preserves the level of detail needed for prioritization without relying on each customer’s specific age.

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