A data analyst is reviewing a national database of real estate sales. They are only interested in sales of condominiums. How can the analyst narrow their scope?

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Multiple Choice

A data analyst is reviewing a national database of real estate sales. They are only interested in sales of condominiums. How can the analyst narrow their scope?

To narrow the data to a specific type, the dataset should be cleaned by removing records that don’t match that type. For condominiums, that means filtering out any sales that are not condominium sales. This directly leaves only condo records for analysis, ensuring the scope stays focused on the property type you’re interested in. Filtering by date or by region would limit the data by time or location, not by property type, so they don’t address the goal. Filtering to include only condominium sales would also achieve the same end, but phrasing it as excluding non-condominium entries makes the intent explicit and can be clearer when applying the rule in data-processing pipelines.

To narrow the data to a specific type, the dataset should be cleaned by removing records that don’t match that type. For condominiums, that means filtering out any sales that are not condominium sales. This directly leaves only condo records for analysis, ensuring the scope stays focused on the property type you’re interested in.

Filtering by date or by region would limit the data by time or location, not by property type, so they don’t address the goal. Filtering to include only condominium sales would also achieve the same end, but phrasing it as excluding non-condominium entries makes the intent explicit and can be clearer when applying the rule in data-processing pipelines.

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