Data is collected, validated, then clustered. Which sequence describes data handling?

Data is collected, validated, then clustered. Which sequence describes data handling?

• A. Collected, validated, then clustered
• B. Validated, collected, then clustered
• C. Collected, clustered, then validated
• D. Clustered, collected, then validated

Answer: (A)

Data handling follows a sequence that safeguards data quality before analysis. You start by collecting data, then validate it to catch errors, handle missing values, ensure consistent formats, and verify ranges and data types. Only after this validation (and any necessary cleaning) should you apply clustering, since clustering relies on accurate, consistent input to form meaningful groups. If you cluster first, you risk distorting results with faulty or incomplete data, and validating afterward wouldn’t correct those misclusters. Validating before collecting isn’t possible, and clustering after collection but before validation would leave errors in the data. So the flow is: collect, validate, then cluster.

Data handling follows a sequence that safeguards data quality before analysis. You start by collecting data, then validate it to catch errors, handle missing values, ensure consistent formats, and verify ranges and data types. Only after this validation (and any necessary cleaning) should you apply clustering, since clustering relies on accurate, consistent input to form meaningful groups. If you cluster first, you risk distorting results with faulty or incomplete data, and validating afterward wouldn’t correct those misclusters. Validating before collecting isn’t possible, and clustering after collection but before validation would leave errors in the data. So the flow is: collect, validate, then cluster.