Incomplete Data

Incomplete data refers to information that is missing some parts, making it harder to get a full understanding or draw accurate conclusions. This can happen because data was not collected properly, lost, or intentionally omitted. For example, a survey might miss responses from certain groups, or a record might lack some details. Incomplete data can lead to misleading results or errors in analysis, so it’s important to recognize and address these gaps to ensure reliable decision-making.