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Data analysis is divided into two main categories: quantitative and qualitative analysis. For example, when assessing a fever, measuring body temperature (e.g., 100°F or 102°F) exemplifies quantitative analysis, which provides numerical data. However, while this measurement is crucial, it does not indicate the cause of the illness. To identify the cause, a doctor examines other symptoms like stomach pain or nausea, which represents qualitative analysis. Both types of analysis are essential in diagnosing and treating patients. This duality of analysis is also relevant in the context of credit assessment.