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Data analysis can be categorized into two types: quantitative analysis and qualitative analysis. For example, measuring a person's body temperature provides quantitative data, which is crucial for assessing fever; temperatures can range from 100°F to 102°F, eventually returning to around 98°F upon recovery. However, while temperature measurement is essential, it does not explain the cause of the illness. A doctor examines other symptoms, such as stomach pain or headaches, to identify the underlying reasons, which constitutes qualitative analysis. Both types of analysis are important in patient treatment, and this concept similarly applies to credit assessment.