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Data analysis is categorized into quantitative and qualitative analysis. Quantitative analysis involves measuring numerical data, such as body temperature, to assess health; for example, a fever might register at 100°F or 102°F. This provides specific metrics crucial for understanding a condition. However, temperature alone does not indicate the underlying cause of an illness. To identify the reason for the fever, qualitative analysis is used, which involves examining additional symptoms like stomach pain or headache. Both analysis types are important in medical treatment, and this concept also applies to credit analysis in finance.