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Data analysis is divided into quantitative and qualitative analysis. Quantitative analysis involves measurable data, such as body temperature; for example, a fever may be recorded at 100°F or 102°F. After recovery, the temperature returns to around 98°F. While this measurement is crucial for diagnosing illness, it doesn’t explain the cause. Qualitative analysis, on the other hand, considers symptoms like stomach pain, nausea, or headache to determine the underlying reason for the illness and facilitate proper treatment. Both types of analysis play vital roles in patient care and are applicable in various fields, including credit analysis.
