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Quantitative analysis is fundamentally characterized by its reliance on measurable, numerical data to assess and analyze factors within a given context. This method allows practitioners to derive clear, objective information from statistical metrics, which can then be used to inform decision-making processes, predict outcomes, and evaluate performance.

Using numerical values enables an analyst to provide precise measurements and comparisons, making it easier to identify trends, establish benchmarks, and draw conclusions based on hard data. This approach is particularly effective in scenarios where objective analysis is required, as it minimizes the influence of personal bias and subjective interpretation.

The other options focus on qualitative aspects or subjective perspectives, which do not align with the principles of quantitative analysis. Instead, they emphasize personal feelings, impressions, or non-numerical insights, which are characteristic of qualitative analysis. Thus, option B correctly identifies the essence of quantitative analysis by highlighting the use of numerical values for measurement.