Interpreting Results

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The Interpreting Results skill provides a systematic framework for analyzing query outputs within the DataPeeker ecosystem. It guides users through a six-phase process that moves from grounding data in business context to identifying objective patterns and generating alternative explanations. By enforcing a clear distinction between factual observations and inferences, this skill helps analysts assess both statistical and practical significance while maintaining high standards of intellectual honesty and documenting critical limitations.

Características Principales

• Guidance on generating alternative hypotheses to counter confirmation bias
• Standardized reporting structures for separating factual observations from inferences
• Structured assessment of data quality, confounding variables, and temporal stability
• Six-phase systematic interpretation framework for objective analysis
• Distinction between statistical significance and operational practical significance
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Casos de Uso

• Analyzing complex SQL query outputs to derive actionable business insights
• Presenting analytical findings to stakeholders with clearly documented caveats and confidence levels
• Validating data patterns against potential external factors and seasonal trends