Metric Calculator
Compute well-defined metrics from existing formulas, datasets, or test outputs. Use as an explicit/manual helper when the metric definition is already known, not for choosing the overall analysis owner or dashboard strategy.
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# Metric Calculator ## Positioning Treat this skill as an explicit/manual helper for narrow metric-computation work. ## When to Use Use this skill when: - Calculating a named business, statistical, or QA metric from available data - Converting raw counts into rates, ratios, deltas, or scorecards - Verifying that a metric formula is implemented consistently across outputs ## Not For / Boundaries - Model evaluation strategy selection: use `evaluating-machine-learning-models` - Full regression modeling ownership: use `scikit-learn`; causal analysis ownership: use `performing-causal-analysis` - Chart design or presentation decisions: use `creating-data-visualizations` ## Typical Outputs - Metric definitions and formulas - Reproducible calculation steps - Sanity checks for units, denominators, and aggregation scope ## Related Skills - `evaluating-machine-learning-models` for ML benchmark metrics - `creating-data-visualizations` after the numbers are finalized
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