Data Analysis
Analyze data with clear assumptions and reproducible reasoning.
What this skill does
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Use for datasets, business questions and numerical comparisons. Identify the question, schema, units and sample period; check missing values, duplicates and selection bias before calculating. Choose methods appropriate to the data and show the calculation or reproducible query. Output the main result, supporting table or chart, uncertainty and recommended next check. Example: compare weekly conversion with sample counts and consistent denominators. Use supplied or connected data and distinguish measured results from forecasts; do not invent numbers.
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