Frame a Data-Analysis Request and Write Its Brief
Turn a vague data request into a complete analysis brief that surfaces blind spots before any work starts.
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12 prompts · #data-analysis
Turn a vague data request into a complete analysis brief that surfaces blind spots before any work starts.
Break a time series into trend, seasonality, and noise, then produce a forecast with honest uncertainty.
Build a cohort retention analysis with the right metrics and a plain-language reading of what the numbers actually mean.
Design a reproducible, leakage-free feature pipeline for your ML task, with transforms fit only on training data.
Translate a business goal into a focused KPI tree and an actionable dashboard layout that drives decisions, not vanity metrics.
Get an honest, jargon-free reading of your statistical results, separating significance from importance and flagging biases.
Pick the most effective chart type for your message and variable types, with encoding choices and pitfalls to avoid.
Design a sound A/B test, size it properly, then analyze results with the right test and honest caveats about significance.
Get a structured, per-column data cleaning plan with concrete actions, rationale, and the order to apply them safely.
Build a correct, edge-case-proof Excel or Google Sheets formula for your exact layout, with a plain-English breakdown.
Build a complete, step-by-step EDA plan tailored to your dataset, columns, and analysis goal before you write a single line.
Turn a natural-language question into a correct, dialect-specific SQL query grounded strictly in your real database schema.