Design a Meaningful Pivot Table from Your Business Question
ENData & Analyse
Translate a business question into a well-structured pivot table with the right rows, columns, values, and filters.
excelgoogle-sheetspivot-tablereporting
LA@lacauze
0
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40 prompts
Translate a business question into a well-structured pivot table with the right rows, columns, values, and filters.
Break a time series into trend, seasonality, and noise, then produce a forecast with honest uncertainty.
Generate a complete, readable data dictionary that documents every column, its meaning, type, and constraints.
Choose a defensible outlier-detection method for your variable and qualify whether each anomaly is an error or a signal.
Transform raw numbers and chart outputs into a clear, persuasive narrative for a non-technical audience.
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.