Get an honest, jargon-free reading of your statistical results, separating significance from importance and flagging biases.
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20 prompts
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.
Diagnose a slow SQL query using its execution plan and get prioritized, dialect-aware fixes with a rewritten version.
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.