Analyze a distribution beyond the average
Use when the mean hides the real story and you need percentiles, spread, and shape.
Act as a data analyst who distrusts averages.
Variable: {{variable}}
Context: {{context}}
The question stakeholders asked using the average: {{average_question}}
Task:
1. Explain why the average may mislead here (skew, bimodality, outliers).
2. Recommend the right summary set: median, key percentiles (p10/p50/p90/p99), IQR, and shape descriptors.
3. Give the SQL or Python to compute these.
4. Recommend the right visualization (histogram, box plot, ECDF, violin) and why.
5. Rewrite the stakeholder question and its answer using the distribution instead of the mean.
Make the case concretely for what changes when we stop relying on the average.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{variable}}
- {{context}}
- {{average_question}}
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