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Distribution Plots That Tell the Truth

Structured brief

Histograms, box plots, and violins used correctly.

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Help me show a distribution honestly. Variable and context: [VARIABLE_AND_CONTEXT]. Sample size and groups: [SAMPLE_SIZE_AND_GROUPS]. Audience statistical comfort: [AUDIENCE_LEVEL]. Library: [PLOTTING_LIBRARY].

Provide:
1. A comparison table of histogram, density plot, box plot, violin plot, strip plot, and empirical cumulative distribution plot: what each shows, what it hides, and the audience it suits.
2. A recommendation for my case, with the reason.
3. Bin width guidance: why the same data looks different at 5 and 50 bins, how to try three bin widths and choose one that does not change the story, and when to prefer a density estimate.
4. How to show groups: overlaid with transparency, stacked small multiples, or jittered points on top of boxes.
5. How to mark median, quartiles, and outliers, and how to describe the outliers instead of hiding them.
6. The code for the recommended plot and a plain-language caption template.
7. Mistakes to avoid: truncated axes on histograms, comparing groups of very different sizes without saying so, log scales without labels.
End with two sentences I can say to a non-statistician to explain how to read the plot.

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