Interval Plot
Chart overview
An interval plot shows the estimated mean (or median) for each group as a point symbol with confidence interval whiskers, keeping the focus on group-level inference rather than raw data scatter.
Key points
- Statisticians and clinical researchers use it when individual data points are too numerous or confidential to display, or when the primary question is whether group intervals overlap.
- It communicates statistical precision and practical significance more directly than a bar chart with standard deviation bars.
Example Visualization
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"Create an interval plot from my grouped data. Display means as filled circles with 95% confidence interval whiskers, arrange groups on the x-axis, add a horizontal dashed reference line at the grand mean, and format as a clean publication-quality statistical figure."
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Python Code Example
Console Output
Figure saved: plotivy-interval-plot.png
Common Use Cases
- 1Comparing drug efficacy endpoints across treatment arms in clinical trials
- 2Displaying estimated marginal means from ANOVA models with multiple factors
- 3Summarising survey scale means with confidence intervals across demographic groups
- 4Presenting meta-analysis summary estimates alongside individual study estimates
Pro Tips
Use 95% CI rather than standard error bars to reflect inferential uncertainty accurately
Arrange groups in a meaningful order such as dose ascending or control first
Annotate overlapping confidence intervals with a p-value or significance bracket
Avoid bar charts for this use case: interval plots convey precision without anchoring to zero
Scientific Chart Selection Cheat Sheet
Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.