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Stem and Leaf Plot Maker

Sort numeric observations into stems and leaves while retaining the original values.

Data readiness & publication review

Check the data before you export

Review the source structure, chart-specific interpretation risks and a copyable accessible summary. The chart itself remains the primary workspace above.

Reviewing…

Findings

    Accessible chart summary

    Reviewing the current data…

    This review checks structure and common interpretation risks; it does not prove that the source data, measurement method, denominator, units or conclusion are valid.

    Stem-and-Leaf Plot Maker: Quartiles, Outliers & Verification

    Create a stem-and-leaf plot and verify the data with median, quartiles, IQR fences, outliers and a compact distribution summary.

    Core data-to-chart workflows

    Start with Graph Maker or CSV Chart Maker, then use a focused chart type when the visual question changes. Keep source data and export evidence connected instead of treating a rendered picture as the only record.

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    How to read this chart

    Stem-and-leaf plots preserve individual numeric observations while grouping place values.

    Before publishing

    Negative values now use floor-based stems so each displayed stem/leaf pair reconstructs the original signed value correctly.

    Practical guide and verification

    Use the tool first, then apply these checks to verify the inputs, interpret the result, and hand it off without displacing the primary workflow.

    Choose a stem scale that preserves useful detail

    A stem unit that is too coarse hides distribution shape, while one that is too fine creates many nearly empty rows. Use the key and scale together so another reader can reconstruct the original values unambiguously.

    Sort leaves and retain duplicates

    Repeated observations are part of the data and should appear as repeated leaves. Sorting within each stem makes clusters, gaps, and repeated values easier to inspect without changing the dataset.

    Cross-check quartiles and outliers against the raw values

    The companion statistics can flag possible outliers, but quartile conventions vary. Keep the original data export and state the selected quartile/fence method when the plot supports graded or published analysis.

    Pair the visual plot with an accessible summary

    A text summary, counts, and downloadable data make the distribution usable when the visual layout is not accessible or when the chart is copied into another medium. Preserve the key alongside any exported plot or report. If negative values or decimal scaling are present, state how stems are formed so another reader can reconstruct sign and place value without guessing from layout alone.

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