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Box Plot Maker (Box and Whisker, PNG)

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Box Plot Maker

The box plot maker draws a box-and-whisker plot for each group of data you enter, one group per line with an optional label. Each box runs from Q1 to Q3 with the median marked in red, whiskers extend to the most extreme values within 1.5 × IQR of the box, and any points beyond are drawn as outliers, the standard Tukey convention used by R, Python and most textbooks.

Choose the quartile method your course uses (linear interpolation or median of halves). A table under the chart lists n, minimum, Q1, median, Q3, maximum, IQR and the outliers for every group, so the graph and the numbers always agree. Download the chart as a PNG for a lab report or presentation.

Box plots are the best way to compare several groups at once: differences in medians, spread and skew are visible immediately. To get the individual numbers with the working shown, use the five number summary calculator or the quartiles and IQR calculator.

Up to 8 groups. Example line: "Group 1: 3, 5, 8, 12".

Result and step-by-step solution

Test scores by classValue5060708090Class AClass B
GroupnMinQ1MedianQ3MaxIQROutliers
Class A1255677378.59111.5none
Class B124864.57077.5981398

Whiskers extend to the most extreme values within 1.5 × IQR of the box; points beyond are drawn as outliers.

Frequently asked questions

How do I enter several groups?
Put each group on its own line. Start the line with a label and a colon if you want the group named, e.g. “Class A: 55, 61, 64”.
How far do the whiskers extend?
To the smallest and largest data values that are still within 1.5 × IQR of the box edges. Points outside that range are plotted individually as outliers.
Why do my quartiles differ from my textbook?
Textbooks use different quartile rules. Switch between linear interpolation and median of halves to match yours.
Can I download the box plot?
Yes. Click Download PNG to save a 1280 × 720 image of the chart.

Last reviewed: September 25, 2026. Calculations run in your browser and were validated against SciPy.

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