Box Plot Calculator

Generate box plot statistics from your data. Calculate Q1, Q2 (median), Q3, IQR, whisker bounds, and identify outliers.

INTERQUARTILE RANGE
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Q1 (25th)
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Median
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Q3 (75th)
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Outliers
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What Is a Box Plot?

A box plot (box-and-whisker plot) is a graphical representation of the five-number summary: minimum, Q1, median, Q3, and maximum. It provides a visual summary of data distribution, central tendency, variability, and skewness in a compact format. Invented by John Tukey in 1970, it is one of the most useful tools in exploratory data analysis.

The box spans from Q1 to Q3 (the IQR), with a line at the median. Whiskers extend to the most extreme data points within 1.5*IQR of the box edges. Points beyond the whiskers are plotted individually as outliers.

Box Plot Components

ComponentMeaning
BoxQ1 to Q3, contains middle 50% of data
Median line50th percentile, divides box
WhiskersExtend to last data within 1.5×IQR
Outlier dotsPoints beyond 1.5×IQR from box

Outlier Detection

Lower fence = Q1 - 1.5 × IQR
Upper fence = Q3 + 1.5 × IQR
  • Values below the lower fence or above the upper fence are outliers.
  • Values beyond 3×IQR are extreme outliers.

FAQ

What does a symmetric box plot look like?

The median line is centered in the box, and whiskers are approximately equal length. Skewed data has an off-center median and unequal whiskers.

Can box plots compare groups?

Yes! Side-by-side box plots are excellent for comparing distributions across groups, making differences in center, spread, and outliers immediately visible.