Box Plot Generator

Quartiles, median, whiskers, and outlier dots from a list of numbers.

Five-Number Summary
Outlier Detection
Distribution Analysis

Box Plot Generator

Create statistical box plots to visualize data quartiles, outliers, and distribution shape

Yes
Yes

Sample Datasets

How to read a box plot

Min, Q1, median, Q3, max—plus dots outside the whiskers

The box is the middle 50% of the data (Q1 to Q3). The line inside is the median. Whiskers reach the farthest points still inside the fences, usually Q1 − 1.5×IQR and Q3 + 1.5×IQR. Anything beyond those fences plots as an outlier.

  • Min / Max: extremes of the sample (or whisker ends if outliers are pulled out)
  • Q1 / Q3: 25th and 75th percentiles
  • IQR: Q3 − Q1; fat box = more spread in the center

Median near Q1 with a long upper whisker usually means right skew. Median near Q3 with a long lower whisker usually means left skew. Centered median and even whiskers suggest something closer to symmetric.

Outliers and when they matter

Lower fence = Q1 − 1.5×IQR. Upper fence = Q3 + 1.5×IQR. That 1.5 rule is Tukey's convention, not a law of nature—use 3×IQR if you only want extreme flags.

Whiskers stop at the last in-fence point; they do not always hit the raw min/max. Flagged points can be typos, measurement glitches, or the most interesting cases in the set. Do not auto-delete them because the chart marked them.

Quick example: scores 1200, 1250, 1300, 1350, 1400, 1450, 1500, 1550, 1600 give a median around 1400 and IQR around 200. Compare that shape across classes or batches side by side—that is where box plots beat a single mean.

Frequently Asked Questions

Box plot or histogram?

Box plots for comparing groups in a small footprint. Histograms when you need the detailed shape of one distribution (peaks, gaps, multimodality).

Lots of outliers—bad data?

Maybe. Or heavy tails, mixed groups, or a threshold that is too tight. Check collection and consider a wider fence before blaming the data.

Median not centered in the box?

Skew. Closer to Q1 → right skew; closer to Q3 → left skew.

Compare groups with different n?

Yes, but note sample sizes. Tiny groups make quartile estimates jittery.

Show the mean too?

Useful. Mean far from the median usually means skew or a strong pull from extremes.

Minimum useful sample size?

You can draw one with five points; trust it more around 15–20+ per group.

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