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Box plot maker
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Compare distributions with quartiles and outliers
Understanding box plot
Summarize one or more numeric distributions with quartiles, medians, whiskers, and optional outliers. Paste a value column, add groups if needed, and Vizvero calculates the box plot for you.
A box plot, or box-and-whisker plot, summarizes a distribution using the first quartile (Q1), median, third quartile (Q3), whiskers, and potential outliers. The box spans the interquartile range, or IQR, which contains the middle half of the observations.
Vizvero uses Tukey-style 1.5×IQR fences for outlier detection and linear interpolation for quartiles. With a group column, multiple distributions can be compared side by side; with blank groups, the data is treated as one “All data” distribution.
Use this chart when
- You want a compact summary of center, spread, and potential outliers.
- You need to compare several groups without drawing every observation.
- Quartiles and distribution differences matter more than the exact frequency shape.
Choose another chart when
- The detailed shape or multiple peaks of a distribution matter; use a histogram.
- You only have a few observations and every point should be visible.
- You are comparing a single aggregate value per category; use a bar chart.
Prepare your data
- 01Use one numeric value column and, optionally, one category/group column.
- 02Leave the group cells blank to produce a single overall distribution.
- 03Outliers are identified relative to the 1.5×IQR fences; they are not automatically errors and should be interpreted in context.
Four-step workflow
How to make a box plot in Vizvero
- STEP 1
Paste values and optional groups
Add a numeric value column and a group column if you want side-by-side distributions.
- STEP 2
Choose what to show
Toggle median labels, outliers, grid lines, and axes in the Chart panel.
- STEP 3
Tune the geometry
Apply a theme and adjust line width and outlier point size in the Design panel.
- STEP 4
Animate and export
Preview each box expanding from its median, then export PNG, SVG, or MP4.
Make the chart easier to read
- Compare medians together with box height and whisker span; one statistic rarely tells the whole story.
- Treat outliers as observations to investigate, not points to delete automatically.
- Use consistent units across groups so their positions are directly comparable.
- For audiences unfamiliar with box plots, include a short explanation of the median and quartiles near the chart.
From data to finished asset
Designed themes
Change typography, spacing, geometry, axes, background, and palette without rebuilding the chart.
Static and animated export
Export the same chart scene as PNG, true vector SVG, or frame-rendered MP4.
Browser-first workflow
Editing and chart rendering happen in the browser, so you can work without creating an account.
Frequently asked questions
What do the box and whiskers represent?
The box spans Q1 to Q3, with a line at the median. Whiskers extend to the most extreme non-outlier observations under the 1.5×IQR rule.
How does Vizvero calculate outliers?
Values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR are treated as potential outliers and can be shown as separate points.
Can I make a box plot from one numeric column?
Yes. If the group column is blank, Vizvero combines the valid values into a single “All data” distribution.
What is the difference between a box plot and a histogram?
A box plot compresses a distribution into quartiles, whiskers, and outliers. A histogram shows the frequency shape across numeric bins and can reveal features such as multiple peaks.
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