Find the median
The line inside each box marks the median, so it gives a quick view of the typical value in that group.
Create a box and whisker plot from raw numeric data with this online box plot maker. Compare one or multiple groups, spot outliers, and export a clean graph for free.
Loading your locally saved graph…
Enter one group per column, paste a spreadsheet table, or upload a CSV or Excel file.
Compare each group’s median, Q1, Q3, whiskers, and any outlier points in the live preview.
Adjust labels, orientation, colors, and outlier visibility, then download the finished chart.
A box plot summarizes numeric observations with a median, first quartile (Q1), third quartile (Q3), whiskers, and individual outlier points. It is also called a box-and-whisker plot.
This box plot graph maker treats each numeric column as a separate group and uses the actual column header as its label. The shared editor makes it easy to compare classes, experiments, teams, or other distributions side by side.
Use the online box plot maker directly in your browser: paste raw observations or import CSV and Excel files, then customize and export the result without creating an account.
Each numeric column is one group. Keep the group name in the header and place one raw observation in each cell below it.
| Class A | Class B |
|---|---|
| 72 | 81 |
| 84 | 76 |
| 67 | 89 |
| 91 | 92 |
| 76 | 78 |
| 88 | 85 |
| 94 | 90 |
| 71 | 74 |
| 82 | 87 |
| 79 | 80 |
Read the center first, then compare spread, whiskers, and isolated points across groups.
The line inside each box marks the median, so it gives a quick view of the typical value in that group.
The box spans Q1 to Q3. A taller or wider box means the middle half of the data is more spread out.
Whiskers show the non-outlier range, while separate points call attention to unusually low or high values.
Both charts describe distributions, but they answer different questions about shape and summary statistics.
Use a box plot to compare medians, quartiles, spread, and outliers across one or more groups. It summarizes a distribution without showing every repeated value.
Use a histogram when you want to see the detailed shape of one numeric distribution, including peaks, gaps, skew, and how observations fall into bins.
The editor calculates quartiles from each numeric group and uses the standard 1.5×IQR rule to separate whiskers from potential outliers.
Q1 marks the 25th percentile, the median marks the center, and Q3 marks the 75th percentile of the sorted observations.
Whiskers extend to the smallest and largest observations that remain within 1.5 times the interquartile range.
Values beyond the whisker fences appear as individual points so unusual observations remain visible instead of being discarded.
Turn each numeric column into a separate labeled box for side-by-side comparison.
Calculate minimum, Q1, median, Q3, and maximum from raw observations.
Plot values beyond the 1.5×IQR fences as individual points.
Ignore blank or invalid cells safely and show an actionable warning.
Paste tables or upload CSV and Excel files into the existing data grid.
Save on this device and download the finished graph as PNG, SVG, or CSV.
Answers about arranging raw data, calculating quartiles, and handling outliers.
Yes. The free box plot maker works without signup and exports clean PNG or SVG files without a watermark.
Place each group in its own numeric column. The header becomes the group label, and every cell below it is treated as a raw observation.
The box-and-whisker plot maker calculates Q1, the median, Q3, and the interquartile range. Whiskers stop at the most extreme values within 1.5×IQR, and values beyond those fences are plotted separately.
Blank cells are skipped. Invalid non-numeric values are ignored and reported beside the graph so you can correct the source data if needed.
The graph can still render, but the editor warns when a group has fewer than five valid observations because its quartiles may be unreliable.
Yes. Paste data copied from a spreadsheet or upload CSV and XLSX files. Processing stays in your browser.