Box plot generator

Box plot

Summarize distributions with quartiles, a median, spread, and potential outliers. Create a private, publication-ready box plot directly in your browser without transmitting sensitive rows off-device. Data is processed locally on your hardware with zero server uploads, enabling instant export to SVG, PNG, and Excel data.

Distributiondistributionstatisticsoutliers

Edit the data, then export.

Everything runs in your browser. Your data is not uploaded.

Data

Paste tab-separated data from Excel or edit the cells directly.

Paste or import table data

Paste a header row, or choose a local CSV/TSV file. Files are read in this browser and capped at 500 rows.

Choose CSV/TSV

Appearance

Chart title

Palette

Width Data labels Gridlines Axes LegendBackground

Preview

Sample preview of the example data. The live chart takes over as soon as you start working.

SVG, PNG, and Excel exports are generated locally in this browser. PowerPoint export is temporarily unavailable while its dependency path is reviewed for a high-severity image parser advisory.

Statistical Distribution & Shape

A box plot (or box-and-whisker plot) summarizes a dataset’s distribution through a five-number summary: the minimum, first quartile (25th percentile), median (50th percentile), third quartile (75th percentile), and maximum. The central box spans the interquartile range (IQR), while the whiskers extend to the rest of the distribution. Any individual dots represent potential outliers falling beyond 1.5 times the IQR from the box edges. Trendalyzer processes all statistical calculations and renders the plot locally on your machine, guaranteeing that your data is never uploaded to external servers.

Data Requirements & Continuous Variables

Format input columns for box plot with explicit headers and numerical measurements. Verify that rows represent discrete categories or observations without unformatted symbol artifacts.

Sample Distribution Data

| Department | Annual Salary (k) |

Guidelines for Interpreting Distributions

Ensure sufficient visual distinction for box plot marks across standard and high-contrast viewports.
Align text labels horizontally whenever possible to improve cognitive readability for box plot elements.
Double-check scale boundaries and zero-anchors before exporting box plot presentation artwork.

Data shape: Group/category and numeric observation columns
Exports: SVG, PNG, and Excel data; PowerPoint export is temporarily unavailable pending dependency review.

How it works

You edit a table in this page. The renderer draws an SVG from those rows in your browser, then you can download SVG, PNG, or Excel data. The table is not uploaded to any external processing server.

Frequently asked questions

How is an outlier defined in a box plot?

An outlier is any data point located beyond 1.5 times the Interquartile Range (IQR = Q3 - Q1) from the edges of the box.

What does the line in the center of the box represent?

It represents the median (50th percentile) of the dataset, dividing the upper and lower halves of observations.

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Reviewed 16 August 2026.