Beeswarm plot generator

Statistical Distribution & Shape

A beeswarm plot (or swarm plot) plots individual raw data points along a single axis and groups them by category. It applies a physical collision detection algorithm to push overlapping points laterally, ensuring that every single observation is fully visible. This technique illustrates the precise shape, density, and spread of your distribution without relying on artificial jitter or hiding data behind summary statistics. All data processing and collision simulations happen entirely locally on your machine, guaranteeing that your sensitive data is never uploaded to any external server.

Data Requirements & Continuous Variables

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

Sample Distribution Data

| Team | Sprints completed |

Guidelines for Interpreting Distributions

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