Beeswarm Plot
Chart overview
A beeswarm plot arranges individual data points along a categorical axis such that no two points overlap, achieved by offsetting points horizontally (or vertically for horizontal orientation) using a beeswarm algorithm.
Key points
- Unlike a strip plot with random jitter, the beeswarm produces a deterministic layout that accurately reflects the density of observations at each value.
- This makes it ideal for small-to-medium biological datasets (n = 5-200) where showing individual data points is scientifically appropriate and required by many journals.
- In biology, beeswarm plots replace or accompany bar charts and box plots for flow cytometry measurements, qPCR Ct values, ELISA absorbance, western blot densitometry, and behavioral assay scores.
Example Visualization
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"Create a beeswarm plot from my assay data with groups on the x-axis and measured values on the y-axis. Position each individual data point without overlap using a beeswarm algorithm. Overlay a box plot (median and IQR) behind the beeswarm dots. Color points by treatment group. Add pairwise statistical comparison brackets with p-values between groups. Show the sample size (N) below each group label. Format for a Nature Cell Biology style figure at 300 DPI."
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Python Code Example
Console Output
Figure saved: plotivy-beeswarm-plot.png
Common Use Cases
- 1Flow cytometry: displaying MFI or percent-positive measurements per well or condition
- 2qPCR: showing all Ct values or relative expression values per gene and condition
- 3Animal behavior studies: plotting latency, distance, or time values for each individual animal
- 4ELISA and multiplex immunoassay: displaying analyte concentrations from each biological replicate
Pro Tips
Use beeswarm over bar charts when n < 50 per group - individual points are more informative than means
Combine with a box plot or mean +/- SD overlay so summary statistics and individual values coexist
Scale dot size carefully: too large causes overlap; too small makes points invisible at high N
Many journals now require individual data points to be shown for small-n in vivo and in vitro experiments
Scientific Chart Selection Cheat Sheet
Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.