Bee Colony Chart
Chart overview
A bee colony chart is a jittered categorical scatter plot specifically designed for small-to-medium sample sizes in biology (n = 3-50 per group).
Key points
- Each data point is plotted at the correct y-value for its measurement while being horizontally jittered by a small random offset within the column width to prevent exact overlap.
- Unlike the beeswarm algorithm which produces deterministic placement, jitter-based approaches are simpler to implement and more familiar in biological literature.
- The result resembles bees hovering around a colony center.
Example Visualization
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"Create a bee colony chart from my in vivo experimental data with treatment groups on the x-axis and measured outcome on the y-axis. Jitter individual data points horizontally within each group column. Overlay group mean as a horizontal line and standard error bars. Color points by treatment group. Add pairwise significance brackets with p-values for each comparison. Show N per group below x-axis labels. Use a clean white background and format for a Journal of Experimental Medicine figure at 300 DPI."
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Python Code Example
Console Output
Figure saved: plotivy-bee-colony-chart.png
Common Use Cases
- 1In vivo pharmacology: individual animal tumor volume or body weight measurements per drug treatment group
- 2Immunology: per-well or per-mouse cytokine concentrations from ELISA or multiplex immunoassay
- 3Cell biology: individual cell viability or proliferation index values per siRNA knockdown condition
- 4Neuroscience: behavioral assay outcomes (open field distance, latency, rotarod time) per genotype or condition
Pro Tips
Set jitter width to 20-30% of the column spacing so points cluster visibly within their group
Use a fixed random seed for reproducible jitter positions between figure revisions
Add the mean +/- SEM as a crosshair overlay so summary statistics are available alongside individual points
For paired data (e.g., same animal before and after), connect paired points with thin lines to show individual changes
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.