Strip Plot
Chart overview
A Strip Plot helps visualize the distribution of a single variable or comparing distributions across categories by plotting each individual data point.
Key points
- 'Jitter' is often added to separate overlapping points, revealing densities.
- It is essentially a scatter plot where one axis is categorical.
- Strip plots are great for small to medium datasets where box plots might hide important details like sample size or underlying clusters.
Example Visualization
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View example prompt
"Create a strip plot showing 'Customer Satisfaction Scores' (1-10) across 3 'Store Locations'. Generate 50 points per store. Apply jitter to avoid overlap. Color points by Store. Overlay a Box Plot with high transparency (alpha=0.3) to show summary stats. Title: 'Satisfaction Scores by Store'."
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Python Code Example
Console Output
Combined Box and Strip plot showing distribution and summary stats.
Common Use Cases
- 1Showing raw data distribution
- 2Comparing small sample sizes
- 3Complementing box/violin plots
Pro Tips
Always use jitter for visibility
Combine with box plots for summary context
Reduce marker size for larger datasets
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.