Violin Plot
Distribution shape comparison across categories showing density, quartiles, and individual data points. Richer than box plots. Built with Plotly.js.
Template details
- chart
- violin
- distribution
- statistics
- plotly
When to use this template
Violin plots reveal the full shape of data distributions across multiple categories, making it easy to compare central tendency, spread, and density. Analysts use them to identify subtle differences in data patterns that might be obscured by simpler summaries like box plots. This visualization is ideal for understanding how a quantitative variable's distribution varies across distinct groups.
- Comparing distributions of a quantitative variable across discrete categories.
- Datasets with multiple groups, each containing numerical observations.
- Identifying skewness, multimodality, and outliers within each group.
- Visualizing density estimates alongside quartile information.
- When sample sizes vary significantly between comparison groups.
- Exploring the full range and concentration of values for each segment.