A density plot shows the distribution of a continuous variable as a smooth curve. Instead of using histogram bins, it estimates a probability density function, often with kernel density estimation.

Purpose

Density plots are useful for comparing distribution shapes, including peaks, spread, skewness, and overlap between groups.

Design Notes

• Choose bandwidth carefully.
• Explain that the curve is an estimate.
• Use transparency when comparing multiple groups.
• Consider histograms when raw counts are important.

Summary

Density plots provide a smooth view of distribution. They are useful for comparison, but their appearance depends on the estimation method and bandwidth.