Density plot generator

Statistical Distribution & Shape

A density plot (Kernel Density Estimation or KDE) visualizes the distribution of a continuous numeric variable. Unlike a histogram that groups data into rigid discrete bins, a density plot calculates a continuous probability density function. This smooths out bin boundaries to clearly reveal skewness, kurtosis, and multi-modal peaks. All density curve mathematics and rendering are processed locally on your machine, meaning your sensitive dataset is never uploaded to an external server.

Data Requirements & Continuous Variables

Format input columns for density plot with explicit headers and numerical measurements. Verify that rows represent discrete categories or observations without unformatted symbol artifacts.

Sample Distribution Data

| Group | Exam score |

Guidelines for Interpreting Distributions

• Ensure sufficient visual distinction for density plot marks across standard and high-contrast viewports.
• Align text labels horizontally whenever possible to improve cognitive readability for density plot elements.
• Double-check scale boundaries and zero-anchors before exporting density plot presentation artwork.