Ridgeline plot generator

Statistical Distribution & Shape

A ridgeline plot (sometimes called a joyplot) stacks multiple continuous probability density curves vertically along the y-axis. By partially overlapping these distributions, it creates the visual illusion of a mountain range. This technique is highly effective for comparing the shapes, peaks, and spread of continuous variables across several categories or time periods.

All density estimations, kernel smoothing, and rendering happen locally on your machine. Your datasets are never uploaded to any external servers, ensuring total privacy.

Data Requirements & Continuous Variables

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

Sample Distribution Data

| Category | Value |

Guidelines for Interpreting Distributions

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