Violin Plot Generator

A violin plot is a data visualization that combines a box plot with a kernel density estimate (KDE). It shows the full distribution of a dataset — including the median, interquartile range, and the probability density of the data at different values. The wider sections of the 'violin' shape indicate where more data points are concentrated.

A violin plot is built by first computing standard box plot statistics (Q1, median, Q3, whiskers) and then overlaying a mirrored kernel density estimate on each side. The density estimate smooths the raw data into a continuous curve showing where values are most likely to occur. This tool calculates all of these from your raw numeric inputs.

Use a violin plot when you want to see the full shape of your data's distribution, not just the summary statistics. Box plots can hide multimodal distributions (data with two peaks) or skewness that a violin plot makes immediately visible. Violin plots are especially useful when comparing distributions across multiple groups.

IQR stands for Interquartile Range — it is the difference between the 75th percentile (Q3) and the 25th percentile (Q1). It represents the middle 50% of your data and is a robust measure of spread that is not affected by outliers. A larger IQR means more variability in the central portion of your dataset.

Tukey's method defines outliers as any values that fall below Q1 − 1.5×IQR or above Q3 + 1.5×IQR. When you enable outlier exclusion, these values are removed before computing statistics and drawing the violin shape. This helps you see the core distribution without extreme values distorting the plot.

This tool supports up to four groups simultaneously. Each group can have its own label and dataset. Groups with no data entered are automatically excluded from the analysis and chart. For best readability, keeping comparisons to two or three groups is recommended.

A violin plot is most informative with at least 20–30 data points per group. With fewer than 10 values, the density estimate becomes unreliable and the violin shape may be misleading. The median and IQR statistics remain valid for any sample size, but the distribution shape requires adequate data to be interpretable.

Enter one numeric value per line in each group's text area. Commas, spaces within a line, or non-numeric text are ignored automatically. Decimal numbers (e.g. 3.14) are fully supported. You can also paste a column of numbers copied directly from a spreadsheet.