Free Violin Plot Maker
Create a labeled violin plot from plain text
Describe your groups, distributions, and any inner box plot or raw points you want shown, and AI draws a clean, professional violin plot — ready for statistics homework, data analysis, and research papers.
Violin plot examples
Click any example to load its prompt, or use it as a starting point for your own violin plot.
What is a violin plot?
A violin plot is a graph that shows the distribution of a numeric variable across one or more groups by drawing a mirrored kernel density (KDE) shape, usually with a small box plot inside. The width of each violin at a given value reflects how many observations fall there, so you can see the full shape of the data — peaks, spread, and skew — not just the summary statistics. This violin plot maker turns a plain-text description into a clean, labeled figure — you describe your groups, distributions, and any inner box plot or raw points, and the AI produces a properly proportioned violin plot with titled axes and a legend, all without spreadsheets or coding.
Why use a violin plot maker
- Violin plots are the standard way to compare the full distribution — shape, spread, and skew — of a variable across groups in statistics and science.
- Building a publication-quality violin plot in R (ggplot2) or Python (seaborn) takes formatting work that distracts from the analysis.
- Students learning about distributions and density understand them far better from a clearly labeled violin plot than from raw numbers.
- Instructors and researchers need quick, presentable violin plots for slides, lab reports, and papers.
- Changing the groups, splits, or overlaid points and regenerating is much faster than editing chart code by hand.
How to make a violin plot
Name the groups along the category axis and the numeric variable on the value axis, and describe the distributions you want shown. Then add any visual features you need: an inner box plot with quartiles, a median marker, jittered raw points, split violins to compare two categories, a horizontal layout, or color-coded groups with a legend. Generate the violin plot, check the axes, labels, and density shapes, and refine the description if anything is unclear.
Parts of a violin plot
- Density (KDE) shape — the mirrored, smoothed curve whose width shows how common each value is within the group.
- Inner box plot — a thin box marking the interquartile range (the middle 50% of the data) inside the violin.
- Median marker — a dot or line showing the center of the distribution for each group.
- Category axis — the axis listing each group or category, one violin per category.
- Value axis — the numeric scale of the variable being measured, against which the density is drawn.
- Legend — color coding that distinguishes groups, or the two halves of a split violin.
Violin Plot Maker FAQ
What is a violin plot?
A violin plot is a graph that shows the distribution of a numeric variable as a mirrored kernel density (KDE) shape, usually with a small box plot inside. Its width at each value reflects how many observations fall there, so it reveals the full shape of the data — peaks, spread, and skew — across one or more groups.
How do I make a violin plot online?
Describe your groups along the category axis, the numeric variable on the value axis, and the distributions you want shown — plus any inner box plot, median marker, or overlaid points. This online violin plot maker then generates a clean, labeled violin plot for you, with no spreadsheets, formulas, or coding required.
What is the difference between a violin plot and a box plot?
A box plot summarizes a distribution with quartiles, a median, and whiskers, but hides the shape of the data. A violin plot adds a mirrored density (KDE) curve around that summary, so you can see multiple peaks, skew, and where data clusters — a violin plot can be drawn with the box plot kept inside it. Use a box plot for a compact summary, and a violin plot when the shape of the distribution matters.
When should I use a violin plot?
Use a violin plot when you want to compare the full distribution of a numeric variable across groups, especially when the data may be skewed or bimodal. The density shape reveals structure — such as two peaks — that a box plot or bar chart would hide, making it ideal for showing how groups differ in spread and shape, not just in their averages.
Is it free?
Each generation uses a small number of credits. New accounts receive free credits, so you can make a violin plot without any subscription.
Is this suitable for class, research, or reports?
Yes. The violin plot generator produces clean, labeled figures suitable for classroom assignments, lab reports, posters, and research papers. Always verify that the distributions, axes, and groups match your actual data before using the figure in a formal report.
Explore More Tools
Histogram Maker
Turn data and bins into a clean, labeled frequency histogram with an optional normal curve.
Try it free
Box Plot Maker
Generate clean, labeled box-and-whisker plots with quartiles, whiskers, and outliers from a plain-text description.
Try it free
Density Plot Maker
Generate smooth KDE density curves and ridgeline plots from a plain-text description.
Try it freeNeed other statistical or scientific graphs?
Generate box plots, histograms, and density plots, and more scientific figures with SciDraw AI.
