Radial Stacked Bar Chart Generator - Free Online Circular Bar Plot Maker
Use Radial Stacked Bar Chart Generator - Free Online Circular Bar Plot Maker
All GotoKit tools run directly online, no download required.
Upload a fixed CSV template (ring name column + category value columns) to generate a radial stacked bar chart (racetrack / circular bar plot) in the reference style: each row is one concentric ring, split into stacked category segments with arc length proportional to the ring total, an italic total label beyond the end of every arc and a right-side square-marker legend. Light / dark canvas with PNG / SVG export.
About this tool
Bend year-by-year composition data into rings and you get a radial stacked bar chart: each row becomes one concentric lap, split into category arcs proportional to that year’s total. Comparing years becomes a matter of scanning rings instead of long horizontal bars, with italic totals past each arc end and a vertical square-marker legend. Made for annual budget mixes, energy structures and category shares.
- Export crisp PNG / SVG you can keep editing
- Multiple built-in themes, one-click switch
- Light and dark canvas support
- Free, no watermark, no limits
Compared with general charting workflows
| Aspect | This tool | Typical alternative |
|---|---|---|
| Visual direction | Optimized for a specific chart grammar | More general, but more setup |
| Export | Fast PNG/SVG export first | More formats, but heavier workflow |
| Best fit | Slides, landing pages, and social visuals | Building bespoke analytical charts from scratch |
Docs
What is a Radial Stacked Bar Chart?
A radial stacked bar chart (also known as a circular bar plot or racetrack chart) is a stacked bar chart bent into concentric rings: every row of data becomes one ring, whose arc length is proportional to the row’s total, split into color-coded category segments stacked along the arc. All rings share a single angle scale and unfold counterclockwise from the 12 o’clock position. This layout keeps the comparative power of stacked bars while adding the strong geometric rhythm of concentric circles, making it a popular choice for research figures and data posters that compare “many groups × many categories” — food composition, population breakdowns, traffic shares and more.
Features
- Template-driven, WYSIWYG: download the CSV template, fill in your data, upload and get the chart instantly — no coding required
- Wide-table format: ring name in the first column (one ring per row), then one numeric column per stacked category, up to 12 rings and 12 categories
- Concentric ring layout: the first data row is the outermost ring and later rows stack inward, separated by thin gaps
- Arc-proportional stacking: every ring shares one angle scale; the ring with the largest total spans about 330 degrees; segment order follows the legend from the start angle counterclockwise
- Italic end-of-arc totals: each ring’s total is labeled in italics just beyond the end of its arc, matching the reference style
- Right-side square legend: vertically centered square color swatches aligned one-to-one with the ring colors
- Multiple exports: high-resolution PNG (2x pixel ratio) and vector SVG, with light / dark canvas modes
- Local privacy: all data is parsed and rendered locally in your browser, never uploaded
Use Cases
- Composition analysis: multi-sample comparison of food flavor compounds, beverage ingredients, alloy elements or fuel composition
- Research figures: journal figures and lab reports comparing concentrations / contents across many groups in a compact circular layout
- Population & traffic composition: regional demographics, multi-channel traffic sources, departmental budget allocation
- Data posters & infographics: eye-catching visualizations for social media platforms, the concentric rings are highly recognizable
- Reports & slides: distinctive stacked comparison charts for annual reports and industry analysis
If you need to compare small value differences precisely, a regular stacked bar chart is more suitable; the radial stacked bar chart shines for “many groups × many categories” displays that emphasize overall magnitude and ring aesthetics.
How to Use
- Click “Download CSV template” to get the sample file
- Fill in your data: ring name in the first column, one stacked category per following column
- Click the upload area or drag a CSV file onto the page
- The concentric stacked chart is generated automatically; switch between light / dark mode
- Click “Download PNG” or “Download SVG” to save the chart
Data Format
| Field | Required | Description |
|---|---|---|
| Column 1 (ring name) | Yes | One name per ring (e.g. R1, Sample A); not drawn on the chart, used as a hint |
| Column 2+ (categories) | Yes | Non-negative values for each stacked category; column headers become legend names (e.g. Esters, Alcohols) |
Limits: up to 12 rings and 12 categories; values must be non-negative numbers; every row must have the same number of columns as the header. The first data row renders as the outermost ring, later rows inward; all rings share one angle scale and the largest total spans about 330 degrees.
How to read this chart
Each ring is one row of data (usually a year) and its total length is that row’s sum, split into colored arcs, one per category. To compare one category across years, compare the same color along the radius; to read one year’s mix, compare the arcs inside that ring. The italic number beyond each arc is that ring’s total.
About Gotokit
Gotokit builds simple, efficient and beautiful online tools. This radial stacked bar chart generator runs on the ECharts rendering engine — no sign-up needed, open and use, with all data processed locally for your privacy.
FAQ
How is the wide table with a ring-name column plus category value columns arranged?
The fixed format is a wide table: the first column is the ring name (one ring per row), and each following column holds the values of one stacked category — the column headers become the legend names. Up to 12 rings and 12 categories; values must be non-negative; every row must have the same number of columns as the header. The first data row renders as the outermost ring.
How are the arc length and angles determined?
Every ring shares one angle scale: 0° is at the 12 o’clock position and unfolds counterclockwise. The angle axis maximum is set to “largest ring total ÷ 0.917”, so the ring with the largest total spans about 330° and every other ring scales down proportionally. Stacking order follows the legend (Esters first, Sulfides at the arc end).
Is this chart tool better for slides, reports, or social visuals?
All three can work, but each needs a different emphasis. Slides care about legibility, reports care about structure and annotation, and social visuals care about density and style. Tune colors, labels, and export size for the destination.
When should I export PNG instead of SVG?
PNG is usually better for slides, chats, or social sharing, while SVG is better if you need to keep editing, scale for print, or embed the graphic in a design system. If the target platform does not support SVG, export a higher-resolution PNG.
How is this different from a general charting tool?
These tools are optimized for a specific visual grammar, so you can get to a strong result faster. General charting tools are more flexible across many chart families, but usually take more setup and styling work.
Can I use this tool on mobile phones or tablets?
Most tools work in modern mobile browsers, but complex charts, larger files, and precision drag-and-drop tasks usually feel better on desktop. If speed and control matter, desktop is the safer choice.
Is this tool better for one-off tasks or recurring workflows?
It is strongest for fast one-off tasks, quick verification, and temporary exports. If you need long-term automation, team collaboration, or deeper integration, you will usually pair it with desktop software, scripts, or a larger system.
How can I get a better result on the first try?
Start with the built-in example or with the smallest realistic sample you have. Once the format, layout, and export look right, switch to the full dataset or final asset. This is usually the fastest way to catch formatting issues early.
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