Double Fan Colorful Chord Diagram Generator
Use Double Fan Colorful Chord Diagram Generator
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Upload a bipartite source,target,value CSV to generate a double-fan colorful chord diagram: five solid-colored arcs fan across the top and five pastel arcs fan across the bottom along the same circle, with translucent colored ribbons crossing the open centre to form an hourglass waist. Every sector carries its own tick axis; dark mode and PNG / SVG export, all processed locally.
About this tool
A plain chord chart squeezes every node into one ring, so two roles are hard to compare. This double-fan layout pushes each camp to 12 and 6 o’clock, fans them apart and leaves the 2 and 9 o’clock sides open, joining them only by translucent colored ribbons — follow the hourglass waist and you can trace where each flow comes from and where it lands. Every sector also carries its own axis starting at 0, with arc length proportional to that node’s total flow and major ticks every 10 units, so you can read values instead of guessing.
- 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
Free online double fan colorful chord diagram generator. Upload a three-column source,target,value CSV to build an hourglass-shaped bipartite chart: five solid-colored arcs fan across 12 o’clock, five pastel arcs fan across 6 o’clock along the same circle, with open gaps at 2 and 9 o’clock. Translucent colored ribbons cross the center waist, and every sector carries its own tick axis starting at 0. Ships with a 5 × 5 sample matrix, PNG / SVG export and dark mode.
What is a double fan colorful chord diagram
A double fan chord diagram is a bipartite variant of the classic chord diagram — the layout you see in circlize as a bipartite chord plot. Instead of spreading every node around one full ring, it splits the same circle into two opposing fans: all source nodes sit in the fan around 12 o’clock, all target nodes in the fan around 6 o’clock, with two open gaps at 2 and 9 o’clock that give the plot its hourglass silhouette. Each node is an arc band whose angular width is proportional to its total flow; the top fan uses five saturated solids (near-black, crimson, grass green, medium blue, cyan) while the bottom fan echoes them in pastel tints, with black shared rather than lightened. Every source-to-target relationship becomes a translucent colored ribbon whose end width is allocated by value, pinching toward the circle center as it crosses the open waist — so the density of the picture is the flow distribution itself.
What you can do
- Upload CSV — three columns
source,target,value, up to 8 nodes per side and 120 rows. - Instant render — twin fans, center-crossing ribbons, and a dedicated 0-based tick axis on every sector (majors every 10 units).
- Arc length equals flow — sector width follows each node’s total flow and ribbon end width follows each individual value, with no manual layout.
- Light / dark mode — one click switches the canvas, and the export keeps the background you chose.
- Export PNG / SVG — 2× PNG and lossless vector SVG, no watermark.
- Local privacy — everything is processed in the browser, nothing is uploaded.
How to use
- Open the page to see the 5 × 5 sample matrix rendered as a double fan chord diagram; upload or drag in your own CSV, or click “Load sample” first.
- Hover any sector or ribbon to read that node’s total or a single flow value.
- Switch light / dark mode when needed, or use the button in the top-right corner for a fullscreen preview.
- Click “Download PNG” or “Download SVG” to save the image.
CSV format example (three comma-separated columns, with or without the source,target,value header):
source,target,value
C1,R1,14
C1,R2,9
C2,R2,16
C2,R3,7
Where it fits
- Channel and flow analysis: ad channels to conversion outcomes, upstream suppliers to procurement categories.
- Cost and budget allocation: cost centres to expense accounts, departments to projects.
- Requirement and test coverage: requirements to implementation modules, modules to test cases.
- Matrix surveys: survey options to audience segments, symptoms to diagnoses.
- Decks and posters: the built-in tick axes make values readable, so the chart can go straight onto a slide or report cover.
Notes
Accepts .csv text files; a name may not appear in both the source and target columns (strict bipartite data). The top fan uses five solid hues and the bottom fan their pastel echoes; each ribbon takes a lightened tint of its source hue at roughly 0.7 opacity, and the bottom fan also carries a thin outer strip segmented by partner color. Each sector’s axis starts at 0 at one end of its arc and increases clockwise to that node’s total in/out flow — top-fan numbers ascend left to right, bottom-fan numbers ascend right to left on screen, following the traditional circlize convention. If you need to compare small numeric differences precisely, a bar chart is the better tool.
Last verified: 2026-09-11
How to read this chart
Start with the color split: the fan at 12 o’clock holds sources (five solid hues) and the fan at 6 o’clock holds targets (pastel echoes, with black shared). A wider sector means a larger total flow for that node. Take any colored ribbon — one end sits on a source sector’s inner edge, the other lands on a target sector’s inner edge, so it reads “this source → that target”; a wider ribbon means a larger value. The tick axis outside each sector is that node’s own cumulative flow scale, starting at 0 with majors every 10 units and numbers set along the arc tangent, so you can read the approximate value of each flow, not just its relative size.
FAQ
How do the source, target and value columns work?
Three-column CSV: source,target,value. Sources and targets must be disjoint (strict bipartite) and values must be positive. Up to 120 rows, with no more than 8 nodes per side. Each node’s angular width inside its fan is proportional to its total flow.
What is the tick axis outside each sector?
It is that node’s own cumulative flow axis: it starts at 0 at one end of the node arc and increases clockwise up to the node’s total in/out flow, in the same unit as the CSV value column. Major ticks sit every 10 units with printed numbers, minors every 2. Top-fan numbers ascend left to right; bottom-fan numbers ascend right to left on screen because their clockwise direction is mirrored — the usual circlize convention.
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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