When should I trim the number of values?
Too many points overwhelm viewers. Keep x-axis labels readable and rumble the data into summary points when possible.
What Is a Stream Graph?
This chart turns structured data into a visual pattern that is faster to scan than a raw table.
Use it when the reader should understand shape, comparison, distribution, proportion, or movement quickly.
Start With the Raw Data
Most charts begin with a small, structured table before the visual layer is added:
| Label | Value A | Value B |
|---|---|---|
| Example 1 | 24 | 31 |
| Example 2 | 30 | 28 |
| Example 3 | 18 | 36 |
The raw values stay the same, but the visual structure makes patterns easier to spot: highs, lows, clusters, gaps, and unusual changes.
What This Chart Helps You See
Business reporting
Operational monitoring
Decision support
Common Ways to Use a Stream Graph
- Explain a business dataset more clearly than a plain table.
- Show comparison, trend, distribution, or relationships depending on the chart type.
- Support dashboards, reports, SEO articles, and stakeholder presentations.
Frequently Asked Questions
How to Use the Live Example Below
Change the editable cells in the live example and save to see how the chart responds.
Show Flowing Composition Over Time
Stream graphs are a flowing version of stacked areas. They emphasize how categories rise and fall together over time.
Live Demo: Editable Series Data
Instructions: Adjust values to see the stream flow reshape.
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When to Use Stream Graphs
- When you want a visually rich trend story.
- When composition over time is the main message.
- When you have 3-5 series and want a flowing look.