Darker cells mean a higher score for this topic on that metric.
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Last reviewed Sources & creditsMedia creditsMethodology
Quick answers
When should I pick Scatter plot?
When the story is: correlation, outliers and clusters in two measures.
When should I avoid Scatter plot?
Skip it in cases like: one axis is not quantitative, or time is the real story.
Who invented or popularised it?
John Herschel plotted orbits; Galton’s 1880s regressions made the form famous
What does it encode?
position of points on two quantitative axes
Is it OK in ads?
Yes if one claim is visible at a glance in Meta, Google and retail print; otherwise link to a full figure.
Will a teacher accept it?
Yes for lab reports and poster boards if axes, units and a source line are present.
Scatter plot encodes values as position of points on two quantitative axes. John Herschel plotted orbits; Galton’s 1880s regressions made the form famous.
In reports, ads and assignments it fits correlation, outliers and clusters in two measures. Skip it when one axis is not quantitative, or time is the real story.
Software
- Software 1 — Excel or Google Sheets
- Software 2 — PowerPoint
- Software 3 — Figma / Illustrator — ad and poster shapes
- Software 4 — Python matplotlib or R ggplot — assignment and research figures
- Software 5 — This atlas's server-rendered SVG — examples without a chart library
Exports
- Exports 1 — SVG
- Exports 2 — PDF
- Exports 3 — EMF/SVG into slides (no screenshots)
- Exports 4 — SVG for web, PDF for print
Accessibility
- Accessibility 1 — Never hue alone. Stack pattern, label and position.
- Accessibility 2 — 4.5:1 for text, 3:1 for large marks.
- Accessibility 3 — Short alt text on the chart; numbers also as an HTML table.
- Accessibility 4 — Motion only as emphasis. Honour prefers-reduced-motion.
Scatter plot: honour position of points on two quantitative axes, and switch when one axis is not quantitative, or time is the real story.