Skip to content Skip to a section
Scatter plot

When to use

Two measured variables as a cloud of points — the honest way to talk about correlation. Fit. correlation, outliers and clusters in two measures.

At a glance
Score intensity

Darker cells mean a higher score for this topic on that metric.

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.

Start with this section - When to use

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.

Use when

Avoid when

Audiences

Scatter plot: honour position of points on two quantitative axes, and switch when one axis is not quantitative, or time is the real story.

← Anatomy Scatter plot Craft →