Darker cells mean a higher score for this topic on that metric.
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Quick answers
When should I pick Histogram?
When the story is: one continuous measurement and its shape.
When should I avoid Histogram?
Skip it in cases like: bins differ in width, or you are comparing named categories.
Who invented or popularised it?
Karl Pearson, 1891, as a graphical frequency distribution
What does it encode?
count of observations inside each bin
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.
Histogram encodes values as count of observations inside each bin. Karl Pearson, 1891, as a graphical frequency distribution.
In reports, ads and assignments it fits one continuous measurement and its shape. Skip it when bins differ in width, or you are comparing named categories.
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.
Histogram: honour count of observations inside each bin, and switch when bins differ in width, or you are comparing named categories.