Small Multiples

Small multiples display the same visual repeated across categories — perfect for comparing regions, carriers, or product groups with consistent scales.

Do and don't

Small Multiples – good example
Do: clear focus, minimal clutter.
Small Multiples – poor example
Don't: overcrowd or rely on legends only.

Do's

  • Keep scales identical.

    Consistent axes ensure fair comparison.

  • Limit to key categories.

    Too many panels reduce legibility.

  • Provide clear titles per panel.

    Short region labels orient readers quickly.

Don'ts

  • Don’t mix chart types.

    Uniform visuals keep pattern recognition easy.

  • Avoid redundant legends.

    Use shared legends or direct labels.

  • Don’t shrink panels excessively.

    If details vanish, reduce categories or enable scrolling.

Use cases

  • Regional sales trends

    Compare growth trajectories by territory.

  • Carrier performance by month

    See which partners consistently meet SLAs.

  • Warehouse output by shift

    Spot productivity differences over time.

Common mistakes to avoid

Even experienced analysts make these errors. Here's how to spot and fix them:

❌

Overcomplicating the visual

Why it's bad: Too much information overwhelms the viewer and obscures the message.

Fix: Focus on one clear message per chart. Use multiple simple charts instead of one complex one.

❌

Poor color choices

Why it's bad: Can make data hard to read or inaccessible to colorblind viewers.

Fix: Use colorblind-safe palettes and ensure sufficient contrast.

❌

Missing context

Why it's bad: Data without context (targets, benchmarks, time period) is meaningless.

Fix: Always include titles, labels, units, and reference points.

Accessibility guidelines

Make your visualizations accessible to everyone, including users with visual impairments, color blindness, or who rely on screen readers.

🎨

Color Considerations

Use colorblind-safe palettes:

  • Avoid: Red-green combinations (8% of men are red-green colorblind)
  • Use: Blue-orange, purple-yellow, or add patterns/textures
  • Test: Use tools like Color Oracle or Coblis to simulate color blindness

Recommended palettes:

#0173B2
#DE8F05
#029E73
#CC78BC
⚙️

Contrast & Legibility

Meet WCAG 2.1 standards:

  • Text contrast: Minimum 4.5:1 for normal text, 3:1 for large text
  • Chart elements: 3:1 contrast between adjacent colors
  • Labels: Use dark text on light backgrounds (or vice versa)

Font guidelines:

  • Minimum 12pt for body text, 14pt+ preferred
  • Avoid decorative or overly thin fonts
  • Use bold for emphasis, not color alone
🔊

Screen Reader Support

Essential elements:

  • Alt text: Describe the chart's key insight, not just "bar chart"
  • Data tables: Provide raw data as an accessible table alternative
  • Aria labels: Use aria-label for interactive elements

Example alt text:

"Bar chart showing sales increased 30% from Q1 to Q2, with Q2 reaching $2.5M. Technology had the highest growth at 45%."

🛠️

Additional Techniques

Don't rely on color alone:

  • Use patterns, textures, or shapes to differentiate categories
  • Add direct labels to data points when possible
  • Use icons or symbols alongside colors

Interactive features:

  • Ensure keyboard navigation works (tab, arrow keys)
  • Provide text summaries of key findings
  • Allow users to toggle between visual and tabular views

Helpful resources

  • Color Oracle: Free color blindness simulator for Windows, Mac, Linux
  • WebAIM Contrast Checker: Test color contrast ratios
  • ColorBrewer: Colorblind-safe color schemes for maps and charts
  • WCAG 2.1 Guidelines: Full accessibility standards for web content

Story tip

Small multiples show pattern through repetition — they replace colour with structure.

Power BI: Use built-in Small Multiples feature or consistent facets for comparability.