Insight Stream Insight Stream | Data Analytics & Visualisation Guide

Small Multiples

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

Example do and don't images

Small Multiples โ€“ good example
Do: Clear focus, minimal clutter.
Small Multiples โ€“ 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

  • Donโ€™t mix chart types.

    Uniform visuals keep pattern recognition easy.

  • Avoid redundant legends.

    Use shared legends or direct labels.

  • Donโ€™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:

โŒ

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.

โŒ

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.

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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.

๐ŸŽจ

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
โš™๏ธ

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
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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%."

๐Ÿ› ๏ธ

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

๐Ÿ“– 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 โ€” they replace colour with structure.

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