Insight Stream Insight Stream | Data Analytics & Visualisation Guide

Area Chart

Area charts show how components build up over time โ€” ideal for illustrating how freight modes or regions contribute to total shipments.

Example do and don't images

Area Chart โ€“ good example
Do: Clear focus, minimal clutter.
Area Chart โ€“ poor example
Don't: Overcrowd or rely on legends only.

Do's

  • Use translucent fills.

    Transparency keeps overlapping layers legible.

  • Limit to a few series.

    Three to five categories is readable; beyond that, consider small multiples.

  • Annotate key shifts.

    Highlight when one transport mode overtakes another or a depot expands capacity.

Don'ts

  • Avoid unrelated measures.

    Stack only values that sum meaningfully, like tonnes shipped by mode.

  • Donโ€™t over-granularise time.

    Smooth weekly data to months if noise hides the trend.

  • Donโ€™t rely on colour alone.

    Differentiate layers with labels or light outlines for clarity.

Use cases

  • Cumulative shipments by mode

    Shows road, rail, and air contributions to overall volume.

  • Energy use by fleet type

    Tracks sustainability metrics over time.

  • Capacity planning

    Visualises total throughput and seasonal peaks.

Common Mistakes to Avoid

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

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Stacking without order

Why it's bad: Middle series become impossible to read accurately.

Fix: Place most important series at the bottom, or use small multiples instead.

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Using for negative values

Why it's bad: Area charts imply accumulation; negatives create visual confusion.

Fix: Use line charts for data with negative values.

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Overlapping areas

Why it's bad: Obscures data and makes comparison impossible.

Fix: Use transparency or switch to line chart with different markers.

Accessibility Guidelines

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

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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
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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%."

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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

Area charts illustrate how the whole builds from its parts, great for showing mix and growth in supply networks.

Power BI: Use Area or Stacked Area visuals; enable data labels sparingly to avoid clutter.