Guidelines
Suggest edit

Add comparison data that directly tests the claim

For explanatory comparison tasks, use comparison encodings on charts with a focal measure to improve insight and mitigate unsupported claims for readers who need the values put in perspective.

  • purpose:refine
  • basis:heuristic
  • task:compare
  • quality:insight:use
  • lever:encoding
  • measure:multi
  • communication:context

advice

Add the comparison that proves the claim

Add comparison data that directly tests the point the chart is making. For example, compare a focal series with peer series, a competitor, earlier years, a global average, or outliers only when that comparison is the one that answers the chart’s claim.

reason

Why claim-matched comparisons work

A lone series can show change, but it often cannot show why that change matters. Comparison data supplies the perspective that turns an interesting pattern into a supported point.

Mechanism: Matching the comparison to the claim lets readers judge the chart’s statement from the marks themselves instead of relying on outside explanation.

Evidence: The post says comparison is what puts data into perspective, calls “What should I compare it to?” one of the most crucial questions in data visualization, and shows that the right added data depend on the point the chart is meant to make (Muth, 2017).

context

Use when the chart needs perspective

  • User Goal: Prove why the focal value or trend is notable.
  • Task: Compare a focal series against a relevant benchmark or peer.
  • Data: A focal series already exists, and additional data can be added to test the claim.
  • Chart Setting: The chart already has a stated point and needs evidence for it.
  • Success Criterion: Readers can tell from the chart itself what makes the focal series special.

exceptions

Do not use irrelevant or unsupported comparisons

Break it when: The available comparison answers a different question than the chart’s claim, or you cannot find data that actually supports the claim. Why: Then the chart stops proving its stated point, and you may need to change the story or go back and choose a different point.

costs

Tradeoffs of adding comparison data

Sacrifice: The chart becomes less minimal because it includes more data. Risk: Extra series can distract if they serve a different goal than the main claim. Mitigation: Add only the comparison that matches the point you want the chart to prove.

mistakes

Common comparison failure

Mistake: Leave the focal series alone or add a comparison that belongs to another question. Why it fails: The chart either lacks perspective or starts implying a different story than the title promises.

check

How to check the comparison

Failure Sign: The chart shows values or change, but not why they matter. Quick Check: Ask “Compared with what?” If the chart cannot answer from the marks themselves, the comparison is missing. Stronger Test: Ask a reviewer what makes the focal series special. If they need outside explanation, add or change the comparison data.

fix

How to fix the comparison

  • Add the benchmark or peer series that directly addresses the chart’s claim.
  • Remove comparison data that belong to a different goal than the title.
  • If no supporting comparison data exist, revise the claim before refining the chart further.

References

Muth, L. C. (2017). What Questions to Ask When Creating Charts. https://www.datawrapper.de/blog/better-charts