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 (https://www.datawrapper.de/blog/better-charts">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