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.