Guidelines
Suggest edit

Use a shared line chart for same-date comparisons

For same-date comparison over ordered time, use single-view structure on multi-series line charts to improve fidelity and mitigate cross-panel comparison errors for readers judging which series is higher at a specific point.

  • purpose:select
  • basis:heuristic
  • task:compare
  • time:ordered-time
  • structure:single-view:use
  • structure:small-multiples:avoid
  • quality:fidelity
  • lever:layout-structure

advice

Use a shared plot for same-date comparisons

Put series back into one shared line chart when readers need to compare categories at a specific time point. For example, use a single-view line chart instead of separate panels when the key question is which series was higher in a given year.

reason

Why a shared plot helps point-by-point comparison

One shared plot preserves common vertical position at each date. Readers can then compare categories directly at the same time point.

Mechanism: A shared plotting area makes same-date height comparisons immediate across series, while separate panels break that direct comparison.

Evidence: Single-view line charts are recommended over small multiples when the reader needs to answer questions about which series was higher at a given time (Muth, 2024).

context

Use when the question is which series is higher on one date

  • User Goal: Compare categories at one specific time point.
  • Task: Decide which series is higher on the same date.
  • Data: Multiple temporal series sharing the same dates.
  • Chart Setting: Choosing between separate panels and one shared line chart.
  • Success Criterion: A same-date higher/lower comparison is immediate.

exceptions

Do not use when overlap is the bigger problem

Break it when: Even a handful of lines overlap a lot or the main goal is to see each line’s shape. Why: Overlapping lines can overwhelm readers and make each trend harder to parse.

costs

Costs of combining panels into one plot

Sacrifice: You give up the breathing room that separate panels provide. Risk: The shared plot can become tangled if many lines cross. Mitigation: Switch back to small multiples when trend shape matters more than same-date comparison.

mistakes

Common faceting mistake for comparison tasks

Mistake: Separate every series into its own panel when the task is a same-date comparison. Why it fails: The faceted layout hides which series is higher at that moment.

check

Test the comparison task in both structures

Failure Sign: A reader cannot answer a same-date higher/lower question from the faceted version. Quick Check: Compare the faceted version against a single shared-axis line chart using one same-date question; if the shared plot answers it immediately, use the shared plot. Stronger Test: Try several same-date lookups and see whether the answer depends on mentally jumping between panels.

fix

Edits that restore direct comparison

  • Combine the separate panels into one shared plotting area.
  • Keep the series on the same axes so same-date height comparisons are direct.
  • If the merged plot becomes too tangled to read, switch back to small multiples for trend reading.

References

Muth, L. C. (2024). What to consider when creating small multiple line charts. https://www.datawrapper.de/blog/what-to-consider-when-creating-small-multiple-line-charts