Guidelines
Suggest edit

Use split per-series rows for dispersed cross-series comparisons

For dispersed cross-series value comparison in ordered time, prefer split per-series layouts on multi-series temporal charts to improve readability and mitigate slow tracing through overlaid series for readers doing quick overview analysis.

  • purpose:select
  • basis:empirical
  • task:compare
  • time:ordered-time
  • structure:multi-view:use
  • structure:single-view:avoid
  • quality:readability
  • lever:layout-structure

advice

Split per-series rows

Choose split per-series rows when readers must compare series values at different time positions across the span of multiple time series. For example, use small multiples or horizon graphs instead of a single overlaid simple line graph or braided graph for a dispersed cross-series value comparison.

reason

Why split rows work here

Split per-series rows separate each series vertically, so readers can trace one series across a long span without overlap from the others. That reduces the clutter and long-range line tracing required in shared overlays.

Mechanism: Vertical separation makes dispersed comparisons easier because each series can be followed without interference from overlapping series.

Evidence: Controlled comparisons found the split per-series views faster than the shared-space views for the dispersed aggregate/discrimination-style task, and the collated record ranks the row-based designs ahead of the overlaid designs on time for this task family (Javed et al., 2010; Zeng & Battle, 2023).

Notes: The structured record emphasizes the time advantage for this task; it does not report significant accuracy pairs.

context

Use when all of these are true

  • User Goal: Compare values from different series at different marked time positions.
  • Task: Dispersed cross-series comparison over a broad visual span.
  • Data: Several series share the same ordered time axis.
  • Chart Setting: Static, noninteractive overview view with all series shown simultaneously.
  • Audience: Readers making quick cross-series comparisons.
  • Success Criterion: Faster completion on dispersed comparison questions.

exceptions

Do not use when any of these are true

Break it when: Readers only need to identify which series is highest at one shared time point. Why: Shared-space layouts were faster for the local find-extremum task.

costs

What you give up

Sacrifice: Split rows weaken direct same-space comparison across series. Risk: Local same-time comparisons become slower because readers must move between rows. Mitigation: Reserve split rows for dispersed comparisons that span different positions or long visual spans.

mistakes

Common failure mode

Mistake: Keep all series overlaid in one shared plot for a dispersed comparison across different time positions. Why it fails: Overlap and clutter make long-range tracing across series slower.

check

How to review it

Failure Sign: Reviewers must trace lines through overlap to compare values located at different positions. Quick Check: Compare the current shared overlay against a split per-series version on the same dispersed comparison question. Stronger Test: Time a few readers on both layouts and keep the faster one for that question type.

fix

What to change

  • Split the series into separate aligned rows for the dispersed comparison view.
  • Use small multiples when the comparison can rely on common axes across rows.
  • Use horizon graphs when you want the same row-based separation in a more compressed per-series view.
  • Remove the shared overlay from the dispersed comparison view.

References

Javed, W., McDonnel, B., & Elmqvist, N. (2010). Graphical Perception of Multiple Time Series. IEEE Transactions on Visualization and Computer Graphics, 16(6), 927–934. https://doi.org/10.1109/TVCG.2010.162
Zeng, Z., & Battle, L. (2023). A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3544548.3581349