tufte-small-multiples

Small multiples are grids of identical panels sharing scales and structures, used to facilitate multivariate comparison. Use them when overlaid charts become cluttered or separate charts prevent direct visual correlation across categories or time.

Design trellis displays by enforcing shared axis ranges and consistent encoding across all panels. Shrink individual panels to maximize the amount of information visible within a single eyespan, ensuring effective multivariate comparison without clutter.

Audit a dashboard for comparison efficiency by evaluating eyespan constraints and checking if separate charts should be converted into a small-multiple array. This standardizes faceted layouts to better reveal trends across categories.

Faceted charts fail when they lack shared axis ranges or consistent encoding. Small multiples require standardized panel structures and eyespan-constrained layout principles to ensure high data density and accurate visual correlation.

Yes, small multiples are ideal for time series data across categories. By applying consistent encoding and shared scales across a trellis display, you can reveal trends and facilitate direct visual comparison within a single eyespan.