Why Small Multiples Beat One Crowded Chart
Launch library · evergreen read
Cramming ten trend lines onto a single crowded chart usually produces a tangled mess that no reader can actually follow, no matter how carefully the colours and legend have been chosen by whoever originally designed the page for publication. A single overloaded chart often ends up telling no clear story at all, however much data it contains.
Small multiples solve this by splitting the same data into several smaller, individually simple charts arranged side by side, letting a reader compare shapes and patterns across panels without untangling a dozen overlapping lines competing for attention on one crowded page at once. Each small panel can be read on its own, then compared quickly against its neighbours.
The tradeoff is that small multiples take up considerably more visual space and cannot show fine grained interaction between series as easily as one combined chart could. For genuinely comparing overall shape and pattern, though, the clarity gained is usually well worth that extra room. That tradeoff is usually worth accepting whenever the underlying comparison genuinely matters to the reader.