A small multiples visualization presents a series of small, identical graphs or charts — each using the same scale, axes, and visual encoding — arranged in a grid or sequence, each displaying a different subset, slice, or condition of the data. This technique, named by Edward Tufte, persists through data design systems, analytical practice, and visual communication as a method enabling rapid comparison across many views by holding the visual code constant while varying the data subset. The design parameter is the shared visual encoding across all small views; the persistence mechanism is established through data visualization practice, design guidelines, and analytical training.[formal: parvula multiplices | substrate: mind | horizon: a moment | explicit: yes | epoch: 1.13]
Accepted ontology entry
small multiples
A small multiples visualization presents a series of small, identical graphs or charts — each using the same scale, axes, and visual encoding — arranged in a grid or sequence, each displaying a different subset, slice, or condition of the…
Definition
Why it is in scope
A human-made data visualization technique that presents a series of small graphs or charts using identical scales and axes, each showing a different subset or condition of the data, built to persist through design systems, data analysis practice, and visual communication as a method for comparison across many views.
Names and aliases
- small multiplesen · CANONICAL
Relations from this entry
- cmrxqh5nw03vksoac1tgfpgi9INSTANCE_OF →
Small multiples is a specific chart technique consisting of multiple related charts arranged in a grid. Specific→general kind relation.
- cmrwuadcq01dksoacknd5l8nlSERVES →
Small multiples (Tufte's technique of displaying parallel small views of data) is designed for the sake of data visualization — it enables comparison across subsets of data, which is the core purpose of visualizing data. By design and sustained practice in statistics and information design.
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Jul 23, 2026, 2:44 AM UTC
- Content hash
- 6c9f3451237941a6cf358d310a0dc5477c88f2cdb44cfa2f452e3cc80de2abfa