SYSTEMA CONSTRUCTUM

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…

ACCEPTED THINGcmrwwqx1r01lssoac1g86pmtd

Definition

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]

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

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

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