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Gestalt principle

As explained in Everyday Data Visualization

A design principle describing how perception organizes patterns and simplifies complex visual information into unified forms.

A Gestalt principle describes how perception organizes many parts into a unified whole, helping the brain recognize patterns and simplify visual complexity. In design and data visualization, these principles make relationships easier to see without requiring every element to be inspected individually. section 2.2

Use these perceptual relationships to organize visual information:

  • Enclosure and proximity group elements that appear correlated. section 2.3
  • Similarity makes objects with shared shapes or appearances feel like members of the same group. section 2.3
  • Symmetry establishes repetition through reflectional, rotational, or translational patterns. section 2.3
  • Connection signals relationships between elements, while closure and continuity encourage the eye to complete gaps in open or closed paths. section 2.3

Making a chart’s point visible

A chart can announce its message in the title, communicate it visually through trends and Gestalt grouping, then reinforce it with labels, annotations, and callouts. For a multiline chart, decluttering or using small multiples can make relationships easier to follow than leaving every line tangled together. section 6.1.5 section 6.4

Figure 2.6 Search results for the query “What are the gestalt principles?”
02-06

Use the search-results figure as a reminder that Gestalt principles do not form one universally agreed, exhaustive list. section 2.2

How Everyday Data Visualization covers it

How deep it goes
Defines seven commonly used relationships and applies them to charts, while stopping short of claiming an exhaustive taxonomy.
Examples
Uses cloud shapes, grouped chart elements, trendlines, annotations, multiline charts, and small multiples as concrete examples.
What it assumes
Assumes basic familiarity with visual information and charts while explaining perceptual grouping in conversational terms.
What you can do after
Apply it to group chart elements, choose clearer visual structures, and emphasize relationships without distracting from the message.
How it connects
Connects visual grouping with preattentive attributes, data visualization, chart selection, annotations, and storytelling.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Everyday Data Visualization. The section links point to the parts of the book it draws on.