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Annotation

As explained in Everyday Data Visualization

An explanatory label or graphic that draws attention to a specific feature or region of a visualization.

An annotation is explanatory text or a graphic that points to a specific feature in a visualization. It helps repeat the chart’s main insight in words after the data has made it visible, giving the audience a helpful nudge rather than making them hunt for the punchline. section 6.1.5 section 6.1.3

Use annotations to strengthen a chart’s story:

  • Pair the visual pattern with a concise statement of the main conclusion. section 6.1.5
  • Place the callout near the feature that supports the claim, so the connection is easy to follow. section 6.1.3
  • Balance presentation and storytelling: revealing the point early can still work when the chart supports it visually. section 6.1.5

Rhino-poaching visualization

A large callout states that rhino poaching increased almost 100-fold from 2007 to 2014, while the trendline shows the rise and its 2014 peak. The annotation makes the visual climax unmistakable; the later decline shows improvement without pretending the problem disappeared. section 6.1.3 section 6.1.5

How Everyday Data Visualization covers it

How deep it goes
Explains annotations through their narrative role and one chart example, without detailing implementation mechanics.
Examples
Uses a rhino-poaching chart whose callout highlights an almost hundredfold increase and the 2014 trendline peak.
What you can do after
Apply annotations and callouts to restate a chart’s main insight after its visual encoding delivers the evidence.
How it connects
Connects annotations with data labels, callouts, trendlines, data visualization, 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.