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Overview

As explained in Everyday Data Visualization

A summarized initial view that presents the broad structure, scope, or main findings of information.

An overview gives people their bearings before asking them to investigate. For interactive visualizations, the useful rhythm is: overview first, zoom and filter next, then details on demand. section 7.2.1

A practical overview workflow:

  • Show the broad structure and key takeaways so users understand what they are seeing. section 7.2.1
  • Let users zoom or filter away distractions while preserving enough context for comparison. section 7.2.1 section 9.2.2
  • Offer drill-down details only after users have selected what deserves closer inspection. section 7.2.1

From statewide risk to one community

A drought-risk dashboard starts with a scatterplot showing overall risk against a selectable risk factor. Users can filter their focus, select a census tract, and open a map showing its location. A KPI dashboard applies the same pattern with overview cards, metric-specific breakdowns, and small multiples that retain the unsliced total for context. section 7.2.1 section 9.2.2

Figure 9.8 When asked to use someone else’s suboptimal design, I gave the client what they requested, but then, on the side, I whipped up a quick wireframe of something I thought would satisfy their needs better: a dashboard following the visual information-seeking mantra of overview first (top), then zoom and filter (lower left), then details on demand (lower right).
09-08

Use the wireframe to compare the three stages spatially: overview at the top, zoom and filter at lower left, and details on demand at lower right. section 9.2.2

How Everyday Data Visualization covers it

How deep it goes
Explains a three-stage interaction pattern and demonstrates it in dashboards, without descending into implementation internals.
Examples
Uses drought-risk scatterplots, census-tract maps, KPI cards, dropdowns, and small multiples with totals retained for comparison.
What you can do after
Apply it by arranging dashboards as overview, zoom and filter, then details on demand.
How it connects
Connects interactive visualization, dashboards, filtering, drill-down, small multiples, and visual information-seeking.

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.