Interactive visualization
An interactive visualization is a graphical representation of data whose displayed content, appearance, or level of detail changes in response to user interaction.
D3.js in Action, Third Edition
An interactive visualization is a data visualization that changes or reveals information in response to user actions or dynamic data.
- How it is used
- Uses D3 interactions to help people explore data, reveal details, and focus attention beyond a static chart.
- How deep it goes
- Explains event listeners, filtering, tooltips, transitions, and selection updates through chart projects, while deferring brushing, zooming, and panning.
- Examples
- Uses filtered histograms, temperature-line tooltips, streamgraph breakdowns, scatterplots, and Ben & Jerry’s visualization projects.
- What you can do after
- Build it from scratch with D3 by wiring events, filters, tooltips, and animated enter-update-exit behavior into charts.
Read how D3.js in Action, Third Edition explains interactive visualization →
Everyday Data Visualization
A data visualization whose displayed content or level of detail can be changed through user interaction.
- How it is used
- Supports exploratory analysis by letting users inspect ongoing data from multiple angles; explanatory visuals may also use interaction.
- How deep it goes
- Defines overview, zoom, filtering, and details on demand, then adds audience guidance and mental-model considerations without prescribing software implementation.
- Examples
- Uses a California drought-risk dashboard and a health-indicator dashboard with selectable segments to demonstrate layered exploration.
- What you can do after
- Builds interactive dashboards that orient users, support focused exploration, reveal details selectively, and accommodate different levels of audience familiarity.
Read how Everyday Data Visualization explains interactive visualization →
Related concepts
- datasetuses · A dataset is an organized collection of related data items, records, or observations treated as a unit for storage, processing, analysis, or computation.
- data explorationuses · Data exploration is the systematic examination and summarization of data to understand its structure, quality, distributions, relationships, patterns, and anomalies.
- data applicationkind of · A data application is software whose functionality substantially involves collecting, processing, analyzing, presenting, or interacting with data.
- tooltiphas part · A tooltip is a transient interface label that displays brief contextual information near an associated element during interaction.
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