User interaction
User interaction is an exchange in which a person acts on or provides input to a software system and the system responds.
Everyday Data Visualization
Interactivity is the capacity of a visualization or interface to respond to user actions by changing what is displayed or how it behaves.
- How it is used
- Uses interaction to help people explore data and understand a visualization’s message.
- How deep it goes
- Gives practical hierarchy, labeling, tooltip, audience, and accessibility guidance rather than implementation details.
- Examples
- Uses confusing doors, executive reporting, survey bar labels, and tooltip details to illustrate interaction choices.
- What you can do after
- Apply it by prioritizing visible information, adding purposeful controls, and making interactions operable for diverse users.
Read how Everyday Data Visualization explains user interaction →
Data Storytelling with Altair and AI
Chart interactivity is the ability of a visualization to respond to user input such as hovering, clicking, zooming, or panning.
- How it is used
- Supports data exploration and focused comparisons within Altair data stories.
- How deep it goes
- Defines passive and active interaction, then demonstrates tooltips, zooming, panning, sliders, and drop-down menus.
- Examples
- Uses medal bars with tooltips and a continent selector, plus positive and negative salmon-trend highlighting.
- What you can do after
- Apply it via Altair to add tooltips and interactive controls while preserving a chart’s narrative focus.
Read how Data Storytelling with Altair and AI explains user interaction →
Related concepts
- Streamlitproduced by · Streamlit is an open-source Python framework for building interactive web applications, particularly for data and machine-learning applications.
- Altairused by · Altair is a declarative Python library for creating statistical and interactive visualizations using the Vega-Lite grammar.
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