liveBook · Manning

Data storytelling

Data storytelling is the practice of communicating analytical findings through a coherent narrative that integrates data, visualizations, and explanatory context.

How 2 Manning books explain it

Data Storytelling with Altair and AI

A data story is a narrative that communicates insights by integrating data, visual representations, and explanatory context.

How it is used
Communicates analysis results to audiences through reports, presentations, dashboards, and decision-oriented narratives.
How deep it goes
Develops a repeatable DIKW workflow from insight extraction through context and calls to action, with practical chart-building support.
Examples
Uses pet-event participation, retail sales reporting, marketing campaigns, dashboards, aquaculture sales, and a funding proposal.
What you can do after
Apply it to turn data and charts into audience-focused stories with context and actionable next steps.

Read how Data Storytelling with Altair and AI explains data storytelling →

Everyday Data Visualization

The practice of communicating data insights through a narrative shaped for an intended audience.

How it is used
Shapes visualizations around audience needs so viewers understand the message and can act on it.
How deep it goes
Explains audience alignment and a title-chart-annotation structure, but stops short of tool-specific implementation.
Examples
Uses a rhino-poaching chart whose title, trendline, and callout repeat the same central message.
What you can do after
Evaluate visualizations for audience understanding, message clarity, and potential action.

Read how Everyday Data Visualization explains data storytelling →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.