The AI+ Library — byStraits Institute for Applied AI
AI+Libraryby Straits Institute for Applied AI
Catalogue/Tier 3 · Job Skills/Business Operations
AI+ Data Visualisation cover
T3-34 · Tier 3 · Job Skills

AI+ Data Visualisation

Turn Numbers Into Stories People Understand

Charts that get read. Stories that get acted on.

Your charts are technically correct — and nobody reads them. The data is good; the presentation isn't landing. This book gives you the Chart Question Framework for selecting the right chart every time, the CAST Framework for turning five unordered charts into a three-minute argument, and a 27-prompt Data Visualisation Toolkit for AI-assisted creation and critique. Ten chapters, 8–12 hours of learning, built by an AI engineering firm.

Tier
Tier 3 · Job Skills
Category
Business Operations
Format
Guide
Updated
Q2 2026
Digital Edition
US$58
Read on iG PublishingSee in 2 reading paths
Inside
  • 32 ready-made, market-tested prompts: chart selection, design critique, dashboard layout, narrative construction, audience adaptation
  • The Chart Question Framework for selecting the right chart every time
  • The CAST Framework for turning unordered charts into a three-minute argument that lands
  • A multi-audience adaptation discipline — executive, technical, and public versions of the same data
  • A 30-day plan for policy analysts, finance professionals, researchers, marketers, and strategy consultants whose work involves quantitative content
Who this is for

Any professional who needs to present data to others — a policy analyst preparing a dashboard for ministers, a marketer creating a campaign performance deck, a finance professional visualising budget variances, a researcher presenting survey results, an operations manager reporting KPIs to leadership. Cross-industry by design: the skill is the same whether the data is clinical outcomes, customer churn, or public sector expenditure.

Also for:Professionals who already produce charts but want them to be clearer, more persuasive, and more efficiently produced with AI assistance. Also: professionals who have completed T3-29 and want to go further with the visualisation layer.

You’ll be able to
  • Select the appropriate chart type for a given analytical question and audience
  • Apply design fundamentals — colour, typography, layout, whitespace — to make charts clear and credible
  • Use AI to create, iterate, and refine data visualisations across common tools
  • Design a multi-panel dashboard for a specific audience and decision context
  • Structure a data story using the CAST Framework to guide an audience from context to decision
  • Adapt data presentations for executive, technical, and public audiences
What’s inside
Diagnostic
How strong is your data visualisation practice?
Chapter 1
AI in Data Visualisation Right Now
Chapter 2
How Visuals Communicate
Chapter 3
Chart Selection
Chapter 4
Design Principles for Data Visualisation
Chapter 5
Creating Charts with AI
Chapter 6
Dashboard Design
Chapter 7
Data Storytelling
Chapter 8
Presenting Data to Different Audiences
Chapter 9
Accessible and Inclusive Data Design
Chapter 10
Your 30-Day Visualisation Practice
Back matter
Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm — for professionals whose data has to land, not just appear on a slide.

Appears in 2 reading paths
IND-07The Government & Public Sector BundleSKL-04The AI Data & Reporting Bundle
Reads well with

Often read alongside this title.

How this was made

AI+ Data Visualisation is written by AI engineers who build production AI systems, then pressure-tested by professionals who apply the skill in their work. It is reviewed every six months and updated whenever the technology or regulation shifts.

Our editorial approach →