Best Practices and Data Storytelling

The ultimate goal of data visualisation is not just to display data — it is to communicate a message. The most technically sophisticated chart fails if the audience does not understand it or does not care. This lesson covers best practices for chart design, common mistakes to avoid, and the art of data storytelling.

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The Data Storytelling Framework

A data story has three components:

Component	Description
Data	The foundation — accurate, relevant, well-prepared
Narrative	The story arc — context, conflict, resolution
Visuals	The charts — chosen and designed to support the narrative

A good data story answers: What happened? Why does it matter? What should we do about it?

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The Narrative Arc

Every compelling data story follows a structure:

1. Setup (Context)

Provide background. Why are we looking at this data? What is the business question?

2. Rising Action (Exploration)

Show the data. What patterns emerge? What is surprising or concerning?

3. Climax (Insight)

Deliver the key finding — the "aha moment" that changes understanding.

4. Resolution (Recommendation)