Storytelling With - Data: A Data Visualization Gu...

: Prioritize affordances (making it clear how to use the visual), accessibility (ensuring everyone can understand it), and aesthetics (making it visually pleasing without being distracting).

: Wrap your data in a narrative structure that includes a beginning (the setup), a middle (the conflict or "aha" moment), and an end (a clear call to action). Practical Techniques for Success Storytelling with Data: A Data Visualization Gu...

The book outlines six key steps to transform raw data into a compelling narrative: : Prioritize affordances (making it clear how to

: Not every graph is suitable for every situation. The book suggests sticking mostly to simple bar and line charts for most business contexts and avoiding complex or misleading visuals like 3D pie charts. The book suggests sticking mostly to simple bar

: Every element on a page adds cognitive load for the audience. Use Gestalt Principles of Visual Perception —such as proximity, similarity, and enclosure—to identify and remove "noise" that doesn't add value.