Module 2C Explaining Visually Flashcards
What is storytelling in the context of data visualization?
Storytelling in data visualization refers to the ability to build a narrative from data that is meaningful, memorable, and likely to influence the audience.
What should you consider about your audience when presenting data?
You should consider their needs for high-level vs. detailed understanding and their level of analytical comfort (high vs low).
What are critical aspects to consider when determining your message in data visualization?
Consider the insights you want to convey, the limitations inherent in your data, and what will help decision makers.
What does it mean to empathize with data?
Empathizing with data means creating visualizations that help understand and share the feelings of others, impacting decisions effectively.
What are common challenges in creating empathy with data?
Common challenges include losing meaning with large numbers and forgetting individual cases when looking at aggregate statistics.
How can pre-attentive attributes be used in storytelling with charts?
Pre-attentive attributes like color, form, spatial positioning, and movement can be processed quickly by the audience to enhance storytelling.
What are the components of Aristotle’s Rhetorical Triangle and their significance?
Ethos (credibility, trust), Logos (logical insights), and Pathos (emotion) are the components used to make an argument more effective and persuasive.
What are the stages of Freytag’s Pyramid?
Introduction, Rising Action, Climax, Falling Action, Conclusion – outline the structure of a compelling story.
What is storyboarding and how can it be done?
Storyboarding is the visual organization of a narrative intended for an audience, done using low-tech methods like Post-it notes or high-tech methods like PowerPoint.
