"When we try new things many of them will fail!" -Ellie Fields
Hannah Fairfield - New York Times Senior Graphics Editor
When making data visualizations:
- Layering information is critical
- Design to reveal
- Quiet clarity can be powerful
- Beware of the false reveal
- Edit wisely, mobile requires it
Q: How should projections be shown?
A: Always show what you know and don't know and be sure to LABEL them clearly.
Short Stories - Chad Skelton, Ben Jones, Katie Peek, RJ Andrews, Kennedy Elliot
- Make data visualizations relevant and engaging by personalizing the data
- Get users to look at the big picture by first showing themselves
- Anticipate the needs of your audience
- Make visualizations clear by adding labels, but not too many!
- 7 data story types - changes over time/time series, drill down, zoom out, contrast, intersection, factors, outliers
Kim Rees - Periscopic Head of Information Visualization
The Method:
The Method:
- Modeled in historic reality - start with a simple truth
- Use the inverted journalistic pyramid (summary, supporting information, background)
- Satisfy the desire to know - allow users to answer their questions (via filters or key findings section)
- Shared exteriority - add an introduction for the data
Michael Austin - Author and Provost
- Storytelling is a human universal
- "Successful narratives are those that introduce and resolve our anxiety" and likely include excitment, exaggeration, and speculation
0 comments:
Post a Comment