Join Bill Shander for an in-depth discussion in this video Adding text, legends, labels, and sources, part of Designing a Data Visualization.
- So as you can see I've got my story callouts all in place…and as I was working on this you'll notice a few things,…I'm just gonna zoom in here,…as I was putting these in place I came across…a few issues that I had wanted to adjust my design for.…And so just three quick things.…I'm just gonna zoom in a little tighter here.…First of all I ended up making all of my colors darker…for this text, this text, my lines,…including these arc lines.…The lighter shade of grey that I had chosen…just wasn't contrasty enough,…everything looked a little bit too washed out,…so I actually went to my darkest shade of grey…in my palette, this one over here.…
Another thing I did was I actually changed my headers.…Instead of using sentence case or title case rather,…I actually changed them to all caps…and made them italicized as well,…just felt a little bit stronger,…a little bit more interesting visually.…And finally, the most important change I made…is you'll notice here the EDUCATION OUTLIERS box…is the one box that actually crosses these paths…
The UN Human Development Index used in this course is a perfect example: a composite number used to rank countries on how well they're doing across a range of measures (such as health, wealth, and education). Instructor Bill Shander shows how to make this index data tangible and approachable by imagining the story and visual approach first. He then builds the design in Adobe Illustrator, capitalizing on some automation and scripting abilities the program offers. Start watching for unique insights into the entire data visualization process.
- Working with the data
- Sketching and wireframing your design
- Roughing out the visual design components
- Manually creating the design in Illustrator
- Using Illustrator scripting to improve accuracy, speed, and repeatability
- Designing callout boxes, legends, labels, and more
Skill Level Intermediate
Learning Data Visualization (2014)with Bill Shander3h 41m Beginner
1. Getting to the Idea
2. Getting to the Visual Approach
Sketching and wireframing8m 22s
3. Roughing Out the Design Elements
4. Bringing the Visuals to Life
Next steps2m 21s
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