The balance of form and function is key to good design. In this video, Amy Balliett explains how overdoing or underdoing a data visualization can be equally detrimental. Visualizations that are too complex risk confusing the viewer or obfuscating the meaning, while those that are too simple will underwhelm them and lose their interest.
- [Instructor] The best data visualizations…perfectly marry form and function.…Form is the aesthetic look and feel of something,…whereas function focuses…on whether or not the design is effective…at accomplishing the goals or tasks associated to it.…Another way to think about this is complex versus simple.…Is the visualization too complicated to understand quickly?…Is it so simple that it looks like it was designed in Excel?…The perfect middle ground is a visual…that is appealing to the eyes…while being very simple to digest.…
As an example of what I mean,…let's pretend that you have data…about the demographic mix of America's population over time.…It would make the most sense to visualize this…with an area graph like we have here.…Now, suppose your boss wants you…to dress up the design a bit.…Maybe he feels that he could've made the graph himself,…and wants something that will grab people's eyes.…He asks you to tie it into America somehow,…since that's what it's all about after all, right?…In response to this weird request,…
To succeed in design and marketing today, one must know how to interpret and properly visualize data. This course, developed and led by Killer Infographics CEO, Amy Balliett, walks you through the ins and outs of creating accurate and compelling data visualizations. Amy focuses on best practices, not tools, although she does provide an overview of Illustrator graphing features. Using these tips, you'll learn how to stand out from the crowd and create charts and graphs that combine precision with visual appeal.
- What charts and graphs work best for different types of data
- Putting data into visual and textual context to ensure it is accurate
- Visualizing data that doesn't lend itself to imagery
- Adding visual appeal without sacrificing accuracy
- Using the Adobe Illustrator graphing tools
- Avoiding common data viz mistakes