Using typography for every piece of data means there's no visualization happening at all! However, sometimes a number simply isn't suited for any type of data visualization, leaving typography as the best option. Amy Balliett explains how to identify a scenario where typography is the right choice.
- [Instructor] Now that you know when not to use quantagrams, you might be wondering what else you can use to display a large number over 100. The answer is simple, typography. If you took my previous infographic course, you might remember my rule, typography is not a crutch. Typography shouldn't be used just because it's easy. In fact, most designers would argue that it's not that easy after all. Typography should only be used when there isn't any other way to properly visualize the data.
When a number is greater than 100, it's not a percentage, and it stands alone from any other data, then it makes sense to use typography to ensure the numbers stand out. When using typography, make sure you're not adding a new font to your overall design like you see with the bubbles in this example and the comic scene right below it. Mixing too many fonts can easily be jarring on the eyes rather than keeping things uniform and clean. If you know that you want to use typography to visualize at least one data point in a design, consider that upfront when choosing your fonts.
I highly suggest you use a site like Lost Type to find a font that stands out, but that will work for your title and, potentially, headlines. That way, your typography will tie nicely with the overall design. If you do need to use typography, consider complimenting it with an image or illustration that furthers your message. The text standing alone becomes more of a reading assignment than anything else. But, when you add a custom illustration, it becomes one unified visualization.
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