Most data visualizations don't stand alone—content often demands several data sets to tell the full story. When using multiple charts and graphs, it's critical to maintain consistency in things like graph size, scales, and axes. Amy Balliett explains why this is important, and what to look for when pairing charts and graphs.
- [Instructor] It's unlikely that you'll be visualizing…single sets of data.…Most likely you'll be placing the data…into the context of a design like an infographic.…In this example you'll see a number of data visualizations…combined into a single design.…When viewed one at a time, each visualization seems fine.…But when viewed side by side, things start to get confusing.…For example, isn't it funny that the 44.6% bar…is actually shorter than the 42% bar…in these two charts stacked one on top of the other.…
While subtle, this can quickly get confusing.…As designers work to add visual appeal…to fully composed designs like infographics…they sometimes make a mistake of switching up scales.…This is exemplified further…in the center stacked bar graph,…which provides a good central visual hook,…but requires the viewer to untangle its meaning…when compared to the the simplicity…of the other charts and graphs.…Of course, scales aren't always just based on…how you use the x or y-axis.…
They also should be considered with the size…
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