Avoiding Diagonal Text in Your Charts
May 29th, 2014 / Data Visualization
As I look back at past reports there are definitely some things I would re-do if I had the chance. In particular, avoiding diagonal text in charts.
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How to Objectively Measure Text Readability (and Lower Your Graph’s Reading Level)
Jun 12th, 2018 / Reports
If viewers can’t read your graph, why bother making it? Accessibility is at the top of my priority list. A lot of things go into a data visualization’s readability. In this post I’ll explain how to objectively measure text readability (and lower your graph’s reading level).
More »Accessibility Quick Wins: Lower the Numeracy Level
Dec 14th, 2021 / Data Visualization
There’s a misconception that accessibility takes all day, that’s it’s costly, or that it’s complicated. Those are all false. In this blog post, you’ll learn about lowering the numeracy level. Then, you’ll see a case study that combines several accessibility quick wins.
More »Accessibility Quick Wins: Lower the Reading Level
Dec 7th, 2021 / Data Visualization
How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly, or that it’s complicated. Those are all false. We need to lower the reading level. Not because our readers dumb, but because they’re busy. They need to be able to understand what you wrote the first time—not the second, third, or fourth read-through.
More »When Your Graph Is Too Smooshed to Read
May 29th, 2018 / Data Visualization, Presentations
You want to display a lot of historical data–great! But sometimes we have so many points in time that our graph’s labels get smooshy. In this post, I’ll show you a before/after data visualization makeover in which we selectively labeled a few key milestones in order to tell our story (and make the graph more legible).
More »Home Visiting Dataviz: Three Steps to Making a Good Graph Great
Apr 26th, 2018 / Dashboards
Whether you’re visiting a web site or a listening to a presentation, you’ve probably thought about data visualization as a helpful way to digest complex information. At its best, “data viz” communicates data simply and efficiently using a combination of graphs, graphics, and other forms of design. So what makes a good graph great?
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