How do you modify a graph so that it’s just right for your audience? Surely a group of scientists will need something different from a group of policymakers. Some audiences adore data. Others don’t. Some audiences have plenty of time. Others don’t. In this blog post, you’ll learn about: the differences between default, traditional, and storytelling graphs; which techniques can help you tell a story with data (e.g., dark colors); and when to use each type of graph.
How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly and complicated. Those are all false.
Accessibility is woven into all my trainings, but since this is a topic I get asked about a lot, I decided to make a new talk that’s focused just on accessibility for dataviz.
Maddison Staszkiewicz is a Depict Data Studio student and evaluator. She was part of the 2020 Great Graphs: Excel How-To’s cohort and is sharing her experiences with us. She especially loved the community of the course which helped her to learn new techniques, perspectives, gain valuable feedback and much more.
Bar charts aren’t evil. But they’re overused. I talked about Designs to Start Using Instead at the DataScienceGO conference in April 2021. We talked about my three favorite techniques for exploratory data visualization– spark lines, data bars and heat tables– and then I gave them some different options for maps. Are you ready to escape the bar chart?