Charts—like bar graphs and pie charts—are a type of data visualization, defined as “the visual presentation of numbers” (UK Government Analysis Function). Good data visualizations let you present complex info simply and highlight features in your data.
Here are 4 (plus 1) ways to make your charts clearer and more accessible. Start by picking the right chart type. Then:
Make the title the takeaway message
Directly label the data points
Consider contrast and colors and use white space
Add alt text
And make sure each chart can stand on its own.
Read more about how to make clearer charts and practice by reviewing some charts inspired by real-world examples.
Description of image below: Bar chart titled "The workshop was effective". Y-axis is percentage of learners who said they had a good understanding of the topic. For 6 topics (described on x-axis), there is a bar for before and after. Each bar is labeled with its percentage value.
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Other great stuff from the web to help you make awesome data visualizations:
5 easy ways to make your data visualization more accessible (Cole Nussbaumer Knaflic, Storytelling with Data): The article that inspired my post.
Data visualisation e-learning modules (UK Government Analysis Function): Free and clear modules on dataviz.
Data visualization checklist (Stephanie Evergreen): An excellent and thorough checklist to help you create your dataviz (registration required to download). The site is full of great resources and I enjoy her newsletter too!
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(I don't add images to posts on Buy Me a Coffee because it doesn't let me add alt text. The newsletter is better!)