"What is the point?" This is a question that comes up often in my workshops when we are looking at graphs and discussing how they can be improved. In this post, I discuss the importance of making your main takeaway clear and apply this idea to a specific example.

This graph is ok. It gets the job done. But it could be so much better. If you've taken the time to do a robust analysis, why not take the time to make your data visualizations reflect that? In this post I look at a before-and-after, discussing changes that can take a graph from good to great.

In this post, I discuss the challenge of the dual y-axis and my rework of a #MakeoverMonday challenge.