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.

Check out this video of my recent Stanford MBA guest-lecture, where I discuss the importance of being sparing and intentional in your use of color and putting your thoughts into words when communicating visually with data.

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