Yesterday I gave a virtual lecture on data visualization at GMU. Here I’m posting the slides I used for that talk and including my discussion notes for the portion of the talk where I discussed guidelines for data visualization.
At the beginning of the talk I spoke a bit about data visualization guidelines. I framed this part of my talk around Jon Schwabish’s five guidelines from his new book Better Data Visualizations see (on Amazon) and here for a blog summary.
I then went over some charts I’ve used recently in talks I’ve given and discussed how I used (or didn’t use) the guidelines in that chart.
Over the course of four years as President, Donald Trump made more than 30,000 false or misleading claims, according to the Washington Post Fact Checker. It should be no surprise, then, that some of these took the form of data visualizations. Here are the top ten most misleading charts, graphs, maps, and tables from the Trump Administration over the past four years.
We are not born knowing instinctively how to read a bar chart or line chart or pie chart. Most of us learn those basic chart types in grade school. But there is a vast array of graphic types available that can effectively communicate your work to your audience.
To get you started, here are five graphs that perhaps you’ve never used before but that you should consider. They either do a better job showing certain types of data or they are more engaging and interesting than basic chart types.