There are many mistakes you can make when you first get into visualization. Yan Holtz and Conor Healy catalog the common pitfalls as part of their project From Data to Viz. While there are a lot, keep in mind that you’ll learn these as you go. But it’s good to at least be aware of them from the start.
Collection of data visualization pitfalls
Projects by Nathan Yau See All →
Mapping the Most Common Races
Select one or more races for a quick comparison. Counties are colored by the most prevalent.
Data Underload #11 – American Hockey
American interest in hockey went from practically zero to near Canadian status.