It's always very interesting as a writer to look back at a year's of posts and find out which ones were most popular with my readers.
Here are the top posts on Junk Charts from 2020:
This post about a New York Times scatter plot dates from February, a time when many Americans were debating whether Covid-19 was just the flu.
This post about a ArsTechnica chart on the effects of Covid-19 by age is an example of designing the visual to reflect the structure of the data.
This post shows a 3D pie chart which is worse than a 2D pie chart.
This post discusses some complicated graphics designed to illustrate complicated datasets on Covid-19 symptoms.
This post is another warning to think twice before you use log scales.
This post turns an "objective" data visualization into a piece of visual story-telling.
This post introduces my favorite U.S. presidential election graphic, designed by the FiveThirtyEight team.
Here is a list of posts that deserve more attention:
An example of bringing readers as close to the insights as possible
An example of designing data visualization to reflect the structure of multivariate data
An example of simple and thoughtful graphics
Read this before you make a dual-axis chart
Read this before you make a pie chart
Looking forward to bring you more content in 2021!
Happy new year.