The American Kennel Club just announced the 2018 rankings of dog breed popularity, collected from registration data in the USA.
Last year, I followed this post by Dominik Koch about creating bump charts in R using ggplot2 to show changes in rank over time, and applied it to dog breed popularity rankings from 2013-2017. The resulting chart is below, and the code is detailed in this entry.
With the new rankings out, here’s a quick update to last year’s post. I drew more dogs for use as custom image labels with ggimage, and this time they are full-size pngs with transparent backgrounds, available here.
The new dog drawings look like this. I assembled the little collage using Maëlle Salmon’s magick resources.
…and here’s the updated plot:
The code for the updated chart is in the gist at the end of this post. The plotting code is less fiddly and I was more careful with paths when working with the images.
Thanks for reading. Let me know if anything isn’t working and feel free to reuse the dog drawings (with attribution).