I’ll try my best to summarise the reference material, ideas, articles, tweets or blog posts that inspired aspects of this workshop, and provide links to other things I’ve read/seen that I thought were interesting/related (and make a note to myself to do this AS I prepare the workshop next time!). Here it goes:

The very super helpful magick vignette from Jeroen Ooms @opencpu and @rOpenSci that I don’t even know how many times I’ve viewed!
All of the giftastic gganimate examples shared by Danielle Navarro @djnavarro. I ended up using a different approach to plot the pixels for words but learned heaps from her examples.
The awesome examples Thomas Lin Pedersen @thomasp85 has provided for the gganimate package.
I didn’t end up covering how to plot the Google drawings in the workshop (we just used “some I had prepared earlier”), but still learned some cool stuff from code written by Antonio Sánchez Chinchón @aschinchon.
Lots of seeds of ideas from Maëlle Salmon’s @ma_salmon very cool blog - I love how she writes her posts and my students love them too!

We didn’t go beyond using k-means clustering with the Google Quick! Draw! ducks, but these talk notes from Ian Johnson @enjalot are amazing and link to other awesome pages/posts related to the Google Quick! Draw! dataset.

This is also very cool project about how Paris looks as seen through the lens of thousands of photographers.

Looking for something to try out yourself? Why not download the Computer drawings ZIP and explore whether people draw desktop computers or laptops!

Website and workshop materials developed by Anna Fergusson for the R-Ladies Auckland October 2018 Meetup.