New blog post about data art!
Have you ever wondered:
What is data-driven art?
Why do people make data art?
How do I get started making my own?
Then this blog post is for you! It includes an example using #TidyTuesday data - with code in both #Python and #RStats!
I've started collecting together some of my examples of data-driven art (with accompanying code) into a gallery
Link: https://nrennie.rbind.io/data-art/
(Blog post coming soon about what I think data art is and why it's useful, alongside a tutorial-style example!)
Just doing some iteration practice with the purrr package. Made in #ggplot2 with #rstats #rtistry #genartclub
A little bit of #DataArt on a Monday afternoon! Can you guess the data?
More generative art experiments (trying to create a sketch/calligraphy effect)
I recently had fun making a new cover image for Mastodon by making treemaps of colours used in Bob Ross paintings (columns are seasons and rows are episodes)!
Painting data from #TidyTuesday
Image processing with {imager}
Colours extracted using {eyedroppeR}
Pixel analysis in #RStats
Plotting with {treemapify}
During #Genuary2025, I created three different variations of a photograph - all done using just image manipulation in #RStats!
Pixelate and recolour an image
Detect colours and print them to a spreadsheet
Reorder each row of pixels based on colour intensity
Original image
(Bonus points if you know where the original photo was taken!)
Genuary 2025 Day 27: Make something interesting with no randomness or noise or trig.
Genuary 2025 Day 25: One line that may or may not intersect itself.
(Very much inspired by the pattern you make when trying to check if a pen works!)
Taking being an #RStats nerd to the next level... (AKA when generative art makes it out of the laptop and into the kitchen!
)