Preparing to troll my team by visualizing time series data using a donut plot. This is going to be great.
We’ve been watching a lot of The Great Pottery Throwdown, and I’ve decided I want to get an apron for work. “Time to go sit at the data table. Better put on my apron. Could get messy.” Maybe get some for the whole team.
Had a great time hanging out, learning, and getting inspired by things at #csvconf the last couple of days. Go 🦙!
Calling R specifically and data folks in general: anybody using the M1 routinely with a broad analytics/data sci set of tools now? Things look pretty promising but I wonder if the day to day still relies on too much fiddling in/out of Rosetta to feel effective.
Work in progress update to my Destiny Stats Machine: a point-n-clicky app for armor profiling and loadout finding. 🎮📊
Likely not on the radar for most of my academic, stats and data sci friends: the Tableau conf is free and online this week. While the tool may not be in your wheelhouse, it’s almost certainly in your institutional/civic infrastructure. Good oppty to see the conversation here.
The values_fn jobber in pivot_wider is so great!
Today’s great discovery is stringr::str_extract with a nice regular expression.
On the occasion of @ftrain being interviewed for Uses This, I checked in on the Text Editor Race. While annual emacs mentions spiked ca. 2012, vim has maintained a relatively steady mentions number. Mentions of editors generally have declined, but here comes Visual Studio Code.