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A bright yellow background highlights bold text showing my favorite new-to-my artists this year: Big Thief, Low, Japanese Breakfast, Alvvays, and Courtney Marie Andrews. The hashtag at the bottom of the image reads #tuneR.

A heatmap showing calendar days through twelve months, with light yellow showing ‘light’ listening days shading to purple for the heavist days where I listened to the most music. I listened to a lot of music in Januar, July, October and November.

I dusted off the last.fm data visualizer that I started working on last year around this time. This year I built a couple of fun Spotify-wrapped-like visualizations; why should Spotify users have all the fun?

If you’re a last.fm user, you can try it, too! TuneR is a small Shiny app that you can provide your last.fm username and see your year in music, a comparison of this year to your all-time most-listened artists, and a fun heatmap of your listening activity.

An animated gif showing a set of growing bars measuring Destiny 2 weapon usage

I’ve had a really nice hobby R coding weekend, learning to use {gganimate} to make plots like this. I’ve been re-tooling all my old piles of fish scripts that I’ve used to gather my Destiny data from the game’s API. Now I have a useful pair of quarto notebooks that retrieve data using parallel processing and produce this kind of output. I’m super enthused by what I’ve learned!

Had a pretty good hobby coding weekend learning how to use purrr::pluck() to get specific nested fields from piles of json data rather than blowing out the whole series of nested lists.

I learned today that one of the magical things pandoc can do under the hood for Quarto is use a Powerpoint template to render slides. I can work in RStudio to make slides in my company’s style; this is amazing!

(Footnote: This assumes a template that uses at least some standard powerpoint slide notation, which my company’s official templates do … not quite do. But a little bit of revision of the slide master got me there!)

Got nginx running on my MacBook today, as part of building some working-with-APIs-infrastructure for a small tutorial I want to write on working with oauth in Shiny. Good step!

I’m officially on vacation, but there’s so much that I want to “bring back” to work with me from this week’s rstudio::conf. Looking forward to one more day with this community of folks doing and learning things.

Two windows from the RStudio profvis tool, showing the times of several procesess. The second window shows the same process being completed dramatically more quickly than the first.

I used the RStudio tool profvis this weekend to find speed improvement opportunities in Armorer. I suspected that I could rewrite a big operation that calculates the maximum of many columns across several thousand rows. Holy smokes: Using matrixStats::rowMaxs cuts processing time by an amazing amount!