Looks great - though the dark green on light grey used for the roxygen2-style comments is really hard to read, which is a shame as that stuff is really vital to plumber2!

Aha! Seemed to be an issue using "cairo" graphics devices - switching to {ragg} has sorted it

Thanks Allison! 😀

Honestly, I'd never used JS / Observable before, so I just worked through the docs at observablehq.com/framework/ til I got something that looked half decent, with a lot of googling! @allisonhorst.bsky.social also has a nice getting started video series: www.youtube.com/watch?v=N2qi...

This was a wonderful thread to realise GIFs don't work on Bluesky 🤦 the thread looks a bit more impressive when the images move around!

I'm enjoying #observableframework for lots of reasons - I can still use #rstats to do the data loading, and create dashboards that would normally need a #shiny server but are instead totally serverless! It is also lightning quick to react to user inputs ⚡

Finally (for now!) number three is 2024/46 (iso codes). This was a quick one - just uses #ObservablePlot tree mark to create a flowchart of the three-letter iso codes. I think I'm now one week behind, so will hopefully turn my attention to 2024/47 (Bob's Burgers!) next!

Number two is 2024/45 (democracy & dictatorship) - change the slider to see countries adopt (or abandon) democracy. This required using #leaflet in JavaScript, which I'd never done before (although I have experience with the #rstats wrapper). Also a lot of nested data/JSONs to create & filter.

The first dashboard was 2024/44 (monster movies). Using #ObservablePlot and #arquero JS to filter data on the fly and compare data for different genres of monster movie. I've played around with both in #quarto before, so this was familiar territory.

Open to contributions if anyone's keen. I'd like to implement nicer shadows or some way to make the markers pop off the tilemaps better, but can't quite crack something that looks good.