As part of our #rstats validation, we scan the dependencies for all CRAN packages. Surprisingly, the median number is only 3 (the maximum is 49).

I thought I was a convert to #ai, when it suggested it could fix an issue in #rstats {highlight}. Of course, it's just made-up code.

But I did admire its confidence.

I am giving two #rstats / #python talks tomorrow at the Department for Energy Security & Net Zero. One on using #git, the other on data, with a special mention of @motherduck.com and #duckdb

Putting the final touches to my talk on how to manage risk when using #rstats packages @nhsrcommunity.bsky.social