I just released a new version of the #RStats package {charlatan} version 0.6.1. https://cran.r-project.org/package=charlatan

You can use charlatan to create realistic fake data. You can create fake data for in class room exercises, as test material before you have real users, or as a talking example when you talk to stakeholders about data modeling.

I have worked on the package over the last years but I did not push a new version to CRAN. So what is new, and why the minor bump (from 0.5.1)?

I use targets package heavily every day, but the following article gave me new insights.
https://carpentries-incubator.github.io/targets-workshop/index.html

tarchetypes package is very useful!
#rstats

I wrote some notes about targets #rstats

https://blog.djnavarro.net/posts/2025-01-08_using-targets/

So {targets} is a great package, but sometimes it creates friction when working interactively. So today, I made a little helper function to load a selection of targets. It allows me to bind this to a shortcut key in VSCode that will load all the highlighted targets.

So far, it is going very well for when I am debugging a function and need to load a bunch of targets into memory. #rStats #workflow