#Day25 | Uncertainties – Space | #30DayChartChallenge | Near-Earth Asteroid Orbit Uncertainties. Built with #RStats using #ggplot2 and #ggrepel.
Turned 229 music mentoring session notes into structured wellbeing insights for a youth charity. The honest finding? Competence is strong. Relatedness lags. Trajectories are flat — and that's worth reporting.
.
🔗: https://tinyurl.com/3udemyee
.
#rstats | #DataForGood | #NoiseSolution | #DataChangeMakers

Visualisierung von Daten der Kulturstatistik
Entwicklung der Sendezeit von Musik- und Wortsendungen der Öffentlich-rechtlichen Rundfunkanstalten in Deutschland.
#rstats #datavis #opendata

"… bis Anfang 2027 zusammengenommen mindestens 16 Radioprogramme einsparen. Künftig soll jede ARD-Anstalt nämlich bloß noch je vier Wellen betreiben dürfen, dazu pro sechs Millionen Einwohnern im Sendegebiet eine weitere."
https://www.sueddeutsche.de/medien/ard-radio-reform-streichung-von-programmen-li.3274437

Daten
https://www-genesis.destatis.de/datenbank/online/statistic/21611/table/21611-0020
Code
https://github.com/wahlatlas/api/tree/main/kulturstatistik

RE: https://fosstodon.org/@tylermorganwall/116454548093886803

I implemented a fork of {targets} which provides the necessary changes to support {mori} shared memory regions! Check out the discussion thread below to learn more about the implementation:

https://github.com/ropensci/targets/discussions/1584

And try out the primary fork here:
https://github.com/tylermorganwall/targets/tree/marshal-cache

#RStats

April 2026 update to the #rstats LLM tools guide 🤖 13 more packages including a novel AI assistant for RStudio, lightweight interfaces, wrappers, a complete AI sdk for R, integration with Goose, and much more *available in English and Spanish luisdva.github.io/llmsr-book/

Large Language Model tools for...
Large Language Model tools for R

R learning for applied statistics by Chenxin Li: https://github.com/cxli233/Online_R_learning A self paced course structured in R markdown documents, that starts from the very basic. #rstats #course #learning
GitHub - cxli233/Online_R_learning: Online R learning for applied statistics

Online R learning for applied statistics . Contribute to cxli233/Online_R_learning development by creating an account on GitHub.

GitHub
WordleR, the #Rstats-powered #Wordle Helper, was "magnificent" today!
Wordle 1,771 2/6
🟨🟨⬛⬛🟨
🟩🟩🟩🟩🟩
http://bit.ly/WordleR
WORDLER: The RStats-powered WORDLE Helper

[phylotastic] deeptime 2.3.1.9000

Extends the functionality of other plotting packages (notably 'ggplot2') to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.

#rstats

deeptime (rebuild) · r-universe/phylotastic@6db6903

Source universe for: phylotastic. Contribute to r-universe/phylotastic development by creating an account on GitHub.

GitHub

#RStats Possibly solved with getExportedValue:

```
if (utils::packageVersion("ggplot2") >= "4.0.0") {
elem_geom = getExportedValue(ns = "ggplot2", name = "element_geom")
} else {
elem_geom <- NULL
}
foo <- ggplot2::theme(…., geom = elem_geom, …)
```

This seems reasonable to me and passes check on the versions I've tried so far. Can't yet promise CRAN will approve…