SΓ© que el tidyverse y ggolot son dos motivos por los que hay mucha gente usa R.

En Julia existe Tidier.jl y es magnΓ­fico:

https://tidierorg.github.io/Tidier.jl/v1.6.1/

Une la sencillez del tidyverse con la rapidez y flexibilidad de Julia. Son una decena de paquetes que permiten replicar la experiencia de R (pero mejor πŸ˜‰).

#julialang #tidyverse #tidierjl

Tidier.jl

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We're iterating on mori! Version 0.2.1 is now on CRAN - do try it out and let us know what you'd like to see.

mori lets multiple R processes on the same machine share the same physical memory pages with zero copies.
Built on OS-level shared memory and R's ALTREP framework.

New in 0.2.1:

β€’ `prune_shared()` cleans up orphaned regions left by killed processes
β€’ More precise and informative errors

https://github.com/shikokuchuo/mori

#Rstats #Tidyverse

GitHub - shikokuchuo/mori: Shared Memory for R Objects

Shared Memory for R Objects. Contribute to shikokuchuo/mori development by creating an account on GitHub.

GitHub

This week we released the #maps module in #ggplot2 uncharted β€” and we cover a loooooot of maps in the 4 lessons and 19 exercises!

... and this collection doesn't even feature each πŸ‘€

As usual, the first lesson is available for everyone πŸ€™
www.ggplot2-uncharted.com/module5/spat...

#rstats #tidyverse

Es imposible renderizar emojis a color en #Matplotlib πŸ€”
En #Rstats puedes expresar las emociones con emojis

Thomas Lin Pedersen ragg #ggplot2 #tidyverse
#psicologia #UCR #python @nobodyinperson

Curator: @fosstodon.org/@nrennie
https://DSLC.io welcomes you to week 22 of #TidyTuesday! We're exploring European Parenting Leave Policies!

πŸ“ https://tidytues.day/2026/2026-06-02
πŸ—žοΈ https://eplp-dataset.org/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

πŸš€ mirai 2.7.1 is out!

async/parallel/distributed computing for R, minimalist as ever.

Now bundles its agent skill so `btw` and friends pick it up automatically. Lower overhead for sync daemons, flexible HTTP headers in `http_config()` to support more platforms, and some very nice bug fixes.

https://github.com/r-lib/mirai

#RStats #Tidyverse

GitHub - r-lib/mirai: Minimalist Async Evaluation Framework for R

Minimalist Async Evaluation Framework for R. Contribute to r-lib/mirai development by creating an account on GitHub.

GitHub
I just released nanonext 1.9.1 - which strips out old dispatcher code paths to make mirai >=2.7.0 even faster! If you're using nanonext with mirai, please make sure you're on at least mirai 2.7.0 before upgrading. #Rstats #Tidyverse