You can now simply declare your dependencies using `py_require()`, and Reticulate will handle the rest. This seamless experience is powered by uv, an extremely fast #Python package manager written in Rust.
Learn more: posit.co/blog/reticul...
#RStats
You can now simply declare your dependencies using `py_require()`, and Reticulate will handle the rest. This seamless experience is powered by uv, an extremely fast #Python package manager written in Rust.
Learn more: posit.co/blog/reticul...
#RStats
With Air, you'll never need to worry about styling your #rstats code ever again. All you need to do is save, and Air takes care of the rest.
www.tidyverse.org/blog/2025/02...
With Air, you'll never need to worry about styling your #rstats code ever again. All you need to do is save, and Air takes care of the rest.
www.tidyverse.org/blog/2025/02...
✅ A ggplot2 theming guide by Jack Kennedy
✅ A tutorial on typewriter-styled maps by Nicola Rennie
✅ A LinkedIn Learning course on advanced R charting by Rita Giordano
Read more: https://rfortherestofus.com/2025/02/whats-new-in-r-february-3-2025
Sign up: htt…
✅ A ggplot2 theming guide by Jack Kennedy
✅ A tutorial on typewriter-styled maps by Nicola Rennie
✅ A LinkedIn Learning course on advanced R charting by Rita Giordano
Read more: https://rfortherestofus.com/2025/02/whats-new-in-r-february-3-2025
Sign up: htt…
🔧 Install: `install.packages("tmap")`
📚 Vignettes: https://buff.ly/4aAYNbq
📖 Book Chapter: https://buff.ly/43TokaF
#maps #tmap #rspatial
🔧 Install: `install.packages("tmap")`
📚 Vignettes: https://buff.ly/4aAYNbq
📖 Book Chapter: https://buff.ly/43TokaF
#maps #tmap #rspatial
Read about his journey to become a part of the ggplot2 core team here:
Read about his journey to become a part of the ggplot2 core team here:
hadley.github.io/25-tidyverse...
#rstats
hadley.github.io/25-tidyverse...
#rstats
r-graph-gallery.com/color-palett...
r-graph-gallery.com/color-palett...
teunbrand.github.io/teunbrand_bl...
teunbrand.github.io/teunbrand_bl...
Inspired by how readr prints the column spec
pinpoints NA values, adds color, identifies 1-to-1 relationships, and organizes variables by type in footer, clickable links to see other summaries
Inspired by how readr prints the column spec
pinpoints NA values, adds color, identifies 1-to-1 relationships, and organizes variables by type in footer, clickable links to see other summaries
usethis.r-lib.org/news/index.h...
usethis.r-lib.org/news/index.h...
.
🔗: stevenponce.netlify.app/data_visuali...
.
#rstats | #r4ds | #dataviz | #ggplot2
.
🔗: stevenponce.netlify.app/data_visuali...
.
#rstats | #r4ds | #dataviz | #ggplot2
Since the #rstats clan seems to migrating in force, just thought I'd re-introduce this account.
It's run by @kellybodwin.bsky.social on behalf of the #rdatatable NSF grant project - read more here:
rdatatable-community.github.io/The-Raft/pos...
🧵 1/6
Since the #rstats clan seems to migrating in force, just thought I'd re-introduce this account.
It's run by @kellybodwin.bsky.social on behalf of the #rdatatable NSF grant project - read more here:
rdatatable-community.github.io/The-Raft/pos...
🧵 1/6
Just wrote a short tech note on my blog about my recent experience using Netlify Identity for this
www.emilyriederer.com/post/quarto-...
Just wrote a short tech note on my blog about my recent experience using Netlify Identity for this
www.emilyriederer.com/post/quarto-...
posit.co/blog/closere...
Andrew and I have teamed up with the kind folks at @posit.co who have some amazing prizes on offer, whether you're using #rstats, #python, #julia or #ojs or no coding at all!
posit.co/blog/closere...
Andrew and I have teamed up with the kind folks at @posit.co who have some amazing prizes on offer, whether you're using #rstats, #python, #julia or #ojs or no coding at all!
Has anyone got a good workflow for collaborating on a Word document produced via Rmd (via {officedown})
Caveats : only one R user
Multiple SMEs
No git / source control
Many rounds of redrafts / changes as new requirements evolve
Changes are marked up by SMEs in Word via track changes
Has anyone got a good workflow for collaborating on a Word document produced via Rmd (via {officedown})
Caveats : only one R user
Multiple SMEs
No git / source control
Many rounds of redrafts / changes as new requirements evolve
Changes are marked up by SMEs in Word via track changes