A very quick pictogram 📊 for this week's #TidyTuesday data about repair cafes 🛠️ where I focused in on how easy it is to repair (old) bicycles 🚲

Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-04-07

#RStats #DataViz #ggplot2

RE: https://mas.to/@CRANberriesFeed/116373937906718292

Cool shiny module inspired by Positron's data explorer #rstats

After tomorrow, the Super Early Bird rate for posit::conf(2026) is gone!

Keynotes from Wes McKinney, Christine Zhang, Emily Riederer, Sara Altman & Simon Couch. Full-day workshops. The best community in data science.

Register before midnight on April 10: pos.it/conf

#positconf2026 #rstats #pydata #datascience

RE: https://mas.to/@CRANberriesFeed/116373935971339944

10/10 on the package name ::chef's kiss:: #rstats

Hold On Hope: publication lag times at cell biology journals

https://quantixed.org/2026/04/09/hold-on-hope-publication-lag-times-at-cell-biology-journals/

#publishing #dataviz #LagTimes #metrics #papers #plots #PubMed #Rstats

📦 My first #RStats package on CRAN:

{readelan}

A package dedicated to reading all files associated with ELAN: eaf, etf, ecv. Reads annotations, metadata, controlled vocabularies. Relevant for many in #linguistics

More info here:
https://borstell.github.io/misc/readelan/

RE: https://bayes.club/@modrak_m/116362631774641861

They're doing the Lord's work over there explaining how to do modeling to the masses (with #rstats examples)

#Bayesian modeling wisdom even #AI and #ML people should understand.

From the @DSLC ​chives:

 R for Data Science: Databases https://youtu.be/0AWywckm3W4 #RStats

 Mastering Shiny: User feedback https://youtu.be/2nopulRXjKg #RStats

 Advanced R: Big Picture https://youtu.be/FSm2_TJmhm0 #RStats

 R for Data Science: Spreadsheets https://youtu.be/CqlIxTHaFsA #RStats

 Advanced R: Function factories https://youtu.be/7GLyO3IntgE #RStats

Support the Data Science Learning Community at https://patreon.com/DSLC

If you enjoy the coalesce operator %||%, did you know that you can enforce it through

- Jarl https://jarl.etiennebacher.com/rules/coalesce
- {lintr} https://lintr.r-lib.org/reference/coalesce_linter.html

(For older R versions you could use the same operator from {rlang})

#RStats