Do you like charts? Oh yes you do. I've just published hundreds of them, as I do every year. www.nathanielbullard.com/presentations
And by the way, training your monster on data produced in part by my own hands, without attribution or compensation.
To the others: I apologize to the world at large for my inadvertent, naive if minor role in enabling this assault.
As an #rstats user, I am proud of my #python brothers and sisters for standing up for their community. It's a shame they won't have these resources, but community is and always has been what makes a language great. Today the python world stood up for theirs
pyfound.blogspot.com/2025/10/NSF-...
Excited to announce that I'll be presenting on our #surveydown project at posit::conf(2025)!
It'll be in the Wed afternoon session on #Quarto (surveydown lets you use Quarto to build surveys)
More on surveydown at surveydown.org
We’re excited to announce that the session catalog for posit::conf(2025) has launched!
View 100+ talks, sort by day and type, and add favorites to your schedule: reg.rainfocus.com/flow/posit/p...
Our Early Bird discount is still available. Get your ticket today!
#RStats #Python #PositConf2025
REMINDER!!! Early Bird Registration for useR! 2025 is open until April 30th!
Join this gathering of leaders in industry, academia, and the government to network while you increase your expertise in #R.
user2025.r-project.org/register
#useR2025 #RStats #coding #statistics #coding #data
Colour pallets work best with a relatively flat distribution, so consider transforming the data. In this case, try a log transform to spread the data across the visual palette.
I've been working on a history of the tidyverse for an upcoming special issue of the Australia/New Zealand Journal of Statistics celebrating 25 years of R. I'd love to get your feedback! What have I missed?
hadley.github.io/25-tidyverse...
#rstats
This is why science exists!
Still being able to find and access data from a project you worked on over 2 years ago -- Amazing.
Being able to recreate all clean data files from the raw files without fail -- Priceless.
Thank you organized file processes, thorough documentation, and reproducible #rstats scripts. 🙌
