Collin Berke
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collinberke.bsky.social
Collin Berke
@collinberke.bsky.social
Media Research Analyst | #rstats | data enthusiast | news, sports, and podcast aficionado

Website: https://www.collinberke.com/
GitHub: https://github.com/collinberke
LinkedIn: https://www.linkedin.com/in/collinberke/
Nice, thanks for the share. I’ll have to check it out.

@ivelasq3.bsky.social also has a really good write up: ivelasq.rbind.io/blog/underst...

2022, time flies …
Understanding the native R pipe |> – %>% dreams
Or, why mtcars |> plot(hp, mpg) doesn’t work and what you can do about it.
ivelasq.rbind.io
November 10, 2025 at 11:30 PM
Hey @tylerclark12.bsky.social, I’m on the base |> train.

Reviewing old code with the %>% just reminds of a time getting started with R. Like the times spent with folks learning in the @dslc.io book clubs.
November 10, 2025 at 10:55 PM
Big fan of this! Thanks for the idea.
October 24, 2025 at 4:01 PM
+1 to this comment. Dive in!
October 21, 2025 at 4:38 PM
For @github.com, if you like working from the command line, I highly suggest checking out their CLI tool: cli.github.com
GitHub CLI
Take GitHub to the command line
cli.github.com
October 21, 2025 at 4:37 PM
In my view, the subject gets muddy quick because it's so feature rich.

Some of it fits a data science workflow, others are more for large enterprise level software development projects.

The no one really cares <---> pain and suffering scale from the talk allowed me to be more realistic using git
October 21, 2025 at 4:33 PM
If you're interested in gamifying your learning experience, I suggest: learngitbranching.js.org .

@csgillespie.bsky.social from @jumpingrivers.com had a great @posit.co::conf(2023) talk: www.youtube.com/watch?v=RwLx....
Learn Git Branching
An interactive Git visualization tool to educate and challenge!
learngitbranching.js.org
October 21, 2025 at 4:33 PM
✅ Checklist:
1. Is it visible at the right time?
2. Is it actionable?
3. Is it used?

2/2
October 20, 2025 at 4:55 PM
Oh nice, thanks for the heads up! I'll have to dig into this further.

My first initial thought when I posed the question was 'I might be overthinking `...`'. As I go deeper, I'm realizing there's more to learn.
October 17, 2025 at 6:01 PM
The tutorials have `.csv` files linked.
October 17, 2025 at 3:28 PM
If you're open to topics in sports, I highly suggest what @mattwaite.bsky.social has put together for his Sports Data Analysis and Visualization course @unlincoln.bsky.social: github.com/mattwaite/Sp... .

Both the NCAA football and volleyball data are interesting to work with.
GitHub - mattwaite/SportsDataTutorials: Interactive R tutorials for SPMC350 at the University of Nebraska-Lincoln's College of Journalism and Mass Communications
Interactive R tutorials for SPMC350 at the University of Nebraska-Lincoln's College of Journalism and Mass Communications - mattwaite/SportsDataTutorials
github.com
October 17, 2025 at 3:27 PM
Thanks for sharing! I’ll check it out.
October 17, 2025 at 2:27 AM
The overview of pointblank's validation functions was helpful: rstudio.github.io/pointblank/r....

A @posit.co posit::conf() talk on using pointblank with CI was also brought up. I'll be digging for that when I get a chance. If anyone has a link, let me know.

2/2
Package index
rstudio.github.io
October 16, 2025 at 8:41 PM
+1 for #6. I'm in this camp. Many benefits for rolling up projects and areas of work into an #RStats package.
October 16, 2025 at 6:18 PM
Oh nice! I’ll have to check these out.
October 16, 2025 at 1:07 PM