TIL a quick way to count the number of files in a directory from the command line: `ls -1 | wc -l` Helpful 👨‍💻

TIL: oh-my-zsh has some pretty useful built-in aliases to quickly change directories while at the command line. Been a long-time user, so IDK how I missed these: github.com/ohmyzsh/ohmy...

TIL: `git add --patch` or `git add -p`. Very useful. Learning about it helped level up my #git game. More here: www.youtube.com/watch?v=blbz...

Had one of those fun moments getting an answer to 'I wonder if there's an #RStats package for that?' Calculating sunrise and sunset times? Yep, there's a package for that: `suntools` 📦🔗: github.com/adokter/sunt...

Spent some time learning more about @github.com Actions today. Thankful for r-lib's #RStats actions. It makes getting up and going way easier: github.com/r-lib/actions The use of caching for setting up R's dependencies is also 🤌.

Seeing this years @posit.co table contest winners was inspiring: posit.co/blog/2025-ta.... It's amazing to see the functionality others came up with. My favorite? Leo Ohyama's: github.com/leoohyama/po... . The ticker at the top was a really neat idea. #RStats #dataBS

That feeling of nostalgia when you look at some old #RStats code using magrittr's `%>%`. Taking a moment to pause and reflect on some good times.

This … This is is why I’m here. No notes.

Thank you so much, Jen! If all goes well, that submission will be the final #TidyTuesday for 2025! It is *so* helpful when people submit datasets! I've been able to implement features to catch errors in datasets, and I have more on the way. Maybe I'll even finally finish the easier to use website!

Today I read: How I build software quickly from @evanhahn.com: evanhahn.com/how-i-build-... Some great advice within. Three sections really landed for me: 1. embrace rough drafts 2. make small changes. 3. avoid wandering the code. Good read. I highly suggest others check it out.

I only need *5* more dataset curations (and to review those 5 plus the open PR) to be done curating #TidyTuesday for 2025! I can definitely do at least one myself, so I just need 4 of you to curate a dataset! Check out github.com/rfordatascie... for #RStats instructions.

We need to have a conversation about random seeds. Don't use 42. blog.genesmindsmachines.com/p/if-your-ra...

TIL: Set expiry dates on metrics. Recently came across this idea in two blog posts from @adrianhoward.com: 🔗 adrianhoward.com/posts/give-y... 🔗 adrianhoward.com/posts/three-... I also really like the three-question checklist for reviewing data products (e.g., metrics, dashboards) 👇 #dataBS 1/2

A follow up TIL to this: I always had an intuitive sense that #RStats `...` was about passing arguments to other functions. A net new concept for me was the *capturing* of the arguments using `list(...)`. @josiahparry.com's explainer was very helpful (04M45S): www.youtube.com/watch?v=oIMF...

Attended the @rconsortium.bsky.social's How to use pointblank to understand, validate, and document your data workshop led by @richmeister.bsky.social: r-consortium.org/webinars/how... Some past workshop materials are here: github.com/rich-iannone... #RStats #dataBS 1/2

TIL: The #RStats testthat package has a `skip()` function: testthat.r-lib.org/reference/sk... I used to comment out tests I didn't want to fix. I'd often forget about these. With skip() I get a nice reminder. Now I'll be sure to go back and fix broken tests I left for later ... yeah, later 😂

I'm often amazed at how much typing I've saved myself by using `dput(names())` when working with #RStats. I wrote about this back in 2024, and I was reminded about it's utility again today: www.collinberke.com/til/posts/20...

Hey #RStats folks, I need some help. I think I understand how to use dots. You know, the `...` in functions. Other times, I'm humbled when trying to use them in my own functions. Any good resources that helped make their use 'just click' for you? #dataBS

Interesting field work in the AI jungle. Here's an earlier small scale study I did with Claude nightingaledvs.com/what-does-ai...

TIL: Microsoft Teams can be configured to use ISO 8601 date formatting. I don't know why this makes me so excited. Perhaps it's the analyst in me who's had to wrestle with and wrangle various date formats in the past ... Obligatory @xkcd.com link: xkcd.com/1179/ #dataBS

Note to self: It's been awhile since I've needed to do back indexing to return a single row of data while using #RStats. So, here's a Base R and dplyr refresher 👇 #dataBS

Interesting framing of the use of LLMs for coding in a post I recently bumped into: codemanship.wordpress.com/2025/09/30/c... (via news.ycombinator.com/item?id=4542...). I'm certainly not AI-averse when performing coding tasks. But, 'Comprehension Debt' is something to be mindful of.

I just came across the `data.tree` #RStats package: 📦: cran.r-project.org/web/packages... 🧑‍💻: github.com/gluc/data.tree 📚: cran.r-project.org/web/packages... I was looking for a way to create simple tree diagrams of various outcomes and probabilities. Any #dataBS folks have other suggestions?

I got introduced to @randyau.com's 'Data Cleaning IS Analysis, Not Grunt Work' post during the #dataBS Conf this week: www.counting-stuff.com/data-cleanin... . I just finished--it was a great read. Here are some quotes and thoughts I'm walking away with 👇 1/9 #RStats

Just registered for the @rconsortium.bsky.social's 'How to use `pointblank` to understand, validate, and document your data' online workshop. I'm looking forward to learning more from @richmeister.bsky.social. Sign up here: r-consortium.org/webinars/how... #RStats #DataBS

TIL: #Rstats base::system.file() has a `mustWork` argument. It pushes an error if a file is not found. Useful.

Great resource! 👀 Thanks, @emilhvitfeldt.bsky.social!

I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN. It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package. Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats

I can confirm, data downloads for bigrquery are now blazingly fast 🔥. #RStats

I've been excitedly waiting for this feature to be released for the #rstats bigrquery package. Now it's finally here! 🏎️💨

I recently enjoyed using the {gganimate} #RStats package for #DataVis animations. So, I explored it further and drafted some notes. What resulted was some example animations using the palmer `penguins` dataset and some B1G QB passing data from {cfbfastR}. I was pleased with the outcome. Links 👇

TIL: #quarto allows you to easily customize the fields used within listing pages: quarto.org/docs/website... I've been wanting to simplify and make the listings pages on my personal site a little more lightweight: www.collinberke.com This will be the focus of my weekend 🧑‍💻 #RStats #dataBS

Finally got around to reading @chenxinli2.bsky.social's essay, Friends Don't Let Friends Make Bad Charts: github.com/cxli233/Frie... I've certainly made some of these #DataVis mistakes (especially #3, #9, and #13). I'm more aware, so now I can help my friends avoid making bad graphs. #RStats

While working on some interactive #DataViz, I was reminded of how great a resource the #RStats CRAN Task Views are: cran.r-project.org/web/views/ The Dynamic Visualizations and Interactive Graphics view helped me find what I was looking for: cran.r-project.org/web/views/Dy...

Just got done reading @lisacmuth.bsky.social post about improving the use of color within your #DataViz: lisacharlottemuth.com/2016/04/22/C.... Lots of great resources. The {wesanderson} #RStats package also seems fun: github.com/karthik/wesa...

Hello #dataBS (& especially #TidyTuesday) fam! I'm trying to organize a thing to help me keep TidyTuesday running smoothly, but first I need to get a bit of a runway. Every week I curate a TT dataset, and it's wearing me down. Please see github.com/rfordatascie... for some ways you can help! #RStats

Just got done reading Git Stash for Newbies by @meghansharris.bsky.social: thetidytrekker.com/post/git-sta... It's a really great summary for #RStats users on how to use the `git stash` command. The 'Rundown of git stash commands' is also useful. I wasn't aware of `git stash show`. Check it out!

I'm a command line first type of person. But the older I get, the more I continue to realize a web browser is a pretty great file explorer. Paired with a chrome extension like Vimium, it just feels like a superpower: vimium.github.io

Excited to share my newest quarto revealjs plugin: imagemover Easily reposition and resize images directly in your quarto revealjs slides for a much smoother slidecrafting experience github.com/EmilHvitfeld... #quarto

I'm often amazed at the versatility of #ggplot2 for #DataViz. The #RStats {gganimate} package just expands this even more. This post from @mickael.canouil.fr blew me away 🤯: mickael.canouil.fr/posts/2020-0...

Interesting new feature released from #BigQuery, chained function calls: cloud.google.com/bigquery/doc... Seems like a nice syntax addition worth exploring.

I now also have a (work in progress) list of #DataViz specific resources as well! Link: nrennie.rbind.io/data-viz-res... You can find links to tools, papers, books, blogs, and websites that are related to data visualisation. I'll be adding more resources soon 📊 #RStats #Python

Bumped into this useful read today: www.al3rez.com/todo-txt-jou... (via news.ycombinator.com/item?id=4486...). I'm of this ilk. I've tried many productivity tools. For me, nothing beats a single file to-do list. This article had some additional tips: jeffhuang.com/productivity... 1/2

Here's my #TidyTuesday contribution for 2025-08-05. 📈 Plot: #ggplot2 🔄 Animation: {gganimate} 🔤 Font coloring: {ggtext} 🔗 Code and data links 👇 Thought about exploring imputation, but opted to forward fill values using the #tidyverse instead. #RStats #DataViz #r4ds 1/3

Lesson learned: if git is already tracking changes to a file you won't be able to ignore it in your `.gitignore` file. You can use `git rm --cached` to remove the file from the index. I should have read the docs earlier: git-scm.com/docs/gitigno... 1/3

I don't regularly do geospatial analysis, but when I do, #rstats' #ggplot2 and a few other packages help me get something together quickly. Here's some packages and a chapter I've found helpful: 📦 {sf}: r-spatial.github.io/sf/ 📦 {rnaturalearth}: ropensci.github.io/rnaturalearth/ 1/2

"But a perfect doc is written such that the reader is never surprised ... They should finish your doc and think 'well this was entirely straightforward, why did we even need to have this meeting?'" Interesting read about design documents from Grant Slaton: 🔗 grantslatton.com/how-to-desig... 1/3

"Simplicity is the ultimate sophistication" -- Leonardo da Vinci I was recently introduced to Rich Hickey's talk Simple Made Easy (www.youtube.com/watch?v=SxdO...). Although only semi-related to the work I do, I decided to review and write up some notes: 🔗: www.collinberke.com/til/posts/20...

Here's my contribution to this week's #TidyTuesday data: Competing with sleep: The NETFLIX shows driving reach and engagement 📈Plot: #ggplot2 🏷️Labels: {ggrepel} ⚖️Scale text: {scales} 🔤Fonts: {sysfonts}, {showtext}, and {fontawesome} 🔗Code and data links 👇 #RStats #DataViz #tidyverse #r4ds 1/4

Interesting read about NA handling in #rstats (via rweekly.org/2025-W31.html): www.biobits.be/biofunctor/2... The overview of the {stats} package's various NA utility functions was informative: `na.pass`, `na.omit`, `na.exlude`, `na.contagious`, and `na.fail`. 1/2