mrworthington

150 Followers
225 Following
39 Posts

Husband, parent | Policy + Data Science | @spurs & SATX native | Data Nerd @HEB | Used to flip @Whataburger | #rstats + #txlege 🤓

web: mrworthington.com

LocationAustin | Del Valle
So, @observablehq Framework is 100% the best way to get performant (and gorgeous) data apps into prod, leveraging any analytics or data science stacks or pipelines you're already familiar with/using. Period.
https://vis.social/@observablehq/112989780607984004
Observable (@[email protected])

Attached: 1 image Deliver faster and more expressive data apps through static site generators. Register now and tune in live tomorrow at 10AM PT for our webinar: https://streamyard.com/watch/DvVwaeUTqgJG

vis.social
Like, pivoting a table in the browser and serving the output out in a nicely formatted table, *without a server*, is just so fantastically efficient and clean.
Maaaaaannn… the combo of DuckDB, Arquero, Observable Plot, and Quarto Dashboards is ridiculously good for so many. For all my #rstats peeps, I still use R in these workflows, but almost entirely for the pre-processing and data engineering side of things.

First go w/ Docker in GH Actions today + I’m sold! For anyone interested, here’s the repo I created to learn how to do it! LT goal is using GH Actions, R, + Docker to build pipelines that feed parquet files to DuckDB in #quarto dashboards w/ @observablehq data viz.

#rstats #dataviz #quarto

https://github.com/mrworthington/irs_migration_data

GitHub - mrworthington/irs_migration_data: This is a repo that downloads and organizes US migration data for consumption into a Quarto Dashboard

This is a repo that downloads and organizes US migration data for consumption into a Quarto Dashboard - mrworthington/irs_migration_data

GitHub
On a related note, I’m wondering how folks make nice tables in @observablehq with similar quality to reactable or gt in #rstats? I know of tan stack table, but wondering if there’s anything similar to how Plot offers a lot of JS equivalent functionality to what ggplot2 does in #rstats?
Do any #rstats observable nerds know if there’s a ggrepel equivalent for @observablehq’s Plot library?

Been playing around w/ @observablehq for some spatial viz. I can’t quite figure out how to pass a bounding box to the domain argument of a projection. Goal is to select a county and have the county fill the entire viewport of the chart. Anyone know how to pass a bounding box into the domain argument?

#rstats #quartopub #ObservablePlot

https://observablehq.com/d/2ef130db5d80822b

Plot County Map with Filter

Observable

The 🤓 in me has always wished I could work with some fellow #rstats friends I’ve made through social media. I’ve met folks at conferences and grabbed drinks when they visit Austin, but have never actually worked with anyone.

That all ended this week, when @tonyelhabr joined my team at work and I couldn’t be more thrilled about having a co-conspirator in everything data!

Want to give a shoutout to @tanya_shapiro and @hrbrmstr for sharing so much about Observable JS in relation to #quartopub + #rstats.

Finally dove into figuring things out at that intersection and feel slightly obsessed. 🤓

Absolutely devastating news. I would not have accomplished what I have accomplished in the last decade without Yihui's work on #knitr. If you've ever encountered a website, report, or book built with #RStats in recent memory, you have Yihui to thank.

https://yihui.org/en/2024/01/bye-rstudio/

Until he gets a new position, he's looking for sponsorship: https://github.com/sponsors/yihui

Bye, RStudio/Posit! - Yihui Xie | 谢益辉

Who is down? Me. After more than 10 years at RStudio/Posit, the time has come for me to explore other opportunities. A little over two weeks ago, I was told that I was laid off and my last day would …