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.
@defuneste for sure! I also feel like the syntax to accomplish many tasks is simpler.
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
@jimjamslam @observablehq @timelyportfolio would be down w/ any approach to preprocessing as I’m a fan of Arquero (but mostly DuckDB)! Still do a lot of grouped tables, so I’m kind of stuck there. 😕

@observablehq @timelyportfolio @jimjamslam FWIW, I found this repo, which is really interesting. It uses Inputs.table(), but prestyled html in the cell. Makes me think you could do some preprocessing in R and pass to Inputs.table for *some* custom HTML output that’s programmatic.

Repo: https://observablehq.com/@mauforonda/datos-geograficos-del-gobierno-boliviano

Datos geográficos del gobierno boliviano

dependencias descarga de datos configuración por sistemas estado mapa estilo share urls Este índice de datos es actualizado cada día desde febrero de 2022. El código que lo produce es abierto. Si tienes una consulta, conoces fuentes que no estén acá o quieres hablar sobre datos abiertos, mi correo es [email protected]

Observable
@observablehq @jimjamslam @timelyportfolio Ooooooo, I’m gonna take a look at this.
@observablehq @jimjamslam not left-field and I appreciate it cause it does help me answer my question in part. I would say I’m primarily interested in interactive tables, which Inputs.table() helps with. I could be wrong, but it seems to be missing features like grouping rows by a column, column formatting, and more dataviz options for numeric columns. It may be also already be there and not well documented, but just striking out a lot and seeing if anyone else has ideas.