iiinova — where your digital self keeps evolving

Art Steinmetz @apsteinmetz.bsky.social · 09/02/2026

See the #rstats Shiny app many are calling the best #bobsburgers Shiny app ever. Give it a spin! H/T @sponce1.bsky.social bobsburgersR package for inspiration! viztoy.shinyapps.io/bobs_burger/

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Art Steinmetz @apsteinmetz.bsky.social · 25/01/2026

Very excited to try this,https://www.jottr.org/2026/01/22/futurize-0.1.0/

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Art Steinmetz @apsteinmetz.bsky.social · 09/01/2026

New year update of my wfmu.playlistanalyzer.net. Wherein you will find minutes of diverting amusement! Now with: Spins= 3,686,922 Songs= 1,070,901 Artists= 526,464 Shows= 108,549 DJs= 474 Earliest= 1982-04-02 @dianekamikaze.bsky.social! Latest= 2026-01-05 Days= 10,261 @wfmu.bsky.social #WFMU

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Art Steinmetz @apsteinmetz.bsky.social · 14/09/2025

@amigabill.bsky.social Hi, Bill. I'm hoping your vast network might be able to help me to extract what's on this Ricoh 500mb MO drive cart. It was in my A2000 with a GVP SCSI controller. Powers up but I've been unsuccessful in recognizing the disk. I'd be happy to find a recovery service. THX!

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Art Steinmetz @apsteinmetz.bsky.social · 07/08/2025

Does anyone have an opinion on whether Claude is better at vibe coding in #Python than #Rstats? My assumption would be Python because of a larger training set but I can't speak with any authority on the subject.

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Art Steinmetz @apsteinmetz.bsky.social · 21/07/2025

Let's view the #NJ flooding on a map. Sooo many #Rstats #ggplot2 graphic elements in this plot and moving from mapping coordinate system to cartesian and back again. Crazy. Code here: gist.github.com/apsteinmetz/...

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Art Steinmetz @apsteinmetz.bsky.social · 21/07/2025

I continue to explore visualizing flooding with #rstats, #ggplot with stream gage data from the USGS. Here are the USGS stream gage data for the flooding in NJ on 7/14. You'll note that "Bound Brook in Middelsex" is the station downstream from Plainfield, where the worst flooding occured.

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Art Steinmetz @apsteinmetz.bsky.social · 14/07/2025

The USGS monitors rivers and streams in near-real time. The gage closest to #CampMystic on the #GuadalupeRiver "pinned the meter" around 5AM, July 4 and stopped reporting. Some perspective visualizations using #Rstats. Claude helped with the USGS API. Code here: gist.github.com/apsteinmetz/...

$plots of USGS stream gage separation vs. elevation, river height vs. time and map positions of gages. Camp Mystic is upstream from all USGS sites. The first downstream site is 6 miles below at Hunt. At nightfall July 3 the river height at Hunt was 7 feet and the flow was 8 feet per second. Hunt stopped reporting around 5 AM on July 4 when the river height was 38 feet and the flow was 120,000 cubic feet per second. It took 2 hours go from 8 feet to 38 feet at Hunt.\ Judging from the other sites, the wave would have hit the camp around 4 AM. The flood wave moved quickly downstream. The dam at Sattler was not breached."$

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Art Steinmetz @apsteinmetz.bsky.social · 03/06/2025

Project Gutenberg is a fantastic resource but I've been frustrated by the absence of an original publication date. The metadata on the site shows the date it was posted to PG. #tidytuesday was a great excuse to "fix" this. A few lines with the #rstats gutenbergr package and presto!

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Art Steinmetz @apsteinmetz.bsky.social · 20/02/2025

@eddelbuettel.com I just did a linux (mint) install, again, so I'll thank you, again, for the fantastic r2u #rstats repo and the very clear setup instructions on github!

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Art Steinmetz @apsteinmetz.bsky.social · 03/02/2025

Lake Erie is pretty frosty now. A couple #ggplot2 extensions illustrate the context. The first plot duplicates what's at the NOAA using gghighlight. The second is fun with ggridges! #rstats

plot showing ice cover on lake erie with current year and average highlighted.

plot showing ice cover on lake Erie for the each of the last 50 years in a ridgeline format.

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Art Steinmetz @apsteinmetz.bsky.social · 06/12/2024

Combining two of my favorite things. #rstats and oysters. My latest blog post is a project to predict New York Harbor water quality using data from Billionoysterproject.org and #tidymodels. outsiderdata.netlify.app/posts/2024-1...

outsiderdata.netlify.app

Predicting Water Quality in New York Harbor – Outsider Data Science

Using Tidymodels and data from the Billion Oyster Project

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Art Steinmetz @apsteinmetz.bsky.social · 11/03/2024

So many great #rstats database engines. Data.table, Arrow, duckDB and polars. There are #tidyverse wrappers for all of them, but should you use them? Some surprising answers here. outsiderdata.netlify.app/posts/2024-0...

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