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55 results for “jonthegeek”
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Curator: @jonthegeek
https://DSLC.io welcomes you to week 17 of #TidyTuesday! We're exploring US Agricultural Tariffs!📁 https://tidytues.day/2026/2026-04-28
📰 https://ers.usda.gov/sites/default/files/_laserfiche/publications/102980/ERR-304.pdf?v=13480Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @jonthegeek
https://DSLC.io welcomes you to week 15 of #TidyTuesday! We're exploring Bird Sightings at Sea!📁 https://tidytues.day/2026/2026-04-14
🗞️ https://obis.org/dataset/29ea15ed-8f76-40ca-bd14-58c62e10b2efSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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For #Python users:
- It is easy to change the kernel (just a dropdown -and it will ask you to install ipykernel the first time)
- It provides the exactly same interface and functionalities as with RSutdio (see above), some of which are key in data science and I’ve been missing for a long time: exploring environment, datasets, plots…
- It is easy to select a python environment, even with conda environments!
- Works great with #JupyterNotebooks
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@jonthegeek @coolbutuseless @teunbrand
Here is an approach to do #2D #RLE applied to the processing of #ECG images: https://link.springer.com/chapter/10.1007/978-981-13-5802-9_86, and also there is a 3D RLE approach for volumetric medical image data: https://www.tandfonline.com/doi/abs/10.1080/13682199.2019.1565695
In my previous #Bioinformatics life, RLE was used, there is rle2() for the #Bio3D package which uses indices (http://thegrantlab.org/bio3d/reference/rle2.html).
Also, there is an improvement of RLE with a bit of Huffman encoding thrown in: https://arxiv.org/abs/2101.05329 -
👋 Hey Mastodon community!
Don't miss Jon Harmon's talk at R-Ladies Rome #event titled "Why I Hate Summer Time: Coordinating a Global Community of Learners"! 🤩
When: May 17, 2023, at 6:00 PM CET / 11:00 AM CDT
RSVP: 🔗 https://lnkd.in/dquVUFfn
@jonthegeekJoin us to learn more about his passion for helping others improve their R skills and expertise in R package development. #RStats #CommunityLearning #RLadiesRome
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#rstats #lavaan structural equation modeling -- a postdoc developer position at University of Amsterdam https://werkenbij.uva.nl/en/vacancies/researcher-in-methods-and-statistics-specializing-in-programming-and-structural-equation-modeling-netherlands-15033. I am familiar with the package although not with all of the internal class structures and stuff. I would be comfortable working on this after the two book clubs on @hadleywickham's Advanced R and R Packages through the @DSLC community led by @jonthegeek ... but you also need to know the freaking matrix calculus to follow Satorra's asymptotic theory.
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Curator: @nrennie
https://DSLC.io welcomes you to week 19 of #TidyTuesday! We're exploring Twinned Cities!📂 https://tidytues.day/2026/2026-05-12
📰 https://bothness.github.io/twin-cities/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @fosstodon.org/@nrennie
https://DSLC.io welcomes you to week 18 of #TidyTuesday! We're exploring Italian industrial production!📁 https://tidytues.day/2026/2026-05-05
🗞️ https://seriestoriche.istat.it/fileadmin/documenti/14_History_Industry.pdfSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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https://DSLC.io welcomes you to week 16 of #TidyTuesday! We're exploring Global Health Spending!
📁 https://tidytues.day/2026/2026-04-21
🗞️ https://data.one.org/analysis/out-of-pocket-health-burdenSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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@djnavarro @milesmcbain @yjunechoe yup! Thankfully I'm mostly employed as an #RStats package expert, but there's a fair amount of #JavaScript and #GHA mixed in. That's fine with me; those are definitely very repurpose-able skillsets!
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Hello #RStats ! I'm facilitating a new free @DSLC Advanced R adv-r.hadley.nz cohort soon! It's been 5+ years since I read this excellent book by @hadleywickham , so I'm giving it a re-read. Let's learn to embrace {{ tidy evaluation }}, purrr::reduce() repetition, and count S/R #OOP systems!
Join the https://DSLC.io Slack, then navigate to the #bookclub-advr channel!
BTW, I plan to cover {{ and #S7 in the club, even though they didn't make it into the book!
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#QuartoLive is live! https://github.com/r-wasm/quarto-live
You can also make gradable exercises with feedback! #PositConf2024 #RStats #PyData 🧵 14/17 -
#QuartoLive is live! https://github.com/r-wasm/quarto-live
You can also make gradable exercises with feedback! #PositConf2024 #RStats #PyData 🧵 14/17 -
#QuartoLive is live! https://github.com/r-wasm/quarto-live
You can also make gradable exercises with feedback! #PositConf2024 #RStats #PyData 🧵 14/17 -
#QuartoLive is live! https://github.com/r-wasm/quarto-live
You can also make gradable exercises with feedback! #PositConf2024 #RStats #PyData 🧵 14/17 -
#QuartoLive is live! https://github.com/r-wasm/quarto-live
You can also make gradable exercises with feedback! #PositConf2024 #RStats #PyData 🧵 14/17 -
The #QuartoLive extension lets you plug interactive (editable) #RStats code directly into your Quarto documents. And you can easily build exercises into your docs, too! #PositConf2024 #RStats #PyData 🧵 12/17
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The #QuartoLive extension lets you plug interactive (editable) #RStats code directly into your Quarto documents. And you can easily build exercises into your docs, too! #PositConf2024 #RStats #PyData 🧵 12/17
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The #QuartoLive extension lets you plug interactive (editable) #RStats code directly into your Quarto documents. And you can easily build exercises into your docs, too! #PositConf2024 #RStats #PyData 🧵 12/17
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The #QuartoLive extension lets you plug interactive (editable) #RStats code directly into your Quarto documents. And you can easily build exercises into your docs, too! #PositConf2024 #RStats #PyData 🧵 12/17
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The #QuartoLive extension lets you plug interactive (editable) #RStats code directly into your Quarto documents. And you can easily build exercises into your docs, too! #PositConf2024 #RStats #PyData 🧵 12/17
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https://DSLC.io welcomes you to week 14 of #TidyTuesday! We're exploring Repair Cafes Worldwide!
📁 https://tidytues.day/2026/2026-04-07
📰 https://insideclimatenews.org/news/11112025/todays-climate-repair-cafe-consumer-waste/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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https://DSLC.io welcomes you to week 13 of #TidyTuesday! We're exploring Coastal Ocean Temperature by Depth!
📁 https://tidytues.day/2026/2026-03-31
🗞️ https://data.novascotia.ca/stories/s/a25g-piwsSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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https://DSLC.io welcomes you to week 12 of #TidyTuesday! We're exploring One Million Digits of Pi!
📂 https://tidytues.day/2026/2026-03-24
🗞️ https://www.jpl.nasa.gov/edu/news/how-many-decimals-of-pi-do-we-really-need/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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TIL: before 1925, (some? British?) astronomers started the GMT day at noon (noon was 00:00:00), so "1924-12-30 23:00:00 GMT" would mean 11am on the morning of what we now call December 31. Be careful when working with historical datetime data, even if it's precisely specified!
As far as I can find, neither lubridate nor clock have a way to deal with this in #RStats. In theory there should be a "Greenwich Mean Astronomical Time" in #tzdb to specify this system, but I don't see it.
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#ShinyLive: See https://shinylive.io/r/examples
Also Joe Cheng's talk from #PositConf2023! https://youtu.be/j1M6YyU2ZX8?si=npxOJKxGfpqcfhi7
#PositConf2024 #RStats #PyData 🧵 11/17 -
#ShinyConf is a free, 100% virtual conference about all things
#RShiny & #PyShiny. I always learn something, often something that I didn't know that I didn't know!If you've done something interesting w/Shiny, please submit a #ShinyConf2025 proposal! More details: https://www.shinyconf.com?utm_source=social&utm_medium=mastodon&utm_campaign=shinyconf&utm_content=committee-post
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@kobriendublin For a more concrete example that I think will help illustrate the point, Greg Swinehart's talk about shiny UI improvements focused more on {bslib} + #RShiny, w/ brief mention of the related defaults in #PyShiny. He seemed embarrassed that 1 slide showed the Python version of something because it's not QUITE ready in R (but it will be very very very soon, he assured us). I feel like kast year it would've been all Py with a brief mention that maybe it'll be in bslib eventually.
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Time for the Innovating with #RShiny (and #PyShiny, I assume) track!
First: Wait, that’s Shiny? Building feature-full, user-friendly interactive data explorers with Shiny and friends - Kiegan Rice
#PositConf2024 #RStats #PyData 🧵 1/14
