#tidyverse — Public Fediverse posts

https://DSLC.io welcomes you to week 35 of #TidyTuesday! We're exploring World Castles, Fortresses and Palaces!

📂 https://tidytues.day/2026/2026-09-01
📰 https://thecastlemap.com/data/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Uppdaterade simuleringar av Elitettan i fotboll 2026. @[email protected] #ifkgbg #rstats #ggplot2 #tidyverse
As usual, thx to @[email protected] , this time for providing tools for my prediction models.

Det här kommer att bli hårt, h...

An exciting extension to the #ggplot2 universe 🍾

I love how Alex has tied the new features to best #dataviz practices, and he even added a coaching option.

I’m especially excited about the easy way to place the y-axis title at the top, plus even more shapes that are usable right out of the box 🤘

All examples taken from the pretty detailed page guide: https://lnkd.in/djsB4GU2

#dataviz #datavis #rstats #tidyverse #rstudio #posit

Curator: @afrikaniz3d
https://DSLC.io welcomes you to week 34 of #TidyTuesday! We're exploring Country Music Lyrics!

📁 https://tidytues.day/2026/2026-08-25
🗞️ https://www.youtube.com/watch?v=48ZxNFGJTo8

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

{purrr} has some lesser known functions that make handling of failing function calls easier: safely, quietly, possibly: https://purrr.tidyverse.org/reference/safely.html #rstats #tidyverse

Curator: [email protected]
https://DSLC.io welcomes you to week 33 of #TidyTuesday! We're exploring IELTS exam results!

📂 https://tidytues.day/2026/2026-08-18
📰 https://sojourningscholar.com/ielts-score-statistics/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

https://DSLC.io welcomes you to week 32 of #TidyTuesday! We're exploring the Palomar Spectroscopic Survey of Nearby Galaxies!

📂 https://tidytues.day/2026/2026-08-11
🗞️ https://arxiv.org/abs/astro-ph/9704108

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

[CLOSED] One factor that may contribute to the problem is #R not having a #ReleaseFile. When I run this command:
sudo apt update

I get this error notification:

E: The repository ‘https://cloud.r-project.org/bin/linux/ubuntu zena-cran40/ Release’ does not have a Release file.
N: Updating from such a repository can’t be done securely, and is therefore disabled by default.
N: See apt-secure(8) manpage for repository creation and user configuration details.

I have not been able to resolve that issue either. Can anyone help me establish a release file for R and get #tidyverse and other libraries installed? #LinuxMint #Linux #RStats 3/3

[CLOSED] I looked at additional-repositories.list in etc/apt/sources.list.d. It includes the following:

# deb https://cloud.r-project.org/bin/linux/ubuntu xia-cran40/
deb [arch=amd64] https://download.docker.com/linux/ubuntu jammy stable
deb https://cloud.r-project.org/bin/linux/ubuntu zena-cran40/
# deb https://cloud.r-project.org/bin/linux/ubuntu focal-cran40/

I added marutter-rrutter4_0-noble.list to the same directory. (#noble is the release code for the #Ubuntu version that my #Mint distro is based on.) That file reads as follows:

deb [signed-by=/etc/apt/keyrings/marutter-rrutter4_0-noble.gpg] https://ppa.launchpadcontent.net/marutter/rrutter4.0/ubuntu noble main

#LinuxMint #Linux #RStats #R #tidyverse 2/3

[CLOSED] I’m seeking guidance from people familiar with #LinuxMint and #RStats. After updating #R, I’m missing some of my libraries, including #tidyverse. When I try to install them, I got a non-zero exist status.

My #Mint version is 22.3 #Zena. I ran this command to install dependencies:
sudo apt install libcurl4-openssl-dev libssl-dev libxml2-dev

I also added the directory for R 4.6 to PATH. #Linux 1/3

Curator: @afrikaniz3d
https://DSLC.io welcomes you to week 31 of #TidyTuesday! We're exploring Basotho Wool!

📁 https://tidytues.day/2026/2026-08-04
📰 https://groundup.org.za/article/the-mountain-men-behind-lesothos-wool-wealth/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

Curator: @nrennie
https://DSLC.io welcomes you to week 30 of #TidyTuesday! We're exploring Ecotourism!

📁 https://tidytues.day/2026/2026-07-28
🗞️ https://vahdatjavad.github.io/ecotourism/articles/getting-started.html

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Do you need better performance than what the standard #tidyverse functions have? {collapse} might be worth a look: https://sebkrantz.github.io/collapse/ #rstats #optimization

https://DSLC.io welcomes you to week 29 of #TidyTuesday! We're exploring Near-Death Experiences (NDERF)!

📁 https://tidytues.day/2026/2026-07-21
📰 https://nderf.org/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

https://DSLC.io welcomes you to week 28 of #TidyTuesday! We're exploring Many penguins!

📁 https://tidytues.day/2026/2026-07-14
📰 http://dx.doi.org/10.1111/ele.13898

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Curator: @bensstats
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring UFC Athletes and Fight Data!

📁 https://tidytues.day/2026/2026-07-07
📰 https://github.com/benyamindsmith/fightr/

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Что в чёрной коробочке? Выясняем самостоятельно, не привлекая внимания коллег

Всем привет, меня зовут Миша, и я разрабатываю платформу Яндекс Еды. Первые компоненты были написаны почти 10 лет назад (когда Еда ещё была стартапом Foodfox), и у нас накопилось много кода, который просто хорошо работает, а иногда даже «работает — не трогай». Но в процессе развития и устоявшиеся части системы нужно трогать, про что мои коллеги уже писали — как мы повышали версию PHP , пилили монолит и снимали нагрузку с БД . Наконец настал черёд рассказать про процессинг заказов доставки еды из кафе и ресторанов (а также продуктов из магазинов и многого другого). За годы эволюционного развития он значительно разросся, что стало заметно затруднять дальнейшее развитие — например, изменения, связанные с выходом на новые рынки, — а также влиять на надёжность. Поэтому мы решили вынести процессинг заказа в отдельный специализированный сервис. Чтобы определить, что выносить, а что оставлять, нужно было составить исчерпывающий и актуальный список процессов, которые происходят с заказом. И здесь мы столкнулись с вызовом: это знание распределено по многим людям и документам, поскольку на протяжении долгого времени в процессинг заказов вносили изменения многие команды. И перед нами встал вопрос — как собрать нужную информацию о системе с заметной долей легаси быстро, да так, чтобы информация была актуальна?

https://habr.com/ru/companies/yandex/articles/921122/

#process_mining #анализ_данных #tidyverse #триз #рефакторинг #duckdb #архитектура_по #яндекс_еда #монолит

Local regression is a non-parametric method for fitting smooth curves to data by applying multiple localized regressions. It is useful for uncovering non-linear relationships when the data’s exact form is unknown. Proper use of local regression can reveal trends in noisy data, but poor implementation might lead to misleading results.

Image: https://en.wikipedia.org/wiki/Local_regression#/media/File:Loess_curve.svg

More details: http://eepurl.com/gH6myT

#database #package #bigdata #businessanalyst #tidyverse #datavisualization #rprogramming