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Why {tidyr} amd {dplyr} are in danger? Aren't they heavily supported by #Tidyverse folks?

https://rstats.me/@repositories_news/115731299595209578

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/115723905048879293

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

https://DSLC.io welcomes you to week 50 of #TidyTuesday! We're exploring Roundabouts across the world!

📂 https://tidytues.day/2025/2025-12-16
📰 https://www.kittelson.com/ideas/how-many-roundabouts-are-in-the-united-states/

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

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

TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results!
TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club!

How to Participate
Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data.
Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data.
Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language.
Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.

Hexagonal illustration of a roundabout with three cars circling around a central island. The circular island features four green trees or bushes arranged in a clover-like pattern. The cars include an orange car, a red car, and a yellow car. Gray roads with white dashed lane markings connect to the roundabout from multiple directions, surrounded by green grass areas. The word 'roundabouts' appears in yellow text on the road.

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/115684249406613223

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

Curator: @andrew
https://DSLC.io welcomes you to week 49 of #TidyTuesday! We're exploring Cars in Qatar!

📁 https://tidytues.day/2025/2025-12-09
🗞️ https://musgrave.substack.com/p/introducing-the-qatar-cars-dataset

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

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

A scatterplot showing the number of seconds to accelerate from 0 to 100 km/h on the x-axis (ranging from 0 to 15 seconds) and the logged price of cars in the y-axis (ranging from $10,000 to $10,000,000 USD). The points are colored by engine type (electric, hybrid, and petrol). The plot includes an annotation pointing out the $2.2 million Lotus Evija, which is an electric hypercar with an acceleration time of about a second, and another annotation highlighting the fact that electric cars tend to accelerate quickly.

[Перевод] Почему Python — не лучший язык для data science. Часть 2 — Python против R

Команда Python for Devs подготовила перевод статьи о том, почему Python — несмотря на свою популярность — не всегда идеален для Data Science. Автор показывает, как отсутствие нестандартной оценки выражений усложняет анализ данных, и сравнивает Python с R, где такие задачи решаются куда элегантнее.

https://habr.com/ru/articles/971372/

#python #datascience #tidyverse #pandas #векторизация #polars

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

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/115644614983975019

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

https://DSLC.io welcomes you to week 48 of #TidyTuesday! We're exploring Can an exploding snowman predict the summer season?!

📂 https://tidytues.day/2025/2025-12-02
🗞️ https://www.meteoswiss.admin.ch/weather/weather-and-climate-from-a-to-z/boeoegg-prediction.html

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

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

A dot plot of the average summer temperature in Zurich versus the burn duration of the Böög in minutes, with a line of best fit and record summers annotated. The plot shows a slight trend up and to the right, but 2003 had the highest temperature at almost 22 degrees, but one of the lowest burn times of around 6 minutes. Likewise, the longest burn time of 60 minutes corresponds to one of the lowest average summer temperatures at about 17 degrees.

[Перевод] Почему Python — не лучший язык для data science. Часть 1 — опыт разработчика и исследователя

Команда Python for Devs подготовила перевод статьи Клауса Вилке о том, почему Python, несмотря на статус языка №1 в data science, вовсе не идеален для анализа данных. Автор показывает на реальных примерах из лабораторной практики, что многие операции в Python оказываются куда более громоздкими, чем в R, — и это не вина программистов, а архитектурные особенности инструментов.

https://habr.com/ru/articles/971046/

#data_science #python #анализ_данных #pandas #tidyverse #производительность

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/115604969341677289

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

https://DSLC.io welcomes you to week 47 of #TidyTuesday! We're exploring Statistical Performance Indicators!

📂 https://tidytues.day/2025/2025-11-25
📰 https://worldbank.github.io/SPI/measuring-the-statistical-performance-of-countries-an-overview-of-the-statistical-performance-indicators-and-index.html#spi-overall-scores

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

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

A choropleth world map showing the quintile that each country was in for their statistical performance indicator in 2019. Regions including Europe, North America, and Australasia tend to have higher performance compared to Africa, parts of Asia, and parts of South America which are in lower quintiles.

I'm honoured and delighted to be delivering the keynote for Japan.R 2025 in Tokyo on Dec 6.

I'll be sharing some new ideas on creativity and community in open source software. There will be live demonstrations of cutting-edge applications such as ggbot2, a real time, voice-powered ggplot maker!

I'll also cover OpenTelemetry and mirai (modern async framework for R) - Posit-wide initiatives to bring the very latest technologies to the entire ecosystem.

#Rstats #Tidyverse
https://japanr.connpass.com/event/374714/

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/115565324467908050

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

https://DSLC.io welcomes you to week 46 of #TidyTuesday! We're exploring The Complete Sherlock Holmes!

📂 https://tidytues.day/2025/2025-11-18
📰 https://sherlock-holm.es/ascii/

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

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

Hex sticker for the sherlock R package created by Emil Hvitfeldt. The image depicts a silhouette of Sherlock Holmes with his typical deerstalker hat and calabash pipe. The word sherlock appears in blue over the silhouette, and the background is a pale green hexagon with a gray-green border.

Everyone can now view my posit::conf 2025 talk "purrrfectly parallel, purrrfectly distributed"!

{purrr} now lets you access the magic of {mirai} directly, as the modern way to make things faster through parallel computation in #Rstats mirai is powering not just the #Tidyverse, but also Shiny, Plumber2, Tidymodels and other packages across the ecosystem.

https://youtu.be/j1yHjMvbnQM?si=uTkfucxwEBU_Eh5K