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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/114812240776236140

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

Curator: @nrennie
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring The xkcd Color Survey Results!

📂 https://tidytues.day/2025/2025-07-08
🗞️ https://blog.xkcd.com/2010/05/03/color-survey-results/

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.

A 10x10 grid of roughly drawn squares each including a color from the top 100 most common rgb monitor colors from the xkcd color survey. Purple is the most used, and ochre is the 100th. There are lots of green squares. Color names are printed under each square.

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

Ever wonder how the #tidyverse came to be? 🤔 #TheTestSet 's first episode features @hadleywickham on his accidental empire of #RStats packages, bear encounters, and more!

Stream "Spreadsheets, bikes, and the accidental empire of R packages" at:

• https://thetestset.co
• Spotify: https://open.spotify.com/episode/7Cta4KzehwPpM3P6fHaqfQ?si=eJXDgBaeT9WS5BeTiVOh-w
• Apple Podcasts: https://podcasts.apple.com/us/podcast/spreadsheets-bikes-and-the-accidental-empire-of/id1823736938?i=1000715173867

#DataAnalytics #PodcastLaunch #RProgramming #Podcast

Hadley Wickham in a white t-shirt and jeans sits on a light-colored couch across from Michael Chow, wearing a dark green shirt and pants, who is seated on an orange pouf. Between them is a white coffee table with books. In the background, there's a dark bar with shelves displaying numerous bottles, a wood-paneled wall, and a black, modern fireplace. Text overlay reads "Hadley Wickham CHIEF SCIENTIST, POSIT".

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/114772602513524756

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

Using dplyr and ggplot2 in R can significantly streamline your data analysis process, making it easier to work with complex data sets.

I have created a video tutorial in collaboration with Albert Rapp, where I demonstrate how to do this in practice: https://www.youtube.com/watch?v=EKISB0gnue4

#coding #datavisualization #rprogramming #dataviz #statisticalanalysis #package #datastructure #ggplot2 #bigdata #tidyverse

Curator: @jonthegeek
https://DSLC.io welcomes you to week 26 of #TidyTuesday! We're exploring Weekly US Gas Prices!

📁 https://tidytues.day/2025/2025-07-01
🗞️ https://www.eia.gov/petroleum/gasdiesel/

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

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

A line chart titled 'Regular Gasoline Prices' showing weekly average gasoline prices by U.S. region from July 2024 to May 2025 in dollars per gallon. California and West Coast lines are highest, ranging from just below $4 to almost $5. Gulf Coast is lowest, starting just above $3 but remaining below $3 since September 2024. Most regions cluster near $3 per gallon.

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/114733036683995000

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

Curator: @jenrichmondPhD
https://DSLC.io welcomes you to week 25 of #TidyTuesday! We're exploring Measles cases across the world!

📁 https://tidytues.day/2025/2025-06-24
🗞️ https://abcnews.go.com/Health/measles-cases-reach-1046-us-infections-confirmed-30/story?id=122108194

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

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

The plot displays the number of monthly measles cases in the US from 2020 to 2025 using red points and lines. The pattern shows very low measles cases each month, until 2025, when there is a spike of cases, rising to more than 400 in March 2025

"duckplyr fully joins the tidyverse!"

https://www.tidyverse.org/blog/2025/06/duckplyr-1-1-0/ #duckdb #RStats #tidyverse

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/114693336598179350

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

Curator: @jonthegeek
https://DSLC.io welcomes you to week 24 of #TidyTuesday! We're exploring API Specs!

📁 https://tidytues.day/2025/2025-06-17
📰 https://dslc-io.github.io/club-wapir/slides/intro.html

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

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

Bleeding edge update for the #tidyverse purrr package. We've been working to make #rstats parallel maps even more seamless.

Introducing our shiniest new adverb: `in_parallel()`. Just wrap your function with it to take advantage of blazing fast parallel processing via mirai.

Utilise multiple cores on your own machine or distribute workloads across the network.

Please help us by testing it out! Install the pkg dev version via:

pak::pak("tidyverse/purrr")

https://purrr.tidyverse.org/dev/

I recently discovered the tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots.

The example visualizations shown here were created by the package author, Jan Broder Engler, and are featured on the tidyplots website: https://jbengler.github.io/tidyplots/

Click this link for detailed information: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r

#statisticsclass #datavisualization #advancedanalytics #rprogramminglanguage #visualanalytics #package #tidyverse

Im using case_when() quite a lot, case_match() is new to me: https://dplyr.tidyverse.org/reference/case_match.html #rstats #tidyverse

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/114653750345507037

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

Curator: @jonthegeek
https://DSLC.io welcomes you to week 23 of #TidyTuesday! We're exploring U.S. Judges and the historydata R package!

📁 https://tidytues.day/2025/2025-06-10
🗞️ https://ropensci.org/blog/2023/02/07/what-does-it-mean-to-maintain-a-package/

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

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

I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors. Post: www.spsanderson.com/steveondata/... #R #RStats #tibble #dplyr #tidyverse #dataframe #baseR #blog

I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors.

Post: https://www.spsanderson.com/steveondata/posts/2025-06-09/

#R #RStats #tibble #dplyr #tidyverse #dataframe #baseR #blog #Technology

I've talked about creating data.frames and tibbles before, but it is an important topic so I have covered it again. This time specifically from the perspective of creating them from vectors.

Post: https://www.spsanderson.com/steveondata/posts/2025-06-09/

#R #RStats #tibble #dplyr #tidyverse #dataframe #baseR #blog #Technology

#tidyverse

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