#r4ds — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #r4ds, aggregated by home.social.
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Curator: @afrikaniz3d
https://DSLC.io welcomes you to week 21 of #TidyTuesday! We're exploring Sustainable Energy for All!📁 https://tidytues.day/2026/2026-05-26
🗞️ https://energydata.info/dataset/dashboard/se4all-databaseSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @afrikaniz3d
https://DSLC.io welcomes you to week 21 of #TidyTuesday! We're exploring Sustainable Energy for All!📁 https://tidytues.day/2026/2026-05-26
🗞️ https://energydata.info/dataset/dashboard/se4all-databaseSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @afrikaniz3d
https://DSLC.io welcomes you to week 21 of #TidyTuesday! We're exploring Sustainable Energy for All!📁 https://tidytues.day/2026/2026-05-26
🗞️ https://energydata.info/dataset/dashboard/se4all-databaseSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @afrikaniz3d
https://DSLC.io welcomes you to week 21 of #TidyTuesday! We're exploring Sustainable Energy for All!📁 https://tidytues.day/2026/2026-05-26
🗞️ https://energydata.info/dataset/dashboard/se4all-databaseSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @afrikaniz3d
https://DSLC.io welcomes you to week 21 of #TidyTuesday! We're exploring Sustainable Energy for All!📁 https://tidytues.day/2026/2026-05-26
🗞️ https://energydata.info/dataset/dashboard/se4all-databaseSubmit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @crossref
https://DSLC.io welcomes you to week 20 of #TidyTuesday! We're exploring State of Crossref metadata by member country!📁 https://tidytues.day/2026/2026-05-19
📰 https://doi.org/10.64000/7s70g-drz77Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @crossref
https://DSLC.io welcomes you to week 20 of #TidyTuesday! We're exploring State of Crossref metadata by member country!📁 https://tidytues.day/2026/2026-05-19
📰 https://doi.org/10.64000/7s70g-drz77Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @crossref
https://DSLC.io welcomes you to week 20 of #TidyTuesday! We're exploring State of Crossref metadata by member country!📁 https://tidytues.day/2026/2026-05-19
📰 https://doi.org/10.64000/7s70g-drz77Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @crossref
https://DSLC.io welcomes you to week 20 of #TidyTuesday! We're exploring State of Crossref metadata by member country!📁 https://tidytues.day/2026/2026-05-19
📰 https://doi.org/10.64000/7s70g-drz77Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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Curator: @crossref
https://DSLC.io welcomes you to week 20 of #TidyTuesday! We're exploring State of Crossref metadata by member country!📁 https://tidytues.day/2026/2026-05-19
📰 https://doi.org/10.64000/7s70g-drz77Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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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: @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: @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: @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: @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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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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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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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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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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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 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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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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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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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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🎯 Level up your R functions! Discover best practices for returning multiple values - from simple vectors to structured outputs. Perfect for data pipeline development. 🔗 www.spsanderson.com/steveondata/... #rstats #Rprog #Rcode #DataSci #R4ds #blog #function #RProgramming
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📦 {flashr} 0.2.0 is out! ⚡
The R package {flashr} creates flashcards for learning R functions or other things. The new version can extract R functions from R Markdown and Quarto documents, which can be used to create flashcard decks.Blogpost: https://jeffreyrstevens.github.io/posts/flashr/
* extract_code() grabs content of code blocks
* extract_functions() grabs all R functions in the code text
* build_functions_df() creates a data frame that flashcard() can use to create slides
* automatically populates function definitions from https://jeffreyrstevens.github.io/flashr_decks/functions.htmlWith {flashr} you can view/build existing decks from R for Data Science and PsyTeachR (https://jeffreyrstevens.github.io/flashr_decks/decks.html) or build your own decks extracted from other books and sources.
Feedback is welcome on other decks or ideas for improvements!
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📦 {flashr} 0.2.0 is out! ⚡
The R package {flashr} creates flashcards for learning R functions or other things. The new version can extract R functions from R Markdown and Quarto documents, which can be used to create flashcard decks.Blogpost: https://jeffreyrstevens.github.io/posts/flashr/
* extract_code() grabs content of code blocks
* extract_functions() grabs all R functions in the code text
* build_functions_df() creates a data frame that flashcard() can use to create slides
* automatically populates function definitions from https://jeffreyrstevens.github.io/flashr_decks/functions.htmlWith {flashr} you can view/build existing decks from R for Data Science and PsyTeachR (https://jeffreyrstevens.github.io/flashr_decks/decks.html) or build your own decks extracted from other books and sources.
Feedback is welcome on other decks or ideas for improvements!
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📦 {flashr} 0.2.0 is out! ⚡
The R package {flashr} creates flashcards for learning R functions or other things. The new version can extract R functions from R Markdown and Quarto documents, which can be used to create flashcard decks.Blogpost: https://jeffreyrstevens.github.io/posts/flashr/
* extract_code() grabs content of code blocks
* extract_functions() grabs all R functions in the code text
* build_functions_df() creates a data frame that flashcard() can use to create slides
* automatically populates function definitions from https://jeffreyrstevens.github.io/flashr_decks/functions.htmlWith {flashr} you can view/build existing decks from R for Data Science and PsyTeachR (https://jeffreyrstevens.github.io/flashr_decks/decks.html) or build your own decks extracted from other books and sources.
Feedback is welcome on other decks or ideas for improvements!
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📦 {flashr} 0.2.0 is out! ⚡
The R package {flashr} creates flashcards for learning R functions or other things. The new version can extract R functions from R Markdown and Quarto documents, which can be used to create flashcard decks.Blogpost: https://jeffreyrstevens.github.io/posts/flashr/
* extract_code() grabs content of code blocks
* extract_functions() grabs all R functions in the code text
* build_functions_df() creates a data frame that flashcard() can use to create slides
* automatically populates function definitions from https://jeffreyrstevens.github.io/flashr_decks/functions.htmlWith {flashr} you can view/build existing decks from R for Data Science and PsyTeachR (https://jeffreyrstevens.github.io/flashr_decks/decks.html) or build your own decks extracted from other books and sources.
Feedback is welcome on other decks or ideas for improvements!
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📦 {flashr} 0.2.0 is out! ⚡
The R package {flashr} creates flashcards for learning R functions or other things. The new version can extract R functions from R Markdown and Quarto documents, which can be used to create flashcard decks.Blogpost: https://jeffreyrstevens.github.io/posts/flashr/
* extract_code() grabs content of code blocks
* extract_functions() grabs all R functions in the code text
* build_functions_df() creates a data frame that flashcard() can use to create slides
* automatically populates function definitions from https://jeffreyrstevens.github.io/flashr_decks/functions.htmlWith {flashr} you can view/build existing decks from R for Data Science and PsyTeachR (https://jeffreyrstevens.github.io/flashr_decks/decks.html) or build your own decks extracted from other books and sources.
Feedback is welcome on other decks or ideas for improvements!
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Errors and warnings in R programming can be challenging, but I've got you covered! I've created a list of common errors and warnings in R, including examples and step-by-step instructions on how to fix them. More info: https://statisticsglobe.com/errors-warnings-r
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UPDATE: Who will be promoted to the Bundesliga this season? Here is the result of a Monte Carlo simulation to estimate the chances of promotion. #bundesliga #fcsp #KielAhoi #f95 #h96 #rstats #KSCmeineHeimat #r4ds #dataviz #DataScience #football
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UPDATE: Who will be promoted to the Bundesliga this season? Here is the result of a Monte Carlo simulation to estimate the chances of promotion. #bundesliga #fcsp #KielAhoi #f95 #h96 #rstats #KSCmeineHeimat #r4ds #dataviz #DataScience #football
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Who wins Premier League 2024? Here is the result of a Monte Carlo simulation to estimate the chances.
#pl #arsenal #PremierLeague #ManCity #England #MCFC #EPL #RedTogether #LFC #r4ds #dataviz #DataScience #football #rstats #ggplot -
Who will be promoted to the Bundesliga this season? Here is the result of a Monte Carlo simulation to estimate the chances of promotion.
Looks like #HSV fail to make it again...
#bundesliga #fcsp #KielAhoi #f95 #h96 #rstats #KSCmeineHeimat #r4ds #dataviz #DataScience #football -
Thanks to Forecasting for Social Good for inviting me to deliver a workshop on "Forecasting with Generalised Additive Models (GAMs) in R" today! We talked about:
❓ What are GAMs?
❓ How do we fit GAMs in R?
❓ Model evaluation and forecasting
❓ When GAMs go wrong!Slides: https://nrennie.github.io/f4sg-gams
GitHub: https://github.com/nrennie/f4sg-gams
Posit Cloud: https://posit.cloud/content/7637971
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Thanks to Forecasting for Social Good for inviting me to deliver a workshop on "Forecasting with Generalised Additive Models (GAMs) in R" today! We talked about:
❓ What are GAMs?
❓ How do we fit GAMs in R?
❓ Model evaluation and forecasting
❓ When GAMs go wrong!Slides: https://nrennie.github.io/f4sg-gams
GitHub: https://github.com/nrennie/f4sg-gams
Posit Cloud: https://posit.cloud/content/7637971
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Thanks to Forecasting for Social Good for inviting me to deliver a workshop on "Forecasting with Generalised Additive Models (GAMs) in R" today! We talked about:
❓ What are GAMs?
❓ How do we fit GAMs in R?
❓ Model evaluation and forecasting
❓ When GAMs go wrong!Slides: https://nrennie.github.io/f4sg-gams
GitHub: https://github.com/nrennie/f4sg-gams
Posit Cloud: https://posit.cloud/content/7637971
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Thanks to Forecasting for Social Good for inviting me to deliver a workshop on "Forecasting with Generalised Additive Models (GAMs) in R" today! We talked about:
❓ What are GAMs?
❓ How do we fit GAMs in R?
❓ Model evaluation and forecasting
❓ When GAMs go wrong!Slides: https://nrennie.github.io/f4sg-gams
GitHub: https://github.com/nrennie/f4sg-gams
Posit Cloud: https://posit.cloud/content/7637971
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Thanks to Forecasting for Social Good for inviting me to deliver a workshop on "Forecasting with Generalised Additive Models (GAMs) in R" today! We talked about:
❓ What are GAMs?
❓ How do we fit GAMs in R?
❓ Model evaluation and forecasting
❓ When GAMs go wrong!Slides: https://nrennie.github.io/f4sg-gams
GitHub: https://github.com/nrennie/f4sg-gams
Posit Cloud: https://posit.cloud/content/7637971
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#tidytuesday week 5: #GroundhogDay 🌤️ ☃️
from predictor distribution to temporal trends and top predictors – each subplot tells a fascinating story.
#ggplot #GroundhogDay2024 #r4ds
Code: 👉 https://bit.ly/49kBQY7 -
#tidytuesday week 5: #GroundhogDay 🌤️ ☃️
from predictor distribution to temporal trends and top predictors – each subplot tells a fascinating story.
#ggplot #GroundhogDay2024 #r4ds
Code: 👉 https://bit.ly/49kBQY7 -
#tidytuesday week 5: #GroundhogDay 🌤️ ☃️
from predictor distribution to temporal trends and top predictors – each subplot tells a fascinating story.
#ggplot #GroundhogDay2024 #r4ds
Code: 👉 https://bit.ly/49kBQY7 -
https://r4ds.io is #NotJustR4DS! We're a global Data Science Learning Community! Some of our active book clubs:
* #R4DS (https://r4ds.hadley.nz/)
* #ISLR AND #ISLP (www.statlearning.com)
* Mastering #RShiny (mastering-shiny.org)
* #RStats Packages (r-pkgs.org/)
* ...and many more data-related books!We have almost 60 books on our list so far, and we keep adding more! See meeting recordings at https://r4ds.io/youtube , and join our slack at https://r4ds.io/join to participate!
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https://r4ds.io is #NotJustR4DS! We're a global Data Science Learning Community! Some of our active book clubs:
* #R4DS (https://r4ds.hadley.nz/)
* #ISLR AND #ISLP (www.statlearning.com)
* Mastering #RShiny (mastering-shiny.org)
* #RStats Packages (r-pkgs.org/)
* ...and many more data-related books!We have almost 60 books on our list so far, and we keep adding more! See meeting recordings at https://r4ds.io/youtube , and join our slack at https://r4ds.io/join to participate!
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#TidyTuesday Week 42: Exploring Taylor Swift's album vibes! 📊 Check out the danceability, energy, and more in her music with this stylish chart. 🎵
code: https://bit.ly/3S3QEVM
#TaylorSwift #MusicData #DataViz #r4ds #rstats #ggplot2