#tidyverse — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tidyverse, 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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{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
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geom_pebble(aes(size= -(x+y) %% 10))
https://streetartutopia.com/2026/04/22/land-beach-art-sculptures-by-jon-foreman/
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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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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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Wait! You can wrap pipelines in R in parentheses to directly use the last value?!?
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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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#Day11 | Distributions – Physiscal | #30DayChartChallenge | Density Distribution of Temperatures in Central America, source: World Bank Climate Portal. Built with #RStats using #ggplot2, #tidyverse and #ggridges.
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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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#Día6 | Comparaciones – RSF-Data Day | #30DayChartChallenge. Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con #tidyverse, #ggtext, #scales, #rnaturalearth, #rnaturalearthdata y #patchwork.
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#Día6 | Comparaciones – RSF-Data Day | #30DayChartChallenge. Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con #tidyverse, #ggtext, #scales, #rnaturalearth, #rnaturalearthdata y #patchwork.
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#Día6 | Comparaciones – RSF-Data Day | #30DayChartChallenge. Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con #tidyverse, #ggtext, #scales, #rnaturalearth, #rnaturalearthdata y #patchwork.
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#Día6 | Comparaciones – RSF-Data Day | #30DayChartChallenge. Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con #tidyverse, #ggtext, #scales, #rnaturalearth, #rnaturalearthdata y #patchwork.
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#Día6 | Comparaciones – RSF-Data Day | #30DayChartChallenge. Cambio en score de libertad de prensa 2024–2025 en paises de América. Creada usando R con #tidyverse, #ggtext, #scales, #rnaturalearth, #rnaturalearthdata y #patchwork.
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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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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
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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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I’m giving a talk at R-Ladies Abuja next week 💜 💙
We’ll dive into #ggplot2 tricks from our "ggplot2 uncharted" class — focusing on both #dataviz best practices and advanced #coding 💪
Sign up for the free session here:
https://www.meetup.com/rladies-abuja/events/313505524/ -
🎥 New recording available!
What’s new in {dplyr} 1.2.0?
In this R-Ladies Rome session, Isabella Velásquez shows when to use the new features and how they improve real data workflows.Watch the talk 👇
https://rladiesrome.org/talks/2026/meetup/03182026_isabellavelasquez.html -
After dithered images my next obsession is 'workflow managers' 🎈Yesterday night I binged some videos from #riffomonas about #reproducible research (CC248 to CC256). He used #snakemake , which looked very nice! Now I also looked up #nextflow It looks fierce!
I am going to learn one of them, and snakemake currently feels more approachable... But what do you think? Any advice? I want to use it in my #bioinformatics #pipeline s; I mainly write in R
#rstats #tidyverse
https://riffomonas.org -
After dithered images my next obsession is 'workflow managers' 🎈Yesterday night I binged some videos from #riffomonas about #reproducible research (CC248 to CC256). He used #snakemake , which looked very nice! Now I also looked up #nextflow It looks fierce!
I am going to learn one of them, and snakemake currently feels more approachable... But what do you think? Any advice? I want to use it in my #bioinformatics #pipeline s; I mainly write in R
#rstats #tidyverse
https://riffomonas.org -
After dithered images my next obsession is 'workflow managers' 🎈Yesterday night I binged some videos from #riffomonas about #reproducible research (CC248 to CC256). He used #snakemake , which looked very nice! Now I also looked up #nextflow It looks fierce!
I am going to learn one of them, and snakemake currently feels more approachable... But what do you think? Any advice? I want to use it in my #bioinformatics #pipeline s; I mainly write in R
#rstats #tidyverse
https://riffomonas.org -
After dithered images my next obsession is 'workflow managers' 🎈Yesterday night I binged some videos from #riffomonas about #reproducible research (CC248 to CC256). He used #snakemake , which looked very nice! Now I also looked up #nextflow It looks fierce!
I am going to learn one of them, and snakemake currently feels more approachable... But what do you think? Any advice? I want to use it in my #bioinformatics #pipeline s; I mainly write in R
#rstats #tidyverse
https://riffomonas.org -
After dithered images my next obsession is 'workflow managers' 🎈Yesterday night I binged some videos from #riffomonas about #reproducible research (CC248 to CC256). He used #snakemake , which looked very nice! Now I also looked up #nextflow It looks fierce!
I am going to learn one of them, and snakemake currently feels more approachable... But what do you think? Any advice? I want to use it in my #bioinformatics #pipeline s; I mainly write in R
#rstats #tidyverse
https://riffomonas.org -
Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:
|>, %>%, with(), lambdas, %$%, ...
there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)
Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!
#rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!
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Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:
|>, %>%, with(), lambdas, %$%, ...
there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)
Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!
#rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!