DataScienceLearningCommunityIt'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/116596094082840724
DSLC VideosRecent @DSLC club meetings:
The Art of Data Visualization with ggplot2: The TidyTuesday Cookbook: R packages: using images for custom facet labels https://youtu.be/BQeJJtplwGY #RStats #DataViz #ggplot2 #TidyTuesday
From the @DSLC βchives:
Deep Learning with Python (3e): A deep dive on Keras https://youtu.be/N1lmeYt9j7o #AI #DeepLearning #GenAI #PyData
Support the Data Science Learning Community at https://patreon.com/DSLC
The TidyTuesday Cookbook: R packages: using images for custom facet labels (ttcookbook01 10)
Nicola RennieFor #TidyTuesday this week, we're looking at Crossref metadata ποΈ I decided to look at how Crossref members (with and without ORCID iDs) vary across different regions π
If you're working with this week's #TidyTuesday data, you might find it helpful to join the region codes with the names for these regions. You can get them from the WorldBank taxonomy (and scrape them using {rvest} in #RStats)
Steven Ponceπ #TidyTuesday β 2026 W20 | Crossref Metadata Coverage
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π: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2026/tt_2026_20.html
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#rstats | #r4ds | #dataviz | #ggplot2
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π: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2026/tt_2026_20.html
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#rstats | #r4ds | #dataviz | #ggplot2
Jon HarmonCurator: @crossref
https://DSLC.io welcomes you to week 20 of #TidyTuesday! We're exploring State of Crossref metadata by member country!
π https://tidytues.day/2026/2026-05-19
π° https://doi.org/10.64000/7s70g-drz77
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
Clinton#TidyTuesday but a day late π This was a fun map to make in #RStats and there's so much you can do with this data!! I ran out time after fiddling around trying to make a fancy subtitle with city names colored to match their nodes and edges. My dream was find the longest trail (starting from my city) from one #sistercity to its #twinnedcity but...lol...no time for that!
Here's the finished version of this #TidyTuesday chart!
π Sunburst chart made with #ggplot2 in #RStats
β Dropdown interaction added with {ggiraph} with a few little JavaScript helpers
π Combined with #QuartoPub
Yes, you can make interactives in R without requiring Shiny!
Thanks so much to those who joined me at the Posit Data Science Lab with Libby Heeren and Nick Rohrbaugh!
Here's what I came up with in ~50 minutes of live-coding a #TidyTuesday chart - a parameterised plot, showing which continents twinned cities are from!
A few more things I want to add: tooltips to show city/country names, dropdown to choose a country, and slightly better text contrast!
Code from the lab and resources: https://nrennie.rbind.io/talks/posit-ds-lab/
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/116556597475620538