#ggplot2 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ggplot2, aggregated by home.social.
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🎨New blog post 🎨
I've written down some of the things I talked about in my Ihaka Lecture last month
❓ what is creativity in #DataViz
❓ why does it matter
❓ how to create more creative chartsLink: https://nrennie.rbind.io/blog/creativity-data-visualisation/
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🎨New blog post 🎨
I've written down some of the things I talked about in my Ihaka Lecture last month
❓ what is creativity in #DataViz
❓ why does it matter
❓ how to create more creative chartsLink: https://nrennie.rbind.io/blog/creativity-data-visualisation/
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A modern recreation of a 1989 diagnostic diagram for emission-line galaxies for this week's #TidyTuesday!
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-08-11
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A modern recreation of a 1989 diagnostic diagram for emission-line galaxies for this week's #TidyTuesday!
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-08-11
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A simple infographic showing which countries import the most wool from Lesotho 🧶
📊 Made with #RStats
🇱🇸 Colours inspired by the Lesotho flag
📸 Icons added with {ggimage}Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-08-04
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A simple infographic showing which countries import the most wool from Lesotho 🧶
📊 Made with #RStats
🇱🇸 Colours inspired by the Lesotho flag
📸 Icons added with {ggimage}Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-08-04
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This week's #TidyTuesday data is about ecotourism in Australia!
I focused on observations of orchids 🌷 and created a dashboard-style small multiple chart showing long-term and short-term trends 📊
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-07-28
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This week's #TidyTuesday data is about ecotourism in Australia!
I focused on observations of orchids 🌷 and created a dashboard-style small multiple chart showing long-term and short-term trends 📊
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-07-28
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A really interesting dataset about near death experiences (NDEs) for #TidyTuesday this week! 👻
Only about 7% of experiences classified as an NDE in the data, had a Greyson score (the scale for measuring NDEs) high enough to actually be classified as an NDE 📊
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-07-21
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#RStats #ggplot2 scales advice needed!
I need a diverging scale around 0 with different bold starting colours on either side of zero, which fade to nothing.
I'm currently hacking something with scale_color_gradientn(), but it's a bit hackish.
Is there a color scale which does what I want?
E.g. this is a set of isolines for a signed distance field. Negative values are red. Zero and above are black. Color fades further away from zero.
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A phylogenetic tree meets small multiple scatter plots (a phylogenetic scatter tree?) for #TidyTuesday this week, where we're looking at data on penguins 🌳
Arranging the facets by genus makes it easier to see related features across species 🐧
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-07-14
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"Graphic Design with #ggplot2": All material from this 2 day workshop can be found at https://rstudio-conf-2022.github.io/ggplot2-graphic-design/ #rstats #design
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You can now make chord diagrams in #ggplot2 🎉
Here's a short blog introducing the 'ggchord2' package and showing you how to make chord diagrams 📊
Link: https://nrennie.rbind.io/blog/chord-diagrams-ggchord2/
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Sneak peek at a new interactive project exploring historic temperature trends across Scotland
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#ggplot2 #rstats #dataviz R package 'ggpmisc' 1.0.0 is now in CRAN, a bit late for its 10 years' in CRAN anniversary. It supports textual annotations and predictions based on fitted models as well as "letters" and "bars" annotations for pairwise multiple comparisons. In addition to plotmath expressions, LaTeX ('xdvir') and markdown ('marquee' and 'ggtext') encodings are available. There is a package website at https://docs.r4photobiology.info/ggpmisc/. See this and my other packages at https://aphalo.r-universe.dev/
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Hello #ggplot2 #dataviz experts out there!
I have created a map of Indonesia with some labels for a friend's publication (left), but she would ideally like the labels to be around the edges of the map (as in the second figure). I am currently using ggrepel::geom_label_repe() to ensure that the labels don't overlap. Any ideas how I could achieve something resembling the second figure?
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In addition to #ggplot2, I used the extension packages geofacet and ggstar.
Here is the code: https://gist.github.com/z3tt/4bd419aa60ef2d865282cc3829b96553
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Happy #IndependenceDay to all U.S. followers 🇺🇸
Here’s a playful grid map for the 4th of July: a stylized, U.S.-themed version of one of our examples from #ggplot2 #uncharted 🎊
Want to learn more about #DataViz with #rstats and how to create maps like this? Check out the course: https://ggplot2-uncharted.com/
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An experimental chart for #TidyTuesday this week on the topic of shipwrecks around Ireland!
Putting time on the y axis to create a very long static scrolly chart with lots of annotations 📊 ft. bubble effect for points
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-06-30
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https://github.com/bczech/ggwas