#tidytuesday β Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tidytuesday, aggregated by home.social.
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#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!
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#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!
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#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!
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#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!
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#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!
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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 #QuartoPubYes, you can make interactives in R without requiring Shiny!
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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 #QuartoPubYes, you can make interactives in R without requiring Shiny!
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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 #QuartoPubYes, you can make interactives in R without requiring Shiny!
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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 #QuartoPubYes, you can make interactives in R without requiring Shiny!
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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 #QuartoPubYes, you can make interactives in R without requiring Shiny!
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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/
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Curator: @nrennie
https://DSLC.io welcomes you to week 19 of #TidyTuesday! We're exploring Twinned Cities!π https://tidytues.day/2026/2026-05-12
π° https://bothness.github.io/twin-cities/Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
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I have not done #TidyTuesday for a long time, and this was both fun and challenging! Given my interest in #FiberArts I explored #yarn production in Italy, 1936-1985. Don't be deceived! The massive spike on the right is still only a tiny amount of yarn produced before and after the war #DataViz #RStats #π Of course, these colors are Italian flag inspired, and hopefully easily discernible by everyone. HARDEST PART: getting the magick layout right π΅βπ« and the fonts could be bigger...next time...
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I have not done #TidyTuesday for a long time, and this was both fun and challenging! Given my interest in #FiberArts I explored #yarn production in Italy, 1936-1985. Don't be deceived! The massive spike on the right is still only a tiny amount of yarn produced before and after the war #DataViz #RStats #π Of course, these colors are Italian flag inspired, and hopefully easily discernible by everyone. HARDEST PART: getting the magick layout right π΅βπ« and the fonts could be bigger...next time...
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I have not done #TidyTuesday for a long time, and this was both fun and challenging! Given my interest in #FiberArts I explored #yarn production in Italy, 1936-1985. Don't be deceived! The massive spike on the right is still only a tiny amount of yarn produced before and after the war #DataViz #RStats #π Of course, these colors are Italian flag inspired, and hopefully easily discernible by everyone. HARDEST PART: getting the magick layout right π΅βπ« and the fonts could be bigger...next time...
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I have not done #TidyTuesday for a long time, and this was both fun and challenging! Given my interest in #FiberArts I explored #yarn production in Italy, 1936-1985. Don't be deceived! The massive spike on the right is still only a tiny amount of yarn produced before and after the war #DataViz #RStats #π Of course, these colors are Italian flag inspired, and hopefully easily discernible by everyone. HARDEST PART: getting the magick layout right π΅βπ« and the fonts could be bigger...next time...
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I have not done #TidyTuesday for a long time, and this was both fun and challenging! Given my interest in #FiberArts I explored #yarn production in Italy, 1936-1985. Don't be deceived! The massive spike on the right is still only a tiny amount of yarn produced before and after the war #DataViz #RStats #π Of course, these colors are Italian flag inspired, and hopefully easily discernible by everyone. HARDEST PART: getting the magick layout right π΅βπ« and the fonts could be bigger...next time...
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Can a barplot look like containers on a ship? Maybe, thought I am unsure how much insight it yields...
Ship svg made from bitmap of Panamax at https://transportgeography.org/contents/chapter5/maritime-transportation/evolution-containerships-classes/
Code available at https://codeberg.org/hansvintherrossen/tidytuesday/src/branch/main/2026/2026-05-05
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An annotation-heavy, faceted area chart for #TidyTuesday this week providing different ways of looking at historic ship production in Italy π’
π Made in #RStats with #ggplot2
Code: https://github.com/nrennie/tidytuesday/blob/main/2026/2026-05-05
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Curator: @fosstodon.org/@nrennie
https://DSLC.io welcomes you to week 18 of #TidyTuesday! We're exploring Italian industrial production!π https://tidytues.day/2026/2026-05-05
ποΈ 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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This week's #TidyTuesday is all about agricultural tariffs in the USA, and I decided to focus in on tariffs on jam π
Of course, that naturally led to figuring out how to write code to plot jam jars in #RStats!
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-04-28
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Fun #dataviz for the #30DayChartChallenge Day8 Circular π½πΈ UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).
Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)
Data via #TidyTuesday
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Fun #dataviz for the #30DayChartChallenge Day8 Circular π½πΈ UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).
Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)
Data via #TidyTuesday
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Fun #dataviz for the #30DayChartChallenge Day8 Circular π½πΈ UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).
Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)
Data via #TidyTuesday
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Fun #dataviz for the #30DayChartChallenge Day8 Circular π½πΈ UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).
Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)
Data via #TidyTuesday
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Fun #dataviz for the #30DayChartChallenge Day8 Circular π½πΈ UFO sightings around the world reported to the National UFO Reporting Center between 1926 & 2013 (total >80,000).
Reports increased since the 1990s, maybe internet made reporting easier or more happening in space? (note: that last week with fewest dots is when the year has 53 weeks which doesnt happen a lot)
Data via #TidyTuesday
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Curator: @jonthegeek
https://DSLC.io welcomes you to week 17 of #TidyTuesday! We're exploring US Agricultural Tariffs!π https://tidytues.day/2026/2026-04-28
π° 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!
π https://tidytues.day/2026/2026-04-21
ποΈ 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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This week's #TidyTuesday data is all about Global Health Spending π°οΈ
I created a minimalist world map showing the percentage of health spending on preventive care π
Notable upticks in 2021 across many countries, higher % overall in African countries, and lots of missing data
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-04-21
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For this week's #TidyTuesday data on sea bird sightings, there was an obvious choice for which type of bird to focus on - penguins! π§
π Bubble timeline made with #RStats
π¨ Colours inspired by {palmerpenguins}
π Annotations added with {cowplot}Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-04-14
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Curator: @jonthegeek
https://DSLC.io welcomes you to week 15 of #TidyTuesday! We're exploring Bird Sightings at Sea!π https://tidytues.day/2026/2026-04-14
ποΈ 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!
π https://tidytues.day/2026/2026-04-07
π° 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!
π https://tidytues.day/2026/2026-03-31
ποΈ 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!
π https://tidytues.day/2026/2026-03-24
ποΈ 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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Another #PiDay themed visualisation for #TidyTuesday this week!
π Made with #ggplot2
π οΈ Function to shown first n digits and highlight specific ones
πͺ Gif created with {magick}Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-03-24
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A simple stacked bar chart for #TidyTuesday this week, looking at disparities in the number of male and female tortoises π’
Made with Plotnine in #Python π
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-03-03
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This month's tabular playground #rstats #databs #tidytuesday www.kaggle.com/code/jimgrum...
π Heart Disease -
For #TidyTuesday I plotted the sheep population and census data from #OUrWorldinData. They better hope the sheep don't rise up. #rstats #dataviz
p.s. I could not get a @ symbol in my caption without some special text (!?)
Code:https://codeberg.org/svanhorne/TidyTuesday/src/branch/main/2026/NewZealand.r
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A little bit of Winter Olympics data art for #TidyTuesday this week! π¨
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-02-10
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Finally getting my #TidyTuesday up for this weekβfeaturing the new Sankey diagram Iβve added to my #Uncharted @11ty plugin.
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My @11ty plugin, #Uncharted, is an early WIP. Turns CSVs into CSS charts with optional animations and customizable classes. Currently supports five chart typesβmore to come soon (most likely as I need them for #TidyTuesday). Feedback/PRs welcome!
https://github.com/slunsford/uncharted
#datadon -
New year, new #TidyTuesday site. Iβm building this on @11ty now (like all my other websites) and developing a new plugin for generating charts. First three weeks of 2026 are up.
https://tidytuesday.seanlunsford.com/
#datadon -
Here's a little round up of my 2025 year in #DataViz featuring
π Some of my favourite #RStats charts
π A look back at 5 years of #TidyTuesday
π Links to cool #QuartoPub and visualisation things I've seen this year -
π¨ Recording now live!
Developing Your #DataVisualisation Skills in #ggplot2 with @nrennie
Watch the creative process exploring the #TidyTuesday cats dataset π
https://youtu.be/jba0Bw6xwR0
π Materials & links:
π nrennie.rbind.io/talks/rladies-rome-ggplot2 -
#TidyTuesday this week is about the #FAO data for the #WorldFoodDay π Combining `ggbump` and a map to display a ranking, I chose to use IPC data instead and reproduce a chart by David Sjoberg. #rstats #ipcinfo #ipc #fsl #dataviz #map #ggplot2 Code: guillaume-noblet.com/TidyTuesday/
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#TidyTuesday a week late on Crane Observations at Lake HornborgasjΓΆn, Sweden (1994β2024). ποΈ Used a heatmap to look at the repeated yearly spring observations π· `ggbranding` to add personal branding github.com/gnoblet/ggbr... π½ Code: gnoblet.github.io/TidyTuesday/ #rstats #ggplot2 #heatmap #dataviz
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At RSS conference next week, I'll be talking in the 'Book Publication as a Scholarly Activity for Statisticians' session @ 11.30 on Thurs 4 Sept - which I'm really looking forward to!
Some of the things I'll be talking about include:
π Writing about #RStats with #QuartoPub
βοΈ Working with Lara at CRC Press
π How it all started with some #TidyTuesday charts!(Very subtle announcement that there's a #DataViz book from me coming soon!)
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At RSS conference next week, I'll be talking in the 'Book Publication as a Scholarly Activity for Statisticians' session @ 11.30 on Thurs 4 Sept - which I'm really looking forward to!
Some of the things I'll be talking about include:
π Writing about #RStats with #QuartoPub
βοΈ Working with Lara at CRC Press
π How it all started with some #TidyTuesday charts!(Very subtle announcement that there's a #DataViz book from me coming soon!)
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At RSS conference next week, I'll be talking in the 'Book Publication as a Scholarly Activity for Statisticians' session @ 11.30 on Thurs 4 Sept - which I'm really looking forward to!
Some of the things I'll be talking about include:
π Writing about #RStats with #QuartoPub
βοΈ Working with Lara at CRC Press
π How it all started with some #TidyTuesday charts!(Very subtle announcement that there's a #DataViz book from me coming soon!)