These are public posts tagged with #tidytuesday. You can interact with them if you have an account anywhere in the fediverse.
What is that default #ggplot2 color?
I've always said it's "green", but it seems I'm in the minority and that the consensus is "blue" – based on responses from the xkcd Color Survey in that color space.
https://github.com/borstell/tidytuesday/tree/main/2025/2025-07-08
#TidyTuesday – 2025 W29 | MTA Permanent Art Catalog
.: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_29.html
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#rstats | #r4ds | #dataviz | #ggplot2
This week's #TidyTuesday data is all about art in New York subway and train stations - thanks to @georgios for curating this week's data! I made an interactive chart showing information about the sentiment of the art descriptions!
Sentiment analysis with {tidytext}
Basic plot made with #ggplot2
Tooltips added with {ggiraph}
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-07-22
Curator: @jonthegeek
https://DSLC.io welcomes you to week 29 of #TidyTuesday! We're exploring MTA Permanent Art Catalog!
https://tidytues.day/2025/2025-07-22
https://www.mta.info/agency/arts-design/permanent-art
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
I couldn't resist building a data viz bookcase for this week's #TidyTuesday data on British Library funding!
Essentially just a bar chart in disguise
Built entirely with #ggplot2
Text added with {ggtext}
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-07-15
#TidyTuesday – 2025 W28 | British Library Funding
.: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_28s.html
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#rstats | #r4ds | #dataviz | #ggplot2
Curator: @jonthegeek
https://DSLC.io welcomes you to week 28 of #TidyTuesday! We're exploring British Library Funding!
https://tidytues.day/2025/2025-07-15
https://anjackson.net/2024/11/29/british-library-funding-breakdown-trends/#income-streams
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
Had some fun plotting colors in 3D for #TidyTuesday #PydyTuesday
The top 100 color names in the 2010 xkcd color name survey by hue, lightness and saturation. Interactive chart made with python + plotly + quarto https://inside-numbers.quarto.pub/top-100-color-names/
Code: https://github.com/Lisa-Ho/small-data-projects/blob/main/README.md#072025-color-names
#TidyTuesday – 2025 W27 | The xkcd Color Survey Results
.: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_27.html
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#rstats | #r4ds | #dataviz | #ggplot2
For this week's #TidyTuesday - here's one I made earlier! It shows the 100 most common RGB monitor colors
Poster style chart with colour swatches
Jittered polygons to make it fun!
Text styled with xkcd font
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-07-08
Curator: @nrennie
https://DSLC.io welcomes you to week 27 of #TidyTuesday! We're exploring The xkcd Color Survey Results!
https://tidytues.day/2025/2025-07-08
https://blog.xkcd.com/2010/05/03/color-survey-results/
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
For #TidyTuesday, we're looking at weekly gas prices in the USA from 1990 to present day
Horizon plot made with {ggHoriPlot}
Colours from {PrettyCols}
Annotations with {ggtext}
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-07-01
Curator: @jonthegeek
https://DSLC.io welcomes you to week 26 of #TidyTuesday! We're exploring Weekly US Gas Prices!
https://tidytues.day/2025/2025-07-01
https://www.eia.gov/petroleum/gasdiesel/
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
#TidyTuesday – 2025 W25 | Measles cases across the world
.: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_25.html
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#rstats | #r4ds | #dataviz | #ggplot2
For this week's #TidyTuesday we're looking at data from the World Health Organisation (WHO) on measles cases.
Joined with WHO data on vaccine coverage
Annotations to add context and information
Made entirely in #RStats
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-06-24
Curator: @jenrichmondPhD
https://DSLC.io welcomes you to week 25 of #TidyTuesday! We're exploring Measles cases across the world!
https://tidytues.day/2025/2025-06-24
https://abcnews.go.com/Health/measles-cases-reach-1046-us-infections-confirmed-30/story?id=122108194
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
An alternative data art interpretation of the Dungeons & Dragons monsters data from #TidyTuesday!
A quick treemap for this week's #TidyTuesday data about APIs!
Built with {treemapify} package in #RStats
Colours (sort of) based on brands
Coloured text and icons with {ggtext}
Code: https://github.com/nrennie/tidytuesday/tree/main/2025%2F2025-06-17