A quick timeline bubble chart for this week's #TidyTuesday data on Papal Encyclicals showing the average number is generally decreasing

Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-06-23

#DataViz #ggplot2 #RStats

Ah yes, 🤔 yet another "revolutionary" Python library that promises to turn your data into "beautiful visualizations," because who wouldn’t want to spend their weekend deciphering an endless API reference and changelog? 🎉 Spoiler alert: it's just another #ggplot2 📊 wannabe, with a dash of self-importance and a sprinkle of "publication-ready" delusions. 🙃
https://plotnine.org/ #PythonLibraries #DataVisualization #APIReference #TechHumor #HackerNews #ngated
Plotnine

plotnine 0.15.7
Plotnine

plotnine 0.15.7
Today's artwork generated with #rstats and #ggplot2:
📊 #TidyTuesday – 2026 W25 | Papal Encyclicals: Industrial Revolution vs. AI Revolution
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🔗: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2026/tt_2026_25.html
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#rstats | #r4ds | #dataviz | #ggplot2

For W24 of #TidyTuesday I explored how UK baby names have changed since 1997. The most popular names of 1997 now account for a much smaller share of published records, while the number of distinct names has grown for both girls and boys.

Code: https://github.com/majaurankar/TidyTuesday/tree/main/2026/W24

#dataviz #rstats #ggplot2

Today's artwork generated with #rstats and #ggplot2:
Today's artwork generated with #rstats and #ggplot2:
Today's artwork generated with #rstats and #ggplot2: