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Automatic variable selection is a powerful technique for simplifying models, reducing overfitting, and improving interpretability. It enables you to efficiently identify the most important predictors from a large set of variables.
The graph below illustrates how different automatic variable selection methods perform across 200 simulation runs.
Details: http://eepurl.com/gH6myT
The last 100 bills in the US #government, analyzed! #dataviz #civictech
I had a great time at @EdinbR last night, talking about interactive charts in R 
(and catching up with people I haven't seen in a while)
In R with {ggiraph}
By passing data from R to Observable
Slides: https://nrennie.rbind.io/talks/edinbR-interactive-charts/slides.html
#TIL
About a good bundle of ebooks on Data Visualization at #HumbleBundle
https://www.humblebundle.com/books/data-visualization-oreilly-books
**EU economy greenhouse gas emissions up 2.2% in Q4 2024**
“_In the fourth quarter of 2024, the EU economy greenhouse gas emissions were estimated at 897 million tonnes of CO2-equivalents (CO2-eq), a 2.2% increase compared with the same quarter of 2023 (878 million tonnes of CO2-eq)._”
https://ec.europa.eu/eurostat/en/web/products-eurostat-news/w/ddn-20250515-1.
#MakeoverMonday – 2025 W20 | The Religious Composition of the World’s Migrants
.: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_20.html
.
#rstats | #DataFam | #dataviz | #ggplot2
@jaztrophysicist A short #dataviz for a forthcoming local communication by the regional supercomputing center CALMIP, to illustrate our recent results on the measurement of turbulent magnetic diffusion at the solar surface.
The convection turbulent velocity field at the solar photosphere, with a resolution of 2500km and a time-sampling of 15 minutes, over a consecutive time-window of 6 days, was computed on the supercomputer based on 4096^2 NASA/SDO images of the photosphere with 45seconds sampling. Images on the right represent the distribution of magnetic fields at the photospheric level of the Sun, also obtained from the SDO MDI instrument. #astrodon #fluids #turbulence #science #ComplexSystems
https://www.aanda.org/articles/aa/full_html/2025/04/aa50476-24/aa50476-24.html
Updated every month: Access the raw datasets behind every #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated.
https://informationisbeautiful.net/data/
This week's #TidyTuesday data is all about seismic activity at Mount Vesuvius! 
Two heatmaps showing weekly and annual patterns
Joined with {patchwork}
Volcano inspired colour palette
Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-05-13
There's still time to sign up for tomorrow's @EdinbR event!
Thursday 15 May 2025, 6.00PM - 7.00PM
2.11 Appleton Tower, Edinburgh
, and fast Bayesian inference (Jordan Richards)
Comment rendre la visualisation de données accessible ?
Couleurs, navigation au clavier, compatibilité avec les lecteurs d’écran… N’oubliez rien grâce aux conseils de Sarah Fossheim @fossheim :
Vidéo et sous-titres automatiques en anglais.
My #Arctic sea-ice thickness and volume data visualizations were just updated through April 2025 as well: https://zacklabe.com/arctic-sea-ice-volumethickness/
#Arctic climate rankings are in for April 2025: https://zacklabe.com/archive-2025/. Low ice volume continues as we move into the melt season.
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/114495140398991265
A #DDJ / #Dataviz perspective on Donald Trump's executive orders (via DW Data):
https://www.dw.com/en/how-durable-are-donald-trumps-executive-orders/a-72356211
https://DSLC.io welcomes you to week 19 of #TidyTuesday! We're exploring Seismic Events at Mount Vesuvius!
https://tidytues.day/2025/2025-05-13
https://www.ingv.it/somma-vesuvio
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
