Experimenting with using a dashboard to provide up-to-date stats and interactive event-level info on the pro-Palestine movement in the U.S. since October 7.
Is this useful to you? If so, what other info or filtering options or the like would be most helpful?
I can't promise anything, just collecting suggestions for now.
Started to work on a new tutorial for deploying a Shiny app on Hugging Face with Docker
So far, I have been able to containerize the shiny-express example and run it locally. The path from here to deployment on Hugging Face should be straightforward, and document the process on the below repo 👇🏼
Our new publication is out in Earth's Future, which compares changes in summer temperatures across the USA between observations and climate model large ensembles using explainable machine learning...
A new study suggests that the Atlantic overturning circulation AMOC “is on tipping course”
"It’s observational data from the South Atlantic which suggest the AMOC is on tipping course. Not the model simulation, which is just there to get a better understanding of which early warning signals work, and why."
If you are looking to analyze today's game results or the past season, you should check the Introduction to NFL Analytics with R by Bradley J.Congelio. The book covers the following topics:
✅ Introduction to NFL analytics with R
✅ Working with NFL data
✅ Data visualisation applications ❤️
✅ Analysis and modeling of NFL data
The book is available online for free, and a hard copy is available for purchase.
To achieve a better sample size, I'd highly appreciate if you could circulate the link to this survey in your own networks.
It's already been almost 9 years since the last user survey for these projects. Please help me/us to get more insights into your own experiences, your interests, hopes and pain points — allowing the projects and everyone involved to move forward more intentionally.
There're 15 questions here, with ~10 of them marked as mandatory. The main focal points are the matrices in the middle of the survey. Please also do use the final freeform comments box to share any further feedback you might have. Thank you very much for your interest, trust & taking the time to provide some much needed answers! 🙏
The survey is anonymous and will remain open until 23:59 (CET) on February 29, 2024. I will then share a public summary of the results on my Mastodon in the days following (do keep an eye on the #ThingUmbrella hashtag)...
Matthias Stahl started a beginner friendly video series, where he goes through nice little mini-projects and explains how to make responsive #dataviz with the perfect combo of svelte and d3 :)
His keynote will focus on "Intelligent Interfaces", where he explores new forms of #interaction enabled by #sensing technologies such as sound, light, electric fields, radio waves and #BioSignals.
The epic linguistic map came up in conversation at work today, so today is one of those days to regularly to pause and spend some time admiring this map of North American English dialects by Rick Aschmann:
"A dataset of 77,000+ (distinct) candidates across 57,000+ US elections for mayor, city council, school board, county executive, county legislature, sheriff, and prosecutor."
@kristinHenry@CedScherer I have no idea. All I know is it's not "the bad place" (yet?) and it has some good #dataviz folks there. But like I say... join us, or don't.. whatever. I'm still here and there. 🤷♂️
Deforestation poses a big risk to our planet’s health. As a big contributor to climate change and the cause of 10% of global warming, the loss of our forests due to human activity has dire consequences for the world and our future.
To highlight the devastating scale of forest depletion on our planet in the last few centuries, we created an experiment in the style of Hieronymus Bosch using global deforestation data from the year 1450 until today.
After multiple iterations (like this one: https://vimeo.com/909069416/de5d2df744?share=copy) and continuous improvements to the process, we’ve arrived at this final version you see in the first post.
With the help of AI tools we can showcase data on urgent topics like deforestation in a refreshing and visually striking way. We are thrilled by the possibilities offered by generative AI, and are eager to investigate new ways in which designers can incorporate its creative potential into their work.
Did you know that you can create stunning tables in Python? 🔢 📊
I used #MakeoverMonday data on Highest Paid Athletes to explore Plottable - an awesome #python library to customise tables. Really like the inbuilt graph options and how easy it is to display images. 🤩
"Most people are familiar with the large density centers around Hong Kong, Guangzhou, and Shanghai, but the concentration in central China is surprising. The cities of Chengdu and Chonqing, in the Sichuan Basin, are part of a massive population center."