An amazing #datavisualisation about food. What kind of foods are unhealthy, and what kind of foods have a big environmental impact?
From the paper: "Multiple health and environmental impacts of foods" by Michael A Clark, Marco Springmann, Jason Hill, and David Tilman (https://www.pnas.org/content/116/46/23357)
On to a start of a day full of Data Visualisation for the public sector!
Serving citizens through better data visualisation :-)
For Chartable, the @Datawrapper@twitter.com blog, I visualized voter turnout at the #EUelections2019 and wrote about my chart choices. https://blog.datawrapper.de/weekly-chart-eu-election-turnout/
I really like this vote help system for the upcoming EU elections! It's created by Jan Willem Tulp: http://2019vote.eu/
Get an overview of what each of the parties opinion is on 22 statements. Where do they differ, where are they the same, which combinations you would support are supported by these parties, etc.
Wow, these visualisations by Nadieh Bremer about constellations across cultures are wonderful!
Hi, at the opening page of vis.social, do you show the global timeline on purpose? It might be more interesting to show the local timeline. Difference is somewhat like this, where utwente has the globlal, and ocr.social has the local landing page:
What do you think about this visualisation in the NRC? ;)
Data Visualisation @ University of Twente!
vis.social is an open social platform for creative people, especially anyone in sciArt, data, visualization, creative coding, and related arts and research. English is the common language of the instance.