Visual media analysis showing how the Corona coverage grew over time in a German newspaper. Excellent work by @firstname.lastname@example.org https://twitter.com/laessr/status/1245633579775700998
. @aendrew wrote a GDPR "Subject Access Request" template:
Share far and wide and remember to be polite :)
I've SAR'ed companies that did employment background checks, as well as my previous mobile network operator. Very interesting indeed.
Please take part in the @DataVizSociety survey about its publishing on Medium.
We all benefit from open content and standards – why would we choose the walled garden of Medium to publish Nightingale?
Five years already since Chris Woods and I created Airwars, and what results were achieved: https://airwars.org/news-and-investigations/airwars-marks-five-years-of-tracking-civilian-harm/
We're struggling to make sense of the split in the Conservative Party over Brexit.
I fed 240 Brexit votes to t-SNE, a discovery machine learning algorithm. Here's what it "saw":
So happy the Data Vis Meetup Berlin is happening again: https://www.meetup.com/Data-Visualization-Berlin/events/264315597/ #visber
We also used ternaries to show how British MPs voted for/against the government (or abstained):
from birbsite, possibly news or politics-related
This explorable explanation by @KevinSimler@twitter.com about diffusion in networks is *so* unbelievably good — easy to understand, entertaining, thought-provoking, beautifully designed; everything.
Graphics editor at Reuters – lecturer at City uni
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