Last week's #weeknotes: a people week – is it the new normal?
In sad news: 👋 to my old @Scaleway@twitter.com C1 home 😪
(if you're publishing #weeknotes say hi!)
So, so chuffed to have contributed a chapter to the updated version of the Data Journalism Handbook, published by Amsterdam University Press
Visual media analysis showing how the Corona coverage grew over time in a German newspaper. Excellent work by @email@example.com 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):
Freelance dataviz, journalism, technologist. Ex graphics editor Reuters Graphics, The Times, BBC News Labs.
vis.social is an open social platform for creative people, especially anyone in SciArt, SciComm, data, visualization, creative coding, and related arts and research. English is the common language of the instance.