basile @basilesimon@vis.social

This is my first public project with Svelte (https://svelte.dev/) and I'm really happy with how easy it is to get going with it.

It was called (ref needed) "the disappearing framework" and tbh I'm happy with how terse its reactivity is.

Come for the club laser intro, stay for @readelev@twitter.com and @OvaskaOvaska@twitter.com's look at @flightaware@twitter.com data and the collapsing air traffic.

reut.rs/3bGxBZ1

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?

https://forms.gle/mB4grDP9ckR5drdP8

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":
https://blog.basilesimon.fr/2019/10/06/brexit-machine-learning/

On this, from @albertocairo: http://www.thefunctionalart.com/2019/08/the-increasing-popularity-of-ternary.html

We also used ternaries to show how British MPs voted for/against the government (or abstained):
https://tmsnrt.rs/2XWp3qG

> Maths basics for computer science and machine learning.pdf

Me: oh cool, holiday read to catch up

PDF: 1,962 pages

ah.

Even after three weeks and 3,000 km of racing, Tour de France riders arrive on the finish line surprisingly close to each other.
Our graphical analysis: tmsnrt.rs/2yqPklL

out of the door very soon!