Gregor Aisch 🍍 is a user on You can follow them or interact with them if you have an account anywhere in the fediverse. If you don't, you can sign up here.

Gregor Aisch 🍍

Interesting observation about the possible "end of the conference era"

I wonder if this trend might be applying to vis conferences as well?

In case you're interested how the auto-detection of colorblind issues in Datawrapper works, I wrote it all down in an interactive blog post

New blog post! Does mastodon parse twitter meta tags? We'll see. Advice to the newish programmer:

Just published a new article on the use of "seriation" techniques to make patterns pop out of heatmaps!

Hey y'all, I am *very* excited to launch a new Datawrapper feature today:

We added an integrated color blindness simulation and *automated color checking*!

Here's the blog post explaining it all

Didn't know about this nice hack to get interactive graphics into Medium blog posts: put an iframe into JSfiddle and then embed it
(used here

btw, is Matthiew Daniels already in here somewhere? is now 500 strong!

Updated network. Thanks to the feedback by @RFon.

New data, invisible circles, lighter arrows, splined text sizes.

How active are the users?

From 454 accounts 120 wrote at least one Toot. 21 published more than 10 Toots. 7.5 Toots on average by the active Tooters (Mammuts?).

@gka @eagereyes @moritz @alper @scott Even k-anonymity (this grouping trick) can be broken

Privacy is, like, really effing hard.

Is it Strava's fault that people in sensitive areas are uploading their activities and unwittingly expose information about them?

Hey folks, I just joined the club. Looks like an awesome place! Thanks @scott for creating it. Looking forward to seeing what we can do here ...

I made a quick network visualization of all users.

Each follower of @scott is a node, each follow relationship is an arrow. The more followers an account has, the bigger it is. Color by modularity, position by ForceAtlas2.

If you want to visualize your own network, my quick python script is here:

I think I'm going to browse it mainly to get the R code for all the example charts in the book.

Like the labels in the Texas counties plot, I didn't even know you could do this with just one line of code in ggplot!