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Pretty cool to see the process by which such charts are made

And we have some other, too. Hexagons ⬡ or bubbles ○, we like them all 😀 www.datajournalism.studio/a/elections-...

Yes, a "donut" case is usually a tricky one, there is always a trade-off. I went with more simplicity (and keeping the state as one) against more correct geo representation. It is a similar case with Niederösterreich and Vienna. NÖ should be all around, but there just not enough people🤷.

Beautiful representation, though the trend in German politics is spooky.

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Also a great example of using helper visualisations in the process of creating a visualisation.

This is great! Is there any reason you can't do this as well for the Zweitstimmen map as well (with the dots for for each district vote shares shaded in the same way as the geographical map)?

Before running the network layout simulation on this, we marked all the outer districts as fixed. This allows the final layout to stay "in shape" of the country as a whole, which is important for readers to recognize their country. We used the TopoJSON arcs to automatically find these districts.

Toll, dass sich das weiterentwickelt mit der Diskussion um die letzten Wahlen! Auch nicht schlecht: die Realität ist diverser.

Really interesting process. Thanks for sharing!

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Lovely work!

Very nice work :). Thank you so much!

lol, clustering is not hard to encode. neighbors are.

You’re telling me the fascists are all former communists.