Yay, it's out: I just published the 2nd part of the @Datawrapper@twitter.com colorblindness series, showing ways to visualize data well for colorblind readers.

Expect glyphs, patterns, blue, orange, and me criticizing a popular colorblind-safe color palette: blog.datawrapper.de/colorblind

In the 60 countries with the most COVID-19 cases in total, cases are up: These countries reported more cases in the last seven days than in the week before.

That's crazy and sad and frustrating. So here's an overview. It will update daily on blog.datawrapper.de/coronaviru

How many of the data visualizations you created are colorblind-safe? All? 90% at least? Hopefully?

Personally, I don't know.

I wrote a blog post to make you (and me!) care more. It's the first article in a 3-part series on colorblindness. Find it here: blog.datawrapper.de/colorblind

Dear peeps, let's discuss: Is it ok to differentiate between categories with lightness, or should we use hues?

Different data viz book authors seem to have different opinions. 1/6

I don't think this chart is particularly useful to understand the data, so I won't include it in our chart collection (blog.datawrapper.de/coronaviru). But I do think it offers an interesting perspective on China.

You can get some hover tooltips here: datawrapper.de/_/0j5Tg/

Impressive comparison between Bloomberg's ad money (green) and other candidates' ad money (darker "on top") by @kevinschaul@twitter.com, @KevinUhrm@twitter.com & @anu_narayan@twitter.com for the Washington Post: washingtonpost.com/graphics/20
But do the non-Bloomberg rectangles on top still count as Bloomberg money? 🤔

Great little geo tool by @hnshck@twitter.com: Move a GeoJSON to compare its size to familiar places, then download its new position (e.g. to put it in Datawrapper locator maps): hanshack.com/geotools/reprojec

Here's New York City compared to Berlin:

For the next session of our Data Vis Book Club (@datavisclub@twitter.com), we want to read 5-8 of the most important & open access papers for practitioners who communicate data. Any suggestions? cc @FILWD@twitter.com @eagereyes@twitter.com @sharoz@twitter.com @jeffrey_heer@twitter.com @domoritz@twitter.com

I want to improve my writing.

Who of you can recommend freelance editors who could go through English articles I've written, together with me? I'm interested in feedback on structure, understandability, wording, these things. Preferably in Berlin, but Skype works, too. Thanks!

Thanks to @sto3psl@twitter.com – who has worked on our API for the past few months – and @driven_by_data@twitter.com, I finally understand what an API does! (Or at least what the Datawrapper API does.)

So I'm a bit proud of this visual explanation in our announcement blog post: blog.datawrapper.de/new-api-Da

I have a great time at (Beyond Tellerrand: beyondtellerrand.com/events/be)

Talks for web designers that show almost no code, but ponder on communities, empathy, mental models, sculptures. It really goes beyond. I'd love to visit more conferences with this concept.

20 days left to support @rawgraphs@twitter.com!

If you don't know this excellent tool yet: You'll make better with it. Try it out: rawgraphs.io/

If you know RAW already: You know you've made better data viz thanks to it. So give them some money: indiegogo.com/projects/rawgrap

A few days ago, my coworker @sjockers@twitter.com told me that you can MOVE the screenshot selection – Command+Shift+4 – when you keep SPACE pressed on a Mac. I'm still blown away by that.

Until the end of August, the @datavisclub@twitter.com will work through "Observe, Collect, Draw!" by @stefpos@twitter.com & @giorgialupi@twitter.com. I wrote about why you should join us here: blog.datawrapper.de/datavis-bo

I thought it's fun to document my process in the following tweets:

I just came home after two weeks of vacation – and immediately had the pleasure to read two great @Datawrapper@twitter.com Weekly Charts by @sjockers@twitter.com & @sto3psl@twitter.com:

Week 1: blog.datawrapper.de/weekly-cha
Week 2: blog.datawrapper.de/weekly-cha

Makes me so happy to read them. Thank you, Simon and Fabian!

Arrow plots with tooltips 😍 I think the visual design could be a bit better executed (colors, typo, symbols), but I'm in love with the idea. By @NatGeo@twitter.com, via @flowingdata@twitter.com: nationalgeographic.com/foodfea

A beautiful venue, inspiring talks, awesome sketchnotes (thank you, @apilapepita@twitter.com!), meeting lots of new people – what a great, great @vizknowledge@twitter.com conference 2019 here in Finland! Thanks for having me, and thanks for the flawless organization.

Happening right now: A discussion about "Factfulness", hosted by @vizowl@twitter.com. With lots of awesome opinions. Watch or participate here: notes.datawrapper.de/p/bookclu

Right now in the @datavisclub@twitter.com: We discuss @HansRosling@twitter.com's "Factfulness" and got joined by @jasperheeffer@twitter.com from @Gapminder@twitter.com, who asks us an important question.

If you have answers & ideas, come here: notes.datawrapper.de/p/bookclu

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vis.social

vis.social is an open social platform for creative people, especially anyone in sciArt, data, visualization, creative coding, and related arts and research. English is the common language of the instance.