And that's it! I just published the last part of the series on colorblindness 🎉

Ten of you, incl. cartographers & Mark Harrower, and our Datawrapper CEO told me how it is to be colorblind.

It's enlightening. Read it here:

Yay, it's out: I just published the 2nd part of the 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:

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

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:

In 5min, the Data Vis Book Club ( ) starts again 🎉
This time with the great – we will discuss his "Data Visualisation Handbook" here:

Even if you haven't read it, come by and ask Andy questions!

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 ( But I do think it offers an interesting perspective on China.

You can get some hover tooltips here:

I created some charts, maps & tables that show the numbers in ...more relative terms. I'm curious what you all think:

👉 Charts I should still build?
👉 Charts I should remove because they're irresponsible?
👉 Data sources I should consider?

The deadline is 🚨 this Sunday 🚨: Apply to learn from the wonderful and/or me during an internship at the charting tool (we build charts! we enable others to build charts, too!). Learn more here:

Impressive comparison between Bloomberg's ad money (green) and other candidates' ad money (darker "on top") by, & for the Washington Post:
But do the non-Bloomberg rectangles on top still count as Bloomberg money? 🤔

Work with us! We ( are looking for an intern who learns from our great how to help users to create *and/or* who writes articles with me.

€1,600/month, >3 months, Berlin only.
Not sure if you're a good fit? 👉 DM me!

Great little geo tool by Move a GeoJSON to compare its size to familiar places, then download its new position (e.g. to put it in Datawrapper locator maps):

Here's New York City compared to Berlin:

Berlin, come join me at the Data Vis Meetup today at 7pm to hear the great talk about historical data visualizations!

🚨We will meet at ZEIT Online (Anhalter Bahnhof), not the Infographics Group as planned. See you there!

We're happy to finally announce a new meetup here in Berlin. Join us for an evening with the great to talk about historical !

For the next session of our Data Vis Book Club (, we want to read 5-8 of the most important & open access papers for practitioners who communicate data. Any suggestions? cc

I prepared 240 slides of training material for you all, incl. detailed speaker notes, in case you want to teach Datawrapper – or learn how to use it! (Thanks,, for going through all of them and correcting them. You saved me a lot of work.)

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 – who has worked on our API for the past few months – and, 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:

I have a great time at (Beyond Tellerrand:

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.

Show more 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.