Visual data journalist @baskerhel@twitter.com describes a day of working for The Economist in their newsletter Off the Charts – and it's fascinating: view.e.economist.com/?qs=8bd09
Now I want to read the "typical days" of all good data vis designers out there.

Hi! I'm considering writing a book that helps people (like you?) create beautiful, easy-to-read .
What do you struggle with? What would be useful to read? Let me know so that I can make the book better for everyone. Here are nine questions I have: lisacmuth.typeform.com/to/B3Nh

I'd like to read & discuss a book by Colin Ware in the @datavisclub@twitter.com with y'all next. Which one should I choose?
1️⃣ the more famous "Information Visualization – Perception for Design, 4th edition (2019)"
2️⃣ the shorter "Visual Thinking for Information Design, 2nd edition (2021)"

For this week's Weekly Chart, I built a little to show weekly temperature ranges in Berlin. That was fun! Find the full how-to (incl. video) here: blog.datawrapper.de/span-chart

We published a new Data Vis Dispatch yesterday! It's our weekly collection of the best of small and big . Have a look: blog.datawrapper.de/data-vis-d

In the thread 🧵below, I show screenshots of the four visualization-heavy articles that impressed me the most this week:

Different extrapolations by German media ARD and ZDF during the past two hours.

▶︎ all parties: datawrapper.de/_/05AQr/ – the Greens have lost a few points.
▶︎ just SPD and CDU: datawrapper.de/_/mdDwQ/ – still close between them!

source: wahlrecht.de/news/2021/bundest

Different extrapolations by German media ARD and ZDF during the past two hours.

▶︎ all parties: datawrapper.dwcdn.net/05AQr/ –  the Greens have lost a few points.
▶︎ just SPD and CDU: datawrapper.de/_/mdDwQ/ – still close between them!

source: wahlrecht.de/news/2021/bundest

Just updated my portfolio and added lots of @Datawrapper@twitter.com visualizations I built in the past 3.5 years, with links to the original articles. (I'm especially happy with the "tooltip charts" I created in the past years!). Find them all here: lisacharlottemuth.com/projects

In case you missed it: Our Data Vis Dispatch from yesterday shows the best of big and small from the past week. Thanks to all the creators! Especially packed this week: Our "What else we found interesting" section. Have a look: blog.datawrapper.de/data-vis-d

New: My first Weekly Chart as Lisa Charlotte Muth! It's...
👉 a refresher on German politics of last 30 years
👉 a collection of odd-looking charts
👉 an analysis of which German party is the luckiest one

Have a look: blog.datawrapper.de/german-par

Public service announcement: I got married! To @JonathanMuth@twitter.com. And I decided to take on his last name: Muth. It's pronounced "moot".

So I'm not @lisacrost@twitter.com (Lisa Charlotte Rost) anymore, but @lisacmuth@twitter.com. (Sorry for all the dead links!)

Here's more: lisacharlottemuth.com/muth

New Data Vis Dispatch! Once again we collected the best of last week’s big and small : blog.datawrapper.de/data-vis-d

This week, @rosemintzers@twitter.com and I focused on the IPCC climate report – and the attempts of lots of newsrooms to rebuilt their charts. Let's compare them! 🧵

While I was hosting the @datavisclub@twitter.com yesterday, my coworker @rosemintzers@twitter.com published the latest Data Vis Dispatch we put together – with incredible graphics by @flowingdata@twitter.com, @correctiv_org@twitter.com, @nytgraphics@twitter.com, and others. Have a look: blog.datawrapper.de/data-vis-d

🚨 Work with us: We're looking for a developer who implements backend functionality that will get used by thousands of journalists, editors, and authors worldwide.
DM me if you have any questions about working at @Datawrapper@twitter.com! (Spoiler: It's great.) blog.datawrapper.de/datawrappe

Another week, another Data Vis Dispatch! It's the sixth one already that @rosemintzers@twitter.com and I put together, full with inspiration.

The main topics you all have visualized this week: Olympics and the heat. Have a look: blog.datawrapper.de/data-vis-d

New blog post! Your doesn't always need to be fancy. If you're creating good, simple charts, you should be proud of yourself. Here's why: blog.datawrapper.de/in-defense

What a week! So many of you created amazing big and small visualizations – about vaccinations, the flood in Europe, German polls, sports, urbanization, and more.
@rosemintzers@twitter.com and I collected them in our biggest Data Vis Dispatch yet: blog.datawrapper.de/data-vis-d

We just published our third Data Vis Dispatch with >20 of the best small and big projects from last week: blog.datawrapper.de/data-vis-d

Thanks to @rosemintzers@twitter.com for finding most of these gems, and thanks to newsrooms and individuals around the world for creating them! 👏👏👏

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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.