Visual data journalist describes a day of working for The Economist in their newsletter Off the Charts – and it's fascinating:
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:

I'd like to read & discuss a book by Colin Ware in the 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:

We published a new Data Vis Dispatch yesterday! It's our weekly collection of the best of small and big . Have a look:

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: – the Greens have lost a few points.
▶︎ just SPD and CDU: – still close between them!


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

▶︎ all parties: –  the Greens have lost a few points.
▶︎ just SPD and CDU: – still close between them!


Just updated my portfolio and added lots of 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:

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:

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:

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

So I'm not (Lisa Charlotte Rost) anymore, but (Sorry for all the dead links!)

Here's more:

New Data Vis Dispatch! Once again we collected the best of last week’s big and small :

This week, 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 yesterday, my coworker published the latest Data Vis Dispatch we put together – with incredible graphics by,,, and others. Have a look:

🚨 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! (Spoiler: It's great.)

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

The main topics you all have visualized this week: Olympics and the heat. Have a look:

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:

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. and I collected them in our biggest Data Vis Dispatch yet:

We just published our third Data Vis Dispatch with >20 of the best small and big projects from last week:

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

Show older 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.