Lisa Charlotte Muth @lisacrost@vis.social

Visual data journalist @baskerhel@twitter.com describes a day of working for The Economist in their newsletter Off the Charts – and it's fascinating: https://view.e.economist.com/?qs=8bd0940a089edb40f00f2bf464231fb758c260fe68c93902998dd8d93e4302b77b047085ef352b469f619b909d90d6b5b5b962dcffe5b2997415d71a8c3096f99be6dac8574fb4e879771edbd8388d47
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 #dataviz.
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: https://lisacmuth.typeform.com/to/B3NhU95f

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 #dataviz to show weekly temperature ranges in Berlin. That was fun! Find the full how-to (incl. video) here: https://blog.datawrapper.de/span-chart-range-value-overlays-in-column-charts/

We published a new Data Vis Dispatch yesterday! It's our weekly collection of the best of small and big #dataviz. Have a look: https://blog.datawrapper.de/data-vis-dispatch-october-12-2021/

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

Different #btw21 extrapolations by German media ARD and ZDF during the past two hours.

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

source: https://www.wahlrecht.de/news/2021/bundestagswahl-2021.html#prognosen-hochrechnungen

Different #btw21 extrapolations by German media ARD and ZDF during the past two hours.

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

source: https://www.wahlrecht.de/news/2021/bundestagswahl-2021.html#prognosen-hochrechnungen

Election day is #dataviz day 🎉
Only bars so far in the German election #btw21. The first maps are expected around 8pm. Some URLs to watch:

👉 https://www.washingtonpost.com/elections/election-results/world/germany-election-results/
👉https://www.bloomberg.com/graphics/2021-german-election-results/
👉https://www.zeit.de/politik/deutschland/2021-09/wahlergebnisse-bundestagswahl-2021-wahlkreise-karte-deutschland-live
👉https://www.nzz.ch/visuals/bundestagswahl-2021-alle-ergebnisse-der-wahl-im-ueberblick-ld.1645826
👉https://interaktiv.morgenpost.de/bundestagswahl-2021-umfragen-ergebnisse-wahlkarte/

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: https://lisacharlottemuth.com/projects

In case you missed it: Our Data Vis Dispatch from yesterday shows the best of big and small #dataviz from the past week. Thanks to all the creators! Especially packed this week: Our "What else we found interesting" section. Have a look: https://blog.datawrapper.de/data-vis-dispatch-september-7-2021/

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: https://blog.datawrapper.de/german-party-polls-vs-election-results/

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: https://lisacharlottemuth.com/muth

New Data Vis Dispatch! Once again we collected the best of last week’s big and small #dataviz: https://blog.datawrapper.de/data-vis-dispatch-august-10-2021/

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: https://blog.datawrapper.de/data-vis-dispatch-august-3-2021/

🚨 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.) https://blog.datawrapper.de/datawrapper-hiring-backend-developer/

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

The main topics you all have visualized this week: Olympics and the heat. Have a look: https://blog.datawrapper.de/data-vis-dispatch-july-27-2021/

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

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: https://blog.datawrapper.de/data-vis-dispatch-july-20-2021/

We just published our third Data Vis Dispatch with >20 of the best small and big #dataviz projects from last week: https://blog.datawrapper.de/data-vis-dispatch-july-6-2021/

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

I built a few charts to visualize that compared with the '50s, Berlin gets 32 more >20°C days each year: https://blog.datawrapper.de/days-per-year-above-temperature-climate-berlin/