While I was hosting the @email@example.com yesterday, my coworker @firstname.lastname@example.org published the latest Data Vis Dispatch we put together – with incredible graphics by @email@example.com, @firstname.lastname@example.org, @email@example.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 @firstname.lastname@example.org 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.
@email@example.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 @firstname.lastname@example.org 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/
I'm excited about this one: From today on, @email@example.com and I will publish a collection of the most beautiful (news) #dataviz we can find. Every Tuesday.
Here's the first edition: https://blog.datawrapper.de/data-vis-dispatch-june-22-2021/
If you're interested in #dataviz in journalism, here are three active communities to join:
👉 the new @firstname.lastname@example.org Discord (http://buff.ly/3cWFIUS)
👉 @email@example.com Slack (https://newsnerdery.org/)
👉 German: @firstname.lastname@example.org IG Datenjournalismus Slack (https://netzwerkrecherche.org/ueber-uns/vorstand/fachgruppe-datenjournalismus/)
My face is on YouTube! For @Datawrapper@twitter.com, I started to record video tutorials: https://www.youtube.com/channel/UCGRdsZb9YD3GW35G27g0o0g
👉 The great sound logo is by the one and only @JonathanMuth@twitter.com
👉 And the intro by our 🤩 designer @email@example.com
Subscribe to learn about new videos when we upload them!
We're hiring – again! Join us if you want to
👉 help data journalists at e.g. @FiveThirtyEight@twitter.com, @firstname.lastname@example.org, @email@example.com, @firstname.lastname@example.org to get their job done
👉 work together with great people, especially with the super-smart @ElanaEllesce@twitter.com
👉 enjoy flexible work hours
Data Sketches really is a *big* book – and what an achievement, @NadiehBremer@twitter.com & @email@example.com!
Thank you for the hundreds (thousands?) of hours you put into the @firstname.lastname@example.org projects & the book itself, so that we can enjoy it. I'm looking forward to discussing it in the @email@example.com!
I'm excited to finally share with you a four-part blog post series I've been working on in the last few months.
They all answer one question:
Which color scale should you use for which data?
Part 1 gives the overview I always wished I could link to:
What a great weekend to apply to this job at @Datawrapper@twitter.com!(We'll have a first look at the applications on Tuesday.)
Here's what you'll work on and why you should consider working for us: https://blog.datawrapper.de/datawrapper-hiring-writer/
Yesterday we had our 10th (10th! 🎉) book club discussion at the Data Vis Book Club (@firstname.lastname@example.org). That was fun – thanks to everyone who joined!
You want to participate next time? Help us decide which book we should discuss: https://forms.gle/aCK441XQX1g84mHm7
Come work with me! We're looking for a writer (remote/Berlin) who helps people make the most out of @Datawrapper@twitter.com.
Be surrounded by #dataviz fans, get an education budget and a great work-life balance.
Any questions? My DMs are open.
Last Sunday, I posted a data vis crossword puzzle – and I just published the solution.
👉I explain every one of the 60 clues,
👉tell you who won,
👉and talk about how I think that whole crossword adventure went.
I wrote the @Datawrapper@twitter.com Weekly Chart today, inspired by https://wcd.fyi/features/senate-generations/ (first pic; I learned about it thanks to @email@example.com).
Its author said it's unfun to calculate median ages for each congress. So I did exactly that: https://blog.datawrapper.de/age-of-us-senators-charts/
What's your favorite Flash #dataviz? (....we should take a video/screenshot of now before it's too late?)
Creating & writing about dataviz for Datawrapper. Data Vis Book Club organizer. Fan of numbers, systems & overviews. I believe in maps, not the territory.
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.