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, @firstname.lastname@example.org, for going through all of them and correcting them. You saved me a lot of work.) https://blog.datawrapper.de/datawrapper-training-materials-for-workshops/
Thanks to @email@example.com – who has worked on our API for the past few months – and @firstname.lastname@example.org, 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: https://blog.datawrapper.de/new-api-Datawrapper-chart-creation-automation/
I have a great time at #btconf (Beyond Tellerrand: https://beyondtellerrand.com/events/berlin-2019/schedule/Friday)
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 #dataviz conferences with this concept.
20 days left to support @email@example.com!
If you know RAW already: You know you've made better data viz thanks to it. So give them some money: https://www.indiegogo.com/projects/rawgraphs-2-0-a-web-app-for-data-visualization#/
New article! I wrote down the Excel techniques & formulas I use the most to clean up data sets (so that I can use them for #dataviz). Which techniques are you using all the time? Which ones did I miss? Which ones should I add? https://blog.datawrapper.de/prepare-and-clean-up-data-for-data-visualization/
Who wants to become my coworker? We're twelve people who help the world create better #dataviz. You could be one of us: https://blog.datawrapper.de/datawrapper-hiring-vector-export-developer/
What are your favorite tiny tools when working with data?
Here are three examples:
→ http://ucbvislab.github.io/d3-deconstructor/ to get the data out of d3 visualizations
→ https://shancarter.github.io/mr-data-converter/ convert CSV to JSON
→ https://countries.zeto.io input country name, output country codes (by @firstname.lastname@example.org)
Today is the day! #visber Berliners, I'm very much looking forward to seeing you there in 2 hours: https://www.meetup.com/Data-Visualization-Berlin/events/264315597/
So happy the Data Vis Meetup Berlin is happening again: https://www.meetup.com/Data-Visualization-Berlin/events/264315597/ #visber
🤑 Weekly Chart! For the Datawrapper blog I wrote a thing about global warming, capitalism, and log scales. https://blog.datawrapper.de/weekly-chart-co2-per-capita-consumption-vs-emission/
Until the end of August, the @email@example.com will work through "Observe, Collect, Draw!" by @firstname.lastname@example.org & @email@example.com. I wrote about why you should join us here: https://blog.datawrapper.de/datavis-bookclub-stefanie-posavec-giorgia-lupi-observe-collect-draw/ #observecollectdraw #deardata
I thought it's fun to document my process in the following tweets:
I built a Datawrapper chart that doesn't look like a Datawrapper chart anymore 🤔
This is also the last Weekly Chart that I wrote...weekly. Starting next week, all of us start charting & writing. I explain the reasons here: https://blog.datawrapper.de/weekly-chart-why-you-will-hear-more-from-other-datawrapper-employees/
🚨 JOB ALERT 🚨
Hi! Do you want to work with me every single day? (Well, 4 days a week.) Do you want to live in a world in which more people create beautiful charts? Do you like improving metrics, testing, and writing about #dataviz?
New blog post! In which I criticize an Economist chart, and then feel bad for criticizing it: https://blog.datawrapper.de/weekly-chart-greenland-ice-melting-global-warming-2019/
I just came home after two weeks of vacation – and immediately had the pleasure to read two great @Datawrapper@twitter.com Weekly Charts by @firstname.lastname@example.org & @email@example.com:
Makes me so happy to read them. Thank you, Simon and Fabian!
After more than a year (!), I finally wrote another episode of the "What to consider..."-series. This time I talk about the do's and don'ts of using tables within articles: https://blog.datawrapper.de/tables/
Arrow plots with tooltips 😍 I think the visual design could be a bit better executed (colors, typo, symbols), but I'm in love with the idea. By @NatGeo@twitter.com, via @firstname.lastname@example.org: https://www.nationalgeographic.com/foodfeatures/diet-similarity/
Creating & writing about dataviz for Datawrapper. Data Vis Book Club organizer. Fan of numbers, systems & overviews. I believe in maps, not the territory.
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