I don't think this chart is particularly useful to understand the data, so I won't include it in our #COVID19 chart collection (https://blog.datawrapper.de/coronaviruscharts/). But I do think it offers an interesting perspective on China.
You can get some hover tooltips here: https://www.datawrapper.de/_/0j5Tg/
The deadline is 🚨 this Sunday 🚨: Apply to learn from the wonderful @ElanaEllesce@twitter.com and/or me during an internship at the charting tool @Datawrapper@twitter.com (we build charts! we enable others to build charts, too!). Learn more here: https://blog.datawrapper.de/datawrapper-hiring-intern-customer-support-blog/
Impressive comparison between Bloomberg's ad money (green) and other candidates' ad money (darker "on top") by @firstname.lastname@example.org, @KevinUhrm@twitter.com & @email@example.com for the Washington Post: https://www.washingtonpost.com/graphics/2020/politics/bloomberg-ad-spending-scale/
But do the non-Bloomberg rectangles on top still count as Bloomberg money? 🤔
Work with us! We (@Datawrapper@twitter.com) are looking for an intern who learns from our great @ElanaEllesce@twitter.com how to help users to create #dataviz *and/or* who writes articles with me.
€1,600/month, >3 months, Berlin only.
Not sure if you're a good fit? 👉 DM me!
Great little geo tool by @firstname.lastname@example.org: Move a GeoJSON to compare its size to familiar places, then download its new position (e.g. to put it in Datawrapper locator maps): https://hanshack.com/geotools/reprojector/
Here's New York City compared to Berlin:
Berlin, come join me at the Data Vis Meetup today at 7pm to hear the great @email@example.com talk about historical data visualizations!
🚨We will meet at ZEIT Online (Anhalter Bahnhof), not the Infographics Group as planned. See you there! #visber https://www.meetup.com/Data-Visualization-Berlin/events/268447673/
We're happy to finally announce a new #visber meetup here in Berlin. Join us for an evening with the great @firstname.lastname@example.org to talk about historical #dataviz! https://www.meetup.com/Data-Visualization-Berlin/events/268447673/
For the next session of our Data Vis Book Club (@email@example.com), we want to read 5-8 of the most important & open access #dataviz papers for practitioners who communicate data. Any suggestions? cc @FILWD@twitter.com @firstname.lastname@example.org @email@example.com @firstname.lastname@example.org @email@example.com
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/
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.