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 @firstname.lastname@example.org).
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?)
I gave a talk today called "What to consider when considering data vis rules" at the (very enjoyable!) @GraphicHunters@twitter.com SHOW conference.
Here's the transcript: https://lisacharlotterost.de/datavisrules
Here are the slides: https://github.com/lisacharlotterost/talk-slides
And here's the 40min talk in 20sec:
Very much looking forward to the SHOW conference this Friday & Saturday, organized by @GraphicHunters@twitter.com, featuring amazing speakers. I'll give a talk, too, about rules – the conference topic –, starting at 12.45 CET on Friday.
Not too late to sign up: https://graphichuntersshow.nl/
Yay, it's out: I just published the 2nd part of the @Datawrapper@twitter.com colorblindness series, showing ways to visualize data well for colorblind readers.
Expect glyphs, patterns, blue, orange, and me criticizing a popular colorblind-safe color palette: https://blog.datawrapper.de/colorblindness-part2/
In the 60 countries with the most COVID-19 cases in total, cases are up: These countries reported more cases in the last seven days than in the week before.
That's crazy and sad and frustrating. So here's an overview. It will update daily on https://blog.datawrapper.de/coronaviruscharts/
How many of the data visualizations you created are colorblind-safe? All? 90% at least? Hopefully?
Personally, I don't know.
I wrote a blog post to make you (and me!) care more. It's the first article in a 3-part series on colorblindness. Find it here: https://blog.datawrapper.de/colorblindness-part1/
Dear #dataviz peeps, let's discuss: Is it ok to differentiate between categories with lightness, or should we use hues?
Different data viz book authors seem to have different opinions. 1/6
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/
Impressive comparison between Bloomberg's ad money (green) and other candidates' ad money (darker "on top") by @email@example.com, @KevinUhrm@twitter.com & @firstname.lastname@example.org 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? 🤔
Great little geo tool by @email@example.com: 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:
For the next session of our Data Vis Book Club (@firstname.lastname@example.org), 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 @email@example.com @firstname.lastname@example.org @email@example.com @firstname.lastname@example.org
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#/
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.