πŸŽ‰πŸŽ‰πŸŽ‰ I'm super happy to introduce you to my new website: lisacharlotterost.de/

β†’ all the talks I've given
β†’ all articles I've written (incl. the best @Datawrapper@twitter.com ones!)
β†’ some I designed

Here I explain why & how I built it: lisacharlotterost.de/newsite

Until the end of August, the @datavisclub@twitter.com will work through "Observe, Collect, Draw!" by @stefpos@twitter.com & @giorgialupi@twitter.com. I wrote about why you should join us here: blog.datawrapper.de/datavis-bo

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 πŸ€”

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: blog.datawrapper.de/weekly-cha


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 ?


I just came home after two weeks of vacation – and immediately had the pleasure to read two great @Datawrapper@twitter.com Weekly Charts by @sjockers@twitter.com & @sto3psl@twitter.com:

Week 1: blog.datawrapper.de/weekly-cha
Week 2: blog.datawrapper.de/weekly-cha

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: 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 @flowingdata@twitter.com: nationalgeographic.com/foodfea

A beautiful venue, inspiring talks, awesome sketchnotes (thank you, @apilapepita@twitter.com!), meeting lots of new people – what a great, great @vizknowledge@twitter.com conference 2019 here in Finland! Thanks for having me, and thanks for the flawless organization.

Happening right now: A discussion about "Factfulness", hosted by @vizowl@twitter.com. With lots of awesome opinions. Watch or participate here: notes.datawrapper.de/p/bookclu

Right now in the @datavisclub@twitter.com: We discuss @HansRosling@twitter.com's "Factfulness" and got joined by @jasperheeffer@twitter.com from @Gapminder@twitter.com, who asks us an important question.

If you have answers & ideas, come here: notes.datawrapper.de/p/bookclu

Even if you don't speak German, have a look at that beauty by @zeitonline@twitter.com: zeit.de/politik/deutschland/20

It has everything:
😍 animated maps with annotation
😍 small multiples
😍 zoomed in line charts
😍 beautiful dot circles

The best interactive story I've seen lately.

I had some fun looking for examples of callout lines in news graphics for a new post: blog.datawrapper.de/locatormap Thanks to @nytgraphics@twitter.com, @ReutersGraphics@twitter.com, @washingtonpost@twitter.com graphics team and especially @BBGVisualData@twitter.com for using so many great swoopy & straight lines pointing to things!

That was a fun chart to make in @Datawrapper@twitter.com! (Kudos to @rcbregman@twitter.com's book for the original.) blog.datawrapper.de/weeklychar

Two great hackathons are happening this weekend in Germany:
– Berlin: Join me in using elections data to better inform voters: datengui.de/en/wahlsalon / by @datenguide@twitter.com & @codeforbe@twitter.com
– Munich: Design data from cultural institutions: xing.com/events/coding-vinci-s by @codingdavinci@twitter.com

Yesterday's Data Vis Book Club (@datavisclub) about RJ Andrews' "Info We Trust" was really fun. Thanks to @infowetrust for answering our questions, and to everyone who participated in the discussion! It's all preserved here: notes.datawrapper.de/p/bookclu

Shaping up to be a solid month of March for :datavizcamp: πŸ“–. Excited for the book club meeting on Tuesday, organized by @lisacrost


the result is sort of interesting. for some months, like July and August the temp. increase really has picked up the pace in the late 1960s. But for October the increases seem to be a lot more "linear". Might be just some Loess artifacts.

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→ anyone else data- or visualization-adjacent If you are curious about the world and creativity, you are welcome here. Learn more.