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?)
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/
I spent the past few months to learn more about colors, to finally get rid of the feeling that I'm bad with them. Here I tried to compress some of these learnings (there's more to come): https://blog.datawrapper.de/beautifulcolors/
And that's it! I just published the last part of the series on colorblindness 🎉
Ten of you, incl. cartographers @firstname.lastname@example.org & Mark Harrower, and our Datawrapper CEO @DavidKokkelink@twitter.com told me how it is to be colorblind.
It's enlightening. Read it here: https://blog.datawrapper.de/colorblindness-part3/
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/
In 5min, the Data Vis Book Club (@email@example.com ) starts again 🎉
This time with the great @firstname.lastname@example.org – we will discuss his "Data Visualisation Handbook" here: https://notes.datawrapper.de/p/bookclub-andykirk
Even if you haven't read it, come by and ask Andy questions! https://blog.datawrapper.de/bookclub-andykirk
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.