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: lisacharlotterost.de/datavisru

Here are the slides: github.com/lisacharlotterost/t

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: graphichuntersshow.nl/

Thanks to everyone who helps to create result pages for their newsrooms, especially during these times. It's very exciting to see them go live.

Let's collect this goodness.

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): blog.datawrapper.de/beautifulc

And that's it! I just published the last part of the series on colorblindness 🎉

Ten of you, incl. cartographers @wesleytjones@twitter.com & Mark Harrower, and our Datawrapper CEO @DavidKokkelink@twitter.com told me how it is to be colorblind.

It's enlightening. Read it here: blog.datawrapper.de/colorblind

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: blog.datawrapper.de/colorblind

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 blog.datawrapper.de/coronaviru

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: blog.datawrapper.de/colorblind

In 5min, the Data Vis Book Club (@datavisclub@twitter.com ) starts again 🎉
This time with the great @visualisingdata@twitter.com – we will discuss his "Data Visualisation Handbook" here: notes.datawrapper.de/p/bookclu

Even if you haven't read it, come by and ask Andy questions! blog.datawrapper.de/bookclub-a

Dear 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 chart collection (blog.datawrapper.de/coronaviru). But I do think it offers an interesting perspective on China.

You can get some hover tooltips here: datawrapper.de/_/0j5Tg/

I created some charts, maps & tables that show the numbers in ...more relative terms. I'm curious what you all think:

👉 Charts I should still build?
👉 Charts I should remove because they're irresponsible?
👉 Data sources I should consider?

blog.datawrapper.de/coronaviru

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: blog.datawrapper.de/datawrappe

Impressive comparison between Bloomberg's ad money (green) and other candidates' ad money (darker "on top") by @kevinschaul@twitter.com, @KevinUhrm@twitter.com & @anu_narayan@twitter.com for the Washington Post: washingtonpost.com/graphics/20
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 *and/or* who writes articles with me.

€1,600/month, >3 months, Berlin only.
Not sure if you're a good fit? 👉 DM me!
blog.datawrapper.de/datawrappe

Great little geo tool by @hnshck@twitter.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): hanshack.com/geotools/reprojec

Here's New York City compared to Berlin:

Berlin, come join me at the Data Vis Meetup today at 7pm to hear the great @srendgen@twitter.com talk about historical data visualizations!

🚨We will meet at ZEIT Online (Anhalter Bahnhof), not the Infographics Group as planned. See you there! meetup.com/Data-Visualization-

We're happy to finally announce a new meetup here in Berlin. Join us for an evening with the great @srendgen@twitter.com to talk about historical ! meetup.com/Data-Visualization-

For the next session of our Data Vis Book Club (@datavisclub@twitter.com), we want to read 5-8 of the most important & open access papers for practitioners who communicate data. Any suggestions? cc @FILWD@twitter.com @eagereyes@twitter.com @sharoz@twitter.com @jeffrey_heer@twitter.com @domoritz@twitter.com

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vis.social

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.