I wrote about something new: typography for data vis! When should you use ᴜᴘᴘᴇʀᴄᴀꜱᴇ in your charts? 𝗯𝗼𝗹𝗱? narrow and thin fonts? lining numbers? multiplexed? 𝚖𝚘𝚗𝚘𝚜𝚙𝚊𝚌𝚎 and 𝐬𝐞𝐫𝐢𝐟 𝐭𝐲𝐩𝐞𝐟𝐚𝐜𝐞𝐬?
Find out here: blog.datawrapper.de/fonts-for-

My latest @datawrapper@twitter.com blog post is about the *interpolation* of choropleth maps (or heat maps!) – what it is, which types exist, and why the type you choose matters so much for what your readers take away from your map.
Read it here: blog.datawrapper.de/interpolat

If you have a job in journalism, you should know about @source@twitter.com & their great
👉 blog: source.opennews.org/
👉 community calls: opennews.org/what/community/ca
👉 conferences: srccon.org/

Help these smart, lovely people with your opinion: source.opennews.org/articles/s

Last call: Come work with me and the great @rosemintzers@twitter.com at @Datawrapper@twitter.com! You still have until *next Sunday, July 17* to apply as a
✏️ Data Vis Writer: datawrapper.de/vacancy/data-vi
🗣 Data Vis Evangelist: datawrapper.de/vacancy/data-vi
My DMs are open in case you have any questions.

Little color trick: When you feel like your colors don't harmonize with your background colors, try to
1. overlay your colors with the background color
2. choose blend mode "hue"
3. play around with the opacity until you're happy

Here's how to do that in Figma:

That's exciting: I'll give a 4.5h workshop about colors in at on Sunday, May 8th – my most in-depth color workshop yet!

Join us for lots of hopefully useful information (and help me to build a giant data vis color wheel): eventbrite.com/e/rainbow-unico

The great @DataToViz@twitter.com and @Elijah_Meeks@twitter.com will be happy to hear that! I really learned to appreciate this tool freshly – or rather: even more – while working on the article.

🎉 It's finally out: My guide on how to create a fixed color palette for in organizations! I’ve never worked longer on and interviewed more people for an article: blog.datawrapper.de/colors-for

Thanks to all the graphic reporters who map what's going on in Ukraine on this sad day.
🧵 Here's a thread of their maps. My screenshots will be outdated soon, so click the links for the updated versions. If you know of other sources, add them.

🎉 New blog post! How can you get from the 15 colors in your visualization to a less overwhelming (and more accessible!) five? Or one?
I wrote down a few ideas: blog.datawrapper.de/10-ways-to

I created this image a week ago, but keep thinking about it. The charts in each column are exactly the same, just the background color is different.

I created this image a week ago, but keep thinking about it. The charts in each row are exactly the same, just the background color is different.

In three hours, I'll give an @OutlierConf@twitter.com (outlierconf.com/) unconference session about creating color palettes for data vis style guides (yep, that's a niche topic). Are you about to create a data vis style guide, in the middle of it, or did so recently? Join me!

I gave a @GraphicHunters@twitter.com workshop on "colors in " yesterday, which was so much fun – thanks to everyone who attended! Here are a few of my slides:

New blog post! As part of the research on my upcoming books on colors in , I wrote about what's wrong with the WCAG color contrast checks that lots of organizations use – and how data vis could change once new guidelines are in place: blog.datawrapper.de/color-cont

Played around with different color spaces today, and now I wonder:

Which color palette do you prefer? If you had to suggest one of these palettes for a data vis style guide in an organization, which one would you choose? Why?

[Find a poll in the next tweet!]

It's happening: I'm writing a *book* on how to use colors in 📊!

And you can follow along: Every day, I write an update on my progress – papers I read, color tools I find, questions I have, and people I talk to. Find all updates here: datawrapper.notion.site/Color-

Visual data journalist @baskerhel@twitter.com describes a day of working for The Economist in their newsletter Off the Charts – and it's fascinating: view.e.economist.com/?qs=8bd09
Now I want to read the "typical days" of all good data vis designers out there.

Hi! I'm considering writing a book that helps people (like you?) create beautiful, easy-to-read .
What do you struggle with? What would be useful to read? Let me know so that I can make the book better for everyone. Here are nine questions I have: lisacmuth.typeform.com/to/B3Nh

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