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: https://blog.datawrapper.de/fonts-for-data-visualization/
My latest @email@example.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: https://blog.datawrapper.de/interpolation-for-color-scales-and-maps/
If you have a #dataviz job in journalism, you should know about @firstname.lastname@example.org & their great
👉 blog: https://source.opennews.org/
👉 community calls: https://opennews.org/what/community/calls/
👉 conferences: https://srccon.org/
Help these smart, lovely people with your opinion: https://source.opennews.org/articles/survey-time-tell-us-about-your-work/
Last call: Come work with me and the great @email@example.com at @Datawrapper@twitter.com! You still have until *next Sunday, July 17* to apply as a
✏️ Data Vis Writer: https://www.datawrapper.de/vacancy/data-vis-writer
🗣 Data Vis Evangelist: https://www.datawrapper.de/vacancy/data-vis-evangelist
My DMs are open in case you have any questions.
A question for all Arabic and Hebrew-speaking people out there: In a #dataviz in your language with a date/time x-axis, would you prefer it to go from right to left, or from left to right? (Polls in the next tweets!)
Examples: https://datadashboard.health.gov.il/COVID-19/general & https://inkyfada.com/ar/2021/08/20/%D9%82%D8%B6%D9%8A%D8%A9-%D9%86%D9%82%D9%84-%D8%A7%D9%84%D9%81%D8%B3%D9%81%D8%A7%D8%B7-%D8%A7%D9%84%D8%B4%D8%A7%D8%AD%D9%86%D8%A7%D8%AA-%D8%AA%D9%88%D9%86%D8%B3/
Join us for lots of hopefully useful information (and help me to build a giant data vis color wheel): https://www.eventbrite.com/e/rainbow-unicorns-and-grey-gridlines-colors-in-datavis-online-workshop-tickets-319744152367
🎉 It's finally out: My guide on how to create a fixed color palette for #dataviz in organizations! I’ve never worked longer on and interviewed more people for an article: https://blog.datawrapper.de/colors-for-data-vis-style-guides/
🎉 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: https://blog.datawrapper.de/10-ways-to-use-fewer-colors-in-your-data-visualizations/
In three hours, I'll give an @OutlierConf@twitter.com (https://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 #dataviz" 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 #dataviz, 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: https://blog.datawrapper.de/color-contrast-check-data-vis-wcag-apca/
It's happening: I'm writing a *book* on how to use colors in #dataviz 📊!
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: https://datawrapper.notion.site/Color-Book-Updates-54905c2bd0bb4c6bae15d99e31a9d5c4
Visual data journalist @firstname.lastname@example.org describes a day of working for The Economist in their newsletter Off the Charts – and it's fascinating: https://view.e.economist.com/?qs=8bd0940a089edb40f00f2bf464231fb758c260fe68c93902998dd8d93e4302b77b047085ef352b469f619b909d90d6b5b5b962dcffe5b2997415d71a8c3096f99be6dac8574fb4e879771edbd8388d47
Now I want to read the "typical days" of all good data vis designers out there.
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, SciComm, data, visualization, creative coding, and related arts and research. English is the common language of the instance.