Lisa Charlotte Muth

@lisacrost@vis.social
1,065 Followers
223 Following
179 Posts
Creating & writing about dataviz for Datawrapper. Data Vis Book Club organizer. Fan of numbers, systems & overviews. I believe in maps, not the territory.
Portfoliohttp://lisacharlottemuth.com
Twitterhttps://twitter.com/lisacmuth
@maarten @rsimmon Congratulations, Maarten! I hope it'll be a great match for a very long time. And I hope you'll visit Berlin again at some point – I'd love to meet and hear how you like it!
Remember "The Millions Who Left" by the super talented people at ZEIT Online? They did it again. If you want to see some fine #dataviz today, visit their article about how many people move away from and to big German cities: https://www.zeit.de/gesellschaft/2023-01/deutsche-grossstaedte-bevoelkerungsentwicklung-zuzuege-wegzuege
Deutsche Großstädte: Die Stadtflucht

Lange Zeit zogen die Menschen innerhalb Deutschlands in die Städte. Doch Daten zeigen, dass sich der Trend gedreht hat: Die Großstädte beginnen zu schrumpfen.

ZEIT ONLINE
@kristinHenry Thanks, Kristin :)
@Jessel Aw, thank you for your beautiful words, Jessel!
@maarten Thanks, Maarten. Wonderful indeed! (And thankfully not too heavy yet...)
@shepazu Well, thank you for the kind words!

Text might be the most neglected part of #dataviz. We talk a lot about how the right chart type and colors can improve visualizations – but not enough about how to use words well.

So I wrote about that in my latest article: https://blog.datawrapper.de/text-in-data-visualizations/

What to consider when using text in data visualizations

How to make your data visualizations easier to read (and more interesting to look at!) with the right use of text.

Datawrapper Blog
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 @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: https://blog.datawrapper.de/interpolation-for-color-scales-and-maps/
How to choose an interpolation for your color scale - Datawrapper Blog

Natural, Quantiles, Linear, Custom – which option ist the best for your map? We explain all options for continuous (unclassed) and stepped (classed) data.

Datawrapper Blog

If you have a #dataviz job in journalism, you should know about @source@twitter.com & 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/

Source: An OpenNews project