Lisa Charlotte Muth
@lisacmuth
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Formerly @lisacrost. Creating & writing about dataviz for @datawrapper. #visber & @datavisclub organizer. Also over there: @[email protected]
Berlin
Joined July 2009
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://t.co/Ao1HhBNZ95
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Wow! It's a great honor to receive this Information is Beautiful Award. Thanks to @Datawrapper for letting me help & inspire people. And thanks to everyone else who's contributing to the lovely #dataviz community! Find all #IIBAwards 2024 winners here: https://t.co/PrSLkfivVd
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There are *so* many chart types out there. Which one should you use for what kind of data and goal? I tried to answer the question in a new blog post (and poster!):
datawrapper.de
A fun overview of 40 visualization types and when to use them.
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Fargo, Severance, Black Mirror, Atlanta, Master of None, Euphoria – they all left their fans waiting for three years or more between seasons. In fact, we're waiting longer than ever for TV shows to return, as @lisacmuth shows in her Weekly Chart: https://t.co/3BCm2Kkol1
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News sites in other countries: =============== → Le Monde 🇫🇷: https://t.co/zjsQW1Cb9p → ZEIT ONLINE 🇩🇪: https://t.co/ptBL28DPyH → Aftenposten 🇳🇴: https://t.co/FwmH8T8Oug → NZZ 🇨🇭: https://t.co/LHM1PxcegV → La Repubblica 🇮🇹:
repubblica.it
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→ The Telegraph 🇬🇧: https://t.co/jf1C2q0i2c → BBC 🇬🇧: https://t.co/XhuwOUK8Ff → The Economist: https://t.co/NQXQDdTW10 → CBC 🇨🇦:
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Other English-speaking news sites =============== → The Guardian 🇬🇧: https://t.co/WUCs1Fi7ro → Financial Times: https://t.co/VHbGGgECpn → Reuters: https://t.co/NjNAL3LMVz → Al Jazeera: https://t.co/F59AeuG9nW → The Times 🇬🇧:
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→ NBC News: https://t.co/huuA279caS → Fox News TV: https://t.co/1wtXk6jzF2 → CNN: https://t.co/qRSkI9IGYd → ABC News:
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→ The Wall Street Journal: https://t.co/UkBg3OSMUJ → Bloomberg: https://t.co/E1fdNvqqEy → USAToday: https://t.co/ZgRKeP2AUB → POLITICO: https://t.co/76h4mi69fK → Axios: https://t.co/bqWZDcOWZ5 → PBS: https://t.co/OQhOj0mvbH → NPR:
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Curious how different news sites visualize the U.S. election results? Here are 25+ links — let me know which ones I missed! U.S. news sites =============== → The New York Times: https://t.co/6b2tx7Vbyz → The Washington Post: https://t.co/clp8wtjgru
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Think this social media post is boring? Help us make it better! Our communications team (@lisacmuth, @rosemintzers, @gsutters and @serve_vivien) is looking for someone to help us improve our social media game and keep our blog up to date. Find out more:
datawrapper.de
Help us make our social media accounts more interesting and keep our blog up to date.
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🎉 New blog post! Choosing colors for a #dataviz on race, ethnicity or continents can be tricky. I collected lots of examples and wrote down 6 guidelines to help ensure all your readers feel respected by your color choices: https://t.co/qME2AAsXc8
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Are you a student in Germany? Come join my team, learn more about #dataviz, and help us with social media + our blog. German skills are not required.
🚨 We're looking for a Werktstudent*in (working student) to help us with social media and with our blog and website. That's not you? Tell your student friends!
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I was intrigued, so I wrote a whole blog post on that one chart (and found three errors in the data 😬):
datawrapper.de
Hi, this is Lisa! At Datawrapper, I'm in charge of communications. Today I'm looking …
This is a masterclass (yet again) in @IrishTimes on how NOT to present information. Quick glance & you’d be sure 🇮🇪 has tumbled DOWN the medal tables since 2000. FFS. This is criminal level breaking of the rules of how to share data.
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I'm really looking forward to Rose's findings! If you enjoy #dataviz, consider attending her talk this Thursday:
The last Unwrapped speaker we're excited to announce – before the conference kicks off on Wednesday – is our very own @rosemintzers! You may know her as the editor of our Data Vis Dispatch. She'll talk about trends in the field of news #dataviz:
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📊 New Unwrapped speaker! @matildakdavies, data journalist at The Times, will share how her team created a Datawrapper workflow that upskills the whole newsroom. See some of the amazing visualizations The Times created & learn more about Matilda here: https://t.co/88sGoILHBO
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I'm much looking forward to this talk at our Unwrapped conference ( https://t.co/j5ZrqVh9Pi):
New Unwrapped speaker (the 2nd one today!): @juruwolfe will talk about bringing Datawrapper to a newsroom, first at FiveThirtyEight and now at Reuters. Learn more about Julia and the Datawrapper chart she's most proud of:
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📣 The next data vis book club is happening Friday, March 15th at 7pm UTC during our Unwrapped conference! We'll be discussing "The Art of Insight" by @AlbertoCairo. 🤩 You'll find all the information for this special session here 👇
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🎉 New blog post! And — you guessed it — it's about small multiple line charts. When to use them instead of line charts? And how to make them easier to read and more beautiful to look at? Our writer @lisacmuth covers the do's and don'ts:
datawrapper.de
When to use small multiple line charts (vs. normal line charts) and how to create better ones. We'll cover the benefits of repeated lines, independent scales, sorting, colors, and more.
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Looking for participants! We’re running a user study to evaluate a prototype interface for discussing data visualizations. If you are interested in our work and want to support our research, join one of the sessions! Registration: https://t.co/FHTqflaHDA
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There's a new chart type in Datawrapper 🎉 And it's one of my favorites: Small multiple line charts. I'm excited to see what you all will build with it!
🎉🎉🎉 Big news: You can now create small multiple line charts with our new chart type “Multiple Lines”! Give each line its own panel, then sort, style, annotate, show lines on independent scales, and more. See what’s possible in our announcement post:
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