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Prikvačeni tweet
The same data tells a different story depending on the level of detail you choose. Here's the same data about population growth in Europe (orange = growth, blue = decline) in five different units. I wrote more about it here: https://blog.datawrapper.de/weekly-chart-europegrowth/ …pic.twitter.com/AwRzdceYSa
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We're happy to finally announce a new
#visber meetup here in Berlin. Join us for an evening with the great@srendgen to talk about historical#dataviz!https://www.meetup.com/Data-Visualization-Berlin/events/268447673/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
For the next session of our Data Vis Book Club (
@datavisclub), we want to read 5-8 of the most important & open access#dataviz papers for practitioners who communicate data. Any suggestions? cc@FILWD@eagereyes@sharoz@jeffrey_heer@domoritzpic.twitter.com/kPVjvFDe8N
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Lisa Charlotte Rost proslijedio/la je Tweet
My latest lab project is online
Color Theft lets you steal colors of your favorite artists and make custom pallets. Happy 

picking on tablet and desktop — https://colortheft.com/ #colors#art#threejs#sveltepic.twitter.com/x1LiSgiVMP
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Lisa Charlotte Rost proslijedio/la je Tweet
Bloomberg Green is changing the way we cover climate change. Follow the numbers that matter around global warming to see where progress is and isn’t being made => https://www.bloomberg.com/graphics/climate-change-data-green/ …
#BloombergGreen@climatepic.twitter.com/2HWzQki7GNHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I prepared 240 slides of training material for you all, incl. detailed speaker notes, in case you want to teach Datawrapper – or learn how to use it! (Thanks,
@zara_k01, for going through all of them and correcting them. You saved me a lot of work.)https://blog.datawrapper.de/datawrapper-training-materials-for-workshops/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lisa Charlotte Rost proslijedio/la je Tweet
New weekly chART! Ever wondered if it’s possible to recreate an image with a Datawrapper bar chart? Well… ok, probably not, but our
@ElanaEllesce did. See what she came up with here:https://blog.datawrapper.de/stacked-bar-chart-art/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I want to improve my writing. Who of you can recommend freelance editors who could go through English articles I've written, together with me? I'm interested in feedback on structure, understandability, wording, these things. Preferably in Berlin, but Skype works, too. Thanks!pic.twitter.com/8nZllfFznr
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Lisa Charlotte Rost proslijedio/la je Tweet
Last week I had an argument with someone about whether or not the current winter in Germany is normal (I don't think it is). So I started looking into temperature data and ended up writing a new blog post about what "normal" means (with tons of charts!) https://www.vis4.net/blog/2020/01/2019-too-warm/#/en …pic.twitter.com/A2gkHJvXRB
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Lisa Charlotte Rost proslijedio/la je Tweet
Das Jahr 2019 bei
@zeitonline in Grafiken, Karten und Illustrationen. https://www.zeit.de/2019-in-grafiken …#dataviz#ddjHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lisa Charlotte Rost proslijedio/la je Tweet
As a Christmas treat
, we've collated all 61 of our 'Graphic detail' print articles into one chonky PDF. Link available at the bottom of today's festive daily chart: https://www.economist.com/graphic-detail/2019/12/25/why-friends-like-sloppily-wrapped-gifts …https://twitter.com/AlexSelbyB/status/1190330905556062209 …
0:51Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lisa Charlotte Rost proslijedio/la je Tweet
Our second guest post!
This time, @SZ data journalist@munichrocker explains how we can automate updates to the data, title, description etc. of a Datawrapper chart with his R package DatawRappr:https://blog.datawrapper.de/why-i-created-an-R-library-to-use-Datawrappers-API/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lisa Charlotte Rost proslijedio/la je Tweet
I'm thinking about writing a post about what has happened in visualization over the last ten years. What do you consider important developments, both good and bad, in the visualization space 2009-2019?
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Lisa Charlotte Rost proslijedio/la je Tweet
We want to enable more people to create beautiful #dataviz. That's why you can now create, publish & embed Datawrapper charts, maps & tables without limits, export them as PNGs, use our API and collaborate in teams – all
for free
! Learn more here:https://blog.datawrapper.de/create-data-visualization-for-free/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lisa Charlotte Rost proslijedio/la je Tweet
After reading & discussing Alberto Cairo's "How Charts Lie" (


), what would you like to read next?
1. Andy Kirk's Data Visualisation Handbook
2. 5-8 of the most important #dataviz papers ever 3. Something accessible about math/stats 3. Something else (specify as reply!)Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lisa Charlotte Rost proslijedio/la je Tweet
"I always write striving to remember how I was 10-15 years ago, what I didn't know and should have known, and try to adopt a voice that I could have understood at the time." –
@AlbertoCairo, in our Q&A: https://notes.datawrapper.de/p/bookclub-howchartslie …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lisa Charlotte Rost proslijedio/la je Tweet
It's happening! Alberto answers all our questions NOW and HERE: https://notes.datawrapper.de/p/bookclub-howchartslie …pic.twitter.com/iWjBbySYS6
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Lisa Charlotte Rost proslijedio/la je Tweet
Tomorrow we'll meet to discuss
@AlbertoCairo's "How Charts Lie" – and if you're a speedy reader, you can still join! Find more information here: https://blog.datawrapper.de/datavis-bookclub-alberto-cairo-how-charts-lie/ …pic.twitter.com/hwc1h6ckUA
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Thanks to
@sto3psl – who has worked on our API for the past few months – and@driven_by_data, I finally understand what an API does! (Or at least what the Datawrapper API does.) So I'm a bit proud of this visual explanation in our announcement blog post: https://blog.datawrapper.de/new-api-Datawrapper-chart-creation-automation/ …pic.twitter.com/QBurdCkN2c
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Lisa Charlotte Rost proslijedio/la je Tweet
"Decomposition of traffic into four transport flows" employs a wonderful diagram to explain its four classes. Album de Statistique Graphique, 1889.
https://www.davidrumsey.com/luna/servlet/detail/RUMSEY~8~1~309486~90079359:Tonnage-des-Voies-Navigables-en-188?sort=Pub_List_No_InitialSort%2CPub_Date%2CPub_List_No%2CSeries_No&qvq=q:1889%20atlas%20statistique;sort:Pub_List_No_InitialSort%2CPub_Date%2CPub_List_No%2CSeries_No;lc:RUMSEY~8~1&mi=45&trs=113 …pic.twitter.com/g3ZumPV3Yi
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Lisa Charlotte Rost proslijedio/la je Tweet
what if..... we used light (source) as an encoding? As in, plotting sales and profit, and using light (but basically surface shade) to visualize the variance of profit for each data point.pic.twitter.com/HcBYFfXDo6
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I wrote about what we learned in our first year here: