We are testing one of the most requested features, Instagram Import.
With recent developments, we feel confident that we can ship this feature without overloading instance resources!
If you’re going to watch one video today, let it be this speech from Sacha Baron Cohen about Facebook and Google’s dangerous influence on democracy. It really is outstanding.
… and if you still have a Facebook account, please use it for something useful and share this video.
20 days left to support @firstname.lastname@example.org!
If you know RAW already: You know you've made better data viz thanks to it. So give them some money: https://www.indiegogo.com/projects/rawgraphs-2-0-a-web-app-for-data-visualization#/
Sharp piece by Hua Hsu about DuBois's Paris Expo charts: https://www.newyorker.com/books/page-turner/what-web-du-bois-conveyed-in-his-captivating-infographics
New article! I wrote down the Excel techniques & formulas I use the most to clean up data sets (so that I can use them for #dataviz). Which techniques are you using all the time? Which ones did I miss? Which ones should I add? https://blog.datawrapper.de/prepare-and-clean-up-data-for-data-visualization/
“A composer who hears sounds will try to find a notation for sounds. One who has ideas will find one that expresses his ideas, leaving their interpretation free, in confidence that his ideas have been accurately and concisely notated.” Super interesting article from Jason Forrest about Cornelius Cardew’s graphic score "Treatsie".
“We are often sold a similar bill of goods: big tech companies talk incessantly about how ‘AI’ and digitization will bring a better future. In the present tense, however, putting computers everywhere is bad for most people. It enables advertisers, employers and cops to exercise more control over us – in addition to helping heat the planet.”
Watched Gary Hustwit's documentary about legendary designer Dieter Rams. His philosophy is more relevant than ever - not just for designers, but for everyone who lives with design.
Read more: https://hustwit.com/rams
Rent online for 5$: https://hustwit.vhx.tv/products/rams (subtitled)
If you have a Vimeo account, you can rent it there as well: https://vimeo.com/ondemand/ramsfilm
Inspiring example of exploratory / participatory data physicalization.
Beauty In Numbers: an absolutely gorgeous animated film exploring the number pi. The visuals are based on true mathematical concepts, and the music is based on pi (more in thread). By Norwegian motion designer Rebecka Taule. Music by Jim Zamerski.
Some of the visuals from the film are on Taule's Behance:
Did an exercise in the student book for Linda Liukas' Love Letters for Computers. After I had coloured the computer, I decided to make a CSS version of it so I had some code to add on the exercise page.
Code on https://bit.ly/2kIU6b3
Love Letters for Computers is a great free resource for teachers who want to learn more about computer science so they can incorporate it in their teaching. There's a webpage with videos and links, plus teacher and student workbooks.
From the Collection: The Complete Commercial Artist (現代商業美術全集) – Letterform Archive
Coming up in Oslo in November: a (free!) half-day data vis conference!
📊 A group of scientists will present their research project and book "Data Visualization In Society", and there will be talks by @andykirk & others plus an exhibition of Norwegian data vis.
More info + sign-up:
Data vis inspiration: Gunther Kleinert's drawings.
The Köln Concert was recorded live, and was improvised in the concert hall. And the concert almost didn't happen! Here's the super inspiring story that lies behind it (there's also a transcript of the talk)
Data vis inspiration: Gunther Kleinert's drawings of music. Different parameters like frequency curves, sound levels, dynamics etc. are extracted, mapped and drawn on paper. These are of Keith Jarrett's legendary live recording Köln Concert.
If you like jazz, this is a must-have record, by the way. Make sure you get the original with Jarrett himself playing, because of the magical story behind the concert.
(see comments section for more info)
Kleinert's website: https://bit.ly/2kmW7tc
“In fashion, there is a quote widely attributed to Coco Chanel. Paraphrasing, it’s something like 'Before you leave the house, look in the mirror and remove one accessory.' I think of this before publishing a viz: what ‘accessory’ (gridline, outline, label, cool-but-unnecessary chart or graphic…) can I remove?”
Data vis read on elegance in data visualisation, based on a discussion in The Data Viz Society on Slack.
Studying datavisualisation. Musician & teacher. Dancer & DJ of Argentine social tango. Fun fact: I designed & coded my profile pic & header.
Also on Okuna (former Openbook)
vis.social is an open social platform for creative people, especially anyone in data, visualization, creative coding, and related arts and research.