For those of you who are thinking about diversity, inclusion and representativity in dataviz and what you can do, I wrote a blog post of my experience using an inclusion rider as a speaker at a data-related conference. https://www.chezvoila.com/blog/inclusionrider
I propose to use the golden ratio when deciding where the scale of a line chart should start (when not zero).
The latest IPCC report has made me even more impatient with bad charts about climate change. I wish people who communicate data on this topic would take it as seriously as the econometric models. It’s not that hard. https://www.chezvoila.com/blog/redesign-carbon
My newsletter about data viz & data journalism was sent out yesterday, might be interesting to people here https://www.getrevue.co/profile/FairWarning/issues/fair-warning-why-is-recycling-plastic-so-difficult-132679
I sat with the Minard Map, a magnifying glass, a notebook and a beer and wrote about things hiding in plain in this iconic work. Can this overused map still surprise you?
I wrote these "13 facts you didn't know" four years ago, but it got a bit of a revival online lately. There's a quick survey at the end and I'll compile the answers soon.
Crowd noise visualization at Bayern vs Hoffenheim, for everyone that loves soccer! @andykirk (from The Economist) https://reimaginethegame.economist.com/en/matches/bayern-hoffenheim/timeline/
4 job openings at Thomson Reuters Labs! Data Scientist, Boston http://jobs.thomsonreuters.com/ShowJob/Id/133692/Data-Scientist/
Data Experience Developer, London http://jobs.thomsonreuters.com/ShowJob/Id/151616/Data-Experience-Developer/
Data Science Enginner, London http://jobs.thomsonreuters.com/ShowJob/Id/151590/Data-Science-Engineer/
Innovation Lead, London http://jobs.thomsonreuters.com/ShowJob/Id/151593/Innovation-Lead/
hit me up if you want the inside scoop on these roles and how the Labs work
In the midst of the debate about the latest NYT choropleth map of the US election, I find these European maps (or bubble grids) by @maarten quite refreshing (based on the work of Jonas Schöley). http://www.maartenlambrechts.com/2018/07/31/beasts-of-europe.html
Will I have the chance to meet anyone from here at #eyeo festival next week?
If you live/work in Montreal or if you're coming to CHI, I hope you saw the line up of the next meetup of Visualisation Montreal (April 25). It's a big one. https://www.meetup.com/vismtl/events/249642994/
There may be some of our speakers here, so a big thank you. I'm especially grateful to Matthew Brehmer (Microsoft) who's been a real pro in assembling these dataviz Avengers: reaching out to VisMTL, recommending people, making introductions, following up. Work with him if you ever have the chance.
I’m formulating a plan for inclusion efforts on vis.social, with the goal of making this a more diverse (and therefore more valuable and sustainable) social space.
But… I don't know what I'm doing! Please review and comment to me here, or in the doc:
Any research on smoothed lines?
Some people take issues with them, but they seem to improve legibility when I apply them in Excel.
The case against is that they distort the data which isn't entirely true. 1) smoothed lines preserve the marker positions. 2) we can't assume that what happens between two points is linear.
S.O.S. What's the name of a chart like this? I just made one because I've seen them before, but the client is reluctant and I can't find other examples. It's a scatterplot with a line connecting to the zero points. Do they have a name? Examples? https://vis.social/media/r2KpCEz7xH2ihTn7TVE
(ok, I'm cross-posting from 🐦 but this seems important) We hear about color blindness, but what about dyslexia? Anyone avoiding italics based on research like this? 10% of people would be dyslexic; that's more than color blindness. https://blog.dyslexia.com/good-fonts-for-dyslexia-an-experimental-study/
Information designer in Montreal | Français/English | chezVoila.com twitter: chezVoila
A social space for anyone in data, visualization, creative coding, and related arts and research. Share your work, discuss, critique, and ask for help! Come one, come all:
→ creative coders
→ data scientists and visualizers
→ generative artists
→ visual researchers, curators, and critics
→ anyone else data- or visualization-adjacent
If you are curious about the world and creativity, you are welcome here. Learn more.