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.

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.

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)

I think @lisacrost may have my dream job. She answers the most pressing questions, like what colors should I use to encode gender?

4 job openings at Thomson Reuters Labs! Data Scientist, Boston
Data Experience Developer, London
Data Science Enginner, London
Innovation Lead, London

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).

I went to Eyeo and had the chance to meet @briromer and @duncangeere among others. Then I jolted down a few thoughts on the flight back to Montréal:

“Conferencing in the age of the Internet”

Will I have the chance to meet anyone from here at 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.

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, 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?

It is with embarrassment that I will confess here to seing @rsimmon in my dreams the night after I spent a day researching colour tools for this post. He was commuting to work by running 100 miles each way, each day. Well done, champion!

(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.

Show more is an open social platform for creative people, especially anyone in sciArt, data, visualization, creative coding, and related arts and research. English is the common language of the instance.