@jasper @duncangeere this book looks great!
Independent Information Design Consultant π π¨π‘ I help researchers spread their ideas with visual clarity π§π host of Data Viz Today Podcast (she/her)
@jasper @duncangeere this book looks great!
The "designer friendly" Nightingale recap of my work with Cindy Xiong.
We show how well-intentioned, equity-focused dataviz can actually backfire. We find that popular chart choices can trigger unconscious social biases, reinforcing systemic racism.
This is somehow longer than the actual paper, but we think it's a BIG topic for anyone doing data-advocacy or visualizing data about people.
+ stunning illustrations from @Allitorban
I'd love to hear y'alls thoughts!
https://nightingaledvs.com/unfair-comparisons-how-visualizing-social-inequality-can-make-it-worse/
@scott hehe :) :)
@darth_mall Thanks! The participants were ordered just by when it occurred during the tournament just bc that's how I had the data, but you're right that it would make much more sense with Carlsen's dots grouped. Thank you!
@datatitian great point!! thank you!
@francis that would be interesting to see! There is so much interesting
nuance around castling! I'll have to check out that documentary...π
Any chess mavens out there that can give me another pair of eyes on this viz? I was interested in when the best chess players tend to castle and to which side. So I'm wondering if this viz is clear and accurate (I don't play much chess but am curious about this move!). Thanks!
@dagoth Thanks Jay! RE: fonts, do you personally find serif or sans-serif easier to read?
@hollyamory this is perfect! thank you so much Holly!π
@scott I have a much smaller sample size that you π but my Data Viz Today account AND my personal account are both 72% Male / 28% Female followers. So idk... could just be the ratio that's attracted to the things I tweet about...?
@starbreaker thank you! I'll dive into webaim!
@scott @jschwabish just listened to the episode! Thanks for the reminder to jump back in here. π