@TimoRoettger @PromentaC *:。~amazing~。:* My one point of constructive feedback would be this plot. I dig the de-emphasized distributions, but #dataviz research by Barbara Tversky and Jeffrey Zacks has shown that lines for categories can lead people to erro
@chezVoila Lines imply trend, separate marks imply discrete data, e.g., Bars and Lines paper https://t.co/VUUkkvcbu0
RT @widdowquinn: @klmr @drchriscole Fair enough, but you might want to see these: https://t.co/AmyHhYCLol https://t.co/1WRJugw7EL as a coun…
@theneilrichards & certainly Tversky & Zacks' research (https://t.co/ljshYdXAKN) suggests visuals frame insight - the medium is the message
Understanding visual literacy http://t.co/bf5NoKOnrX So why don't we design #vis accordingly? http://t.co/AUXTgmPxuL http://t.co/MgRGPAPBKE
Understanding visual literacy http://t.co/bf5NoKOnrX So why don't we design #vis accordingly? http://t.co/AUXTgmPxuL http://t.co/MgRGPAPBKE
Understanding visual literacy http://t.co/bf5NoKOnrX So why don't we design #vis accordingly? http://t.co/AUXTgmPxuL http://t.co/MgRGPAPBKE