Well, that's one more thing Kosara and I disagree about.
Standard datasets _are_ important. You literally don't want to be surprised by the dataset when you're trying to understand a technique.
Synthetic examples serve a similar purpose: you _know_ what's in them, so you can check that your technique is doing what you expect.
If you design a new technique and show it on a new dataset, readers can't separate one from the other.
Our paper "Using Animation to Alleviate Overdraw in Multiclass Scatterplot Matrices" will be presented at CHI 2018 on Thu 4/26 at 11am in Montréal!
Our approach uses a simple animation loop to alleviate overdraw in one of the hardest settings---multiclass SPLOMs.
It is work with our former undergrad student Helen Chen, myself, Alark Joshi, & Beste Yuksel at USF, Eric Ragan at Texas A&M, and Lane Harrison at WPI.
See a demo and more at http://vgl.cs.usfca.edu/animated-sploms/
RT @[email protected]: Only a few days left to apply for the #datavis researcher position in our group!
Job ad:
– German: https://www.fh-potsdam.de/fileadmin/user_dateien/1_informieren/D_Profil/a_Stellenanzeigen/20180305.aka.MA.Doerk.02_2018._D_.pdf
– English: https://www.fh-potsdam.de/fileadmin/user_dateien/1_informieren/D_Profil/a_Stellenanzeigen/20180305.aka.MA.Doerk.02_2018._E_.pdf
/cc #ieeevis #dhd2018 #infoplus2018 #openvisconf #visber https://twitter.com/uclab_potsdam/status/960470943838670849
https://twitter.com/uclab_potsdam/status/969208789575634944