Tag: dataviz

👾 fun w/ the UpSetR 📦:
"Hacking our way through UpSetR" 💻 @LIBDrstats https://t.co/noVJ9asR4D #rstats #dataviz pic.twitter.com/UBjHh2qOJq

— Mara Averick (@dataandme) July 28, 2018

ICYMI,👇 Not to be missed amid the other https://t.co/nhDdkznot9 coolness!
😬 "CAVEATS: A collection of graphic pitfalls" by @R_Graph_Galleryhttps://t.co/vLPE6euaYj #dataviz #infovis pic.twitter.com/o2EGZcFG7O

— Mara Averick (@dataandme) July 27, 2018

Alexander von Humboldt was a Prussian polymath, geographer, naturalist and explorer. He revolutionized the way we see the natural world and invented the web of life, the concept of nature as we know it today. His drawings became the basis for illustrations of his publications. pic.twitter.com/sPhptyadzC

— Fermat's Library (@fermatslibrary) July 27, 2018

ICYMI: I came up with a way to measure postseason excitement graphically and then I turned it into COWS @NylonCalculus:https://t.co/1uU7Jx6QIa pic.twitter.com/GXQQEFw6Ah

— Crumpled Jumper (@CrumpledJumper) July 26, 2018

Awesome MCMC animation site by Chi Feng! On Github! https://t.co/uN9W1amPyi

— Andrew Gelman (@StatModeling) July 26, 2018

The 2016 presidential election, as you've never seen it before https://t.co/IW9jcvzAko pic.twitter.com/KJSsPBdiIb

— Nate Cohn (@Nate_Cohn) July 26, 2018

Style transfer used to mysteriously work best only on VGG architectures. See how a decorrelated image parameterization allowed us to bring naive style transfer (Only content + style loss after gram matrix transform a la Gatys et al.) to GoogLeNet:@zzznah @nicolapezzotti @ch402 pic.twitter.com/nS4OZn3YJd

— Ludwig Schubert (@ludwigschubert) July 25, 2018

Here's that shared parameterization in action. Note how the visualizations are easier to compare when visual landmarks stay in place.https://t.co/FokUCWvQze pic.twitter.com/5zpF8f3wJ5

— Ludwig Schubert (@ludwigschubert) July 25, 2018

Differentiable Image Parameterizations - A new Distill article by @zzznah @nicolapezzotti @ludwigschubert & @ch402 https://t.co/48BaSim6bQ

A powerful, under-explored tool for neural network visualizations and art.

— distillpub (@distillpub) July 25, 2018

Interesting model of sensemaking × viz:
🔓📄 "How do People Make Sense of Unfamiliar Visualizations?" Lee et al. 2016https://t.co/DJK2CTPmTM #dataviz #infovis
/* n = 11, but 👍 to think about */ pic.twitter.com/ugdGqtJnDV

— Mara Averick (@dataandme) July 25, 2018

The evolution of @MLB, tracked through 9 key statistics/metrics from 1871 to 2015. #baseball #datavizhttps://t.co/Ky0k6Zf0vk pic.twitter.com/NcjSEqo2FZ

— Randy Olson (@randal_olson) July 24, 2018

Most common jobs, by state https://t.co/Ft7diMNTLm

— Nathan Yau (@flowingdata) July 24, 2018