Tag: dataviz

Artistic adventures in {ggplot2}…
"Draw maps like paintings" 👨‍🎨 @StatnMap https://t.co/00vN9iAwGY #rstats #dataviz #maps pic.twitter.com/Ux1S6ririB

— Mara Averick (@dataandme) December 14, 2018

📽 excellent slide deck by @wolfgangaigner (incl. useful 🎨 rules)
👁‍🗨 "perception and visualization"https://t.co/E9Zwpy1OUO #dataviz #infovis #visualization pic.twitter.com/SYdlzyX7W1

— Mara Averick (@dataandme) December 14, 2018

🌾 Fun lil' rvest-ing post (w/ code that I ran for some of last night's games)
🏀 "Recreating the NBA lead tracker graphic" by Kenneth Tayhttps://t.co/lsZpLaHScQ #rstats #dataviz pic.twitter.com/79dRrfsreR

— Mara Averick (@dataandme) December 13, 2018

Single-income occupations https://t.co/m1NcB9QOA3 pic.twitter.com/sx6Mvkm6Ou

— Nathan Yau (@flowingdata) December 12, 2018

Had a lot of fun & learned a lot (esp. re: presenting ideas in eye-catching ways) working w/ @mattsheehan88 @JoyDantongMa @AnnieCantara Chris Roche on this #ChinAI interactive: https://t.co/qFAqAqaf6I. Here's just a taste of what you'll find... pic.twitter.com/WUV2fZoLX0

— Jeffrey Ding (@jjding99) December 11, 2018

📚 This is an excellent collection of books…
"Information Arts" ✍️ @infowetrusthttps://t.co/AXo8CywEXT #infovis #dataviz pic.twitter.com/IB9aoXROvC

— Mara Averick (@dataandme) December 11, 2018

The cousin explainer chart. I found this very helpful. Source: https://t.co/XknjJSAzn5 pic.twitter.com/vTNvGek7ke

— Simon Kuestenmacher (@simongerman600) December 11, 2018

Visualizing city populations in 3D. #datavizhttps://t.co/HGmvC9QE1c pic.twitter.com/Sw7gz8ufvN

— Randy Olson (@randal_olson) December 11, 2018

Zooming in allows one to get a glimpse of the world before our time. pic.twitter.com/9Z3rMbwyLD

— hardmaru (@hardmaru) December 11, 2018

Use matplotlib.pyplot.table to add tables to your #matplotlib plot. You can even generate an image containing only the table!https://t.co/nsw6PFJjSu#python

— Daily Python Tip (@python_tip) December 10, 2018

A t-SNE projection of Kuzushiji-MNIST.

You can see how several classes have a multi-modal distribution in this space - this is because the characters have several distinct ways of being written.

Plot by @_sw1227_
from https://t.co/Iyu7OSpEvM (jp) pic.twitter.com/6M7XWRbUz6

— Mikel Bober-Irizar (@mikb0b) December 9, 2018

An updated and significantly expanded version of our UMAP paper is now on arXiv: https://t.co/bq4WuzuXvB
More explanation, algorithm descriptions, and more experiments looking at stability, and working directly on high dimensional data -- as high as 1.8 million dimensional data! pic.twitter.com/Frsqwj7GmP

— Leland McInnes (@leland_mcinnes) December 8, 2018