The relative populations of U.S. states, 1790–1990. https://t.co/f1kuXVhZiU
— Mike Bostock (@mbostock) June 22, 2019
The relative populations of U.S. states, 1790–1990. https://t.co/f1kuXVhZiU
— Mike Bostock (@mbostock) June 22, 2019
World perceptions on #vaccines. (Note the color scale.)
— Randy Olson (@randal_olson) June 20, 2019
Not the greatest #dataviz from a design perspective (poor color scale), but interesting data nonetheless.https://t.co/3xhU361zzU pic.twitter.com/bsxJ6Pp12W
🚗 @Emil_Hvitfeldt takes {ggplot2} 3.2.0's legend options for a spin…
— Mara Averick (@dataandme) June 18, 2019
📊 "Changing Glyph in legend in ggplot2"https://t.co/tv312fAnix #rstats #dataviz pic.twitter.com/u6IZX2RUwc
ICYMI, 🧐 @cpsievert's plotly book covers all sorts of interesting stuff I never knew existed…
— Mara Averick (@dataandme) June 14, 2019
📒 "Interactive web-based data visualization w/ R, plotly, and shiny" https://t.co/fF2ttLJUf3 #rstats #dataviz pic.twitter.com/NBLd1xcd3x
Where the world's wealth is concentrated. #datavizhttps://t.co/HZOOw2mmqg pic.twitter.com/IiWKt7jfxN
— Randy Olson (@randal_olson) June 12, 2019
Just send out my bi-yearly newsletter with all the new stuff and updates from the past 6-ish months :D (Cats & Dogs! Desktop vs Mobile dataviz! Depth circles! Sankeys! and more ;) )
— Nadieh Bremer (@NadiehBremer) June 11, 2019
You can also read it here: https://t.co/h12n7CfzAt pic.twitter.com/2BvKaB8vpj
🤔 You've gotten the big yes, but what about the guests...
— Mara Averick (@dataandme) June 10, 2019
👣 Step-by-step
💒 "Using R Shiny to Build A Wedding Invite Risk Model and Web App" by Bryan Clarkhttps://t.co/1oRa4kiCpG #rstats pic.twitter.com/KbPFcFPDkF
tensorwatch: Debugging, Monitoring and Visualization for Deep Learning and Reinforcement Learning https://t.co/TgRBVhbX0J
— PyCoder’s Weekly (@pycoders) June 10, 2019
Attention #rstats users:
— Claus Wilke (@ClausWilke) June 9, 2019
In a few weeks, I'm going to release #cowplot 1.0, and there are going to be some important changes from the current release. I encourage you to check out the development version now and verify things work for you. Thread. pic.twitter.com/33pAELKTnd
Top 25 cities in the world with the most pleasant days in the year. #dataviz
— Randy Olson (@randal_olson) June 9, 2019
Red=hot, blue=cold, green=pleasant
This is a really neat way to display this #weather data!
Source: https://t.co/U2gDpiHeEr pic.twitter.com/pkkzwJ8U8f
The economics of a typical cup of #coffee. #datavizhttps://t.co/u2zFWyfWKJ pic.twitter.com/fbpNDfzlF7
— Randy Olson (@randal_olson) June 8, 2019
🙌 There's something about ogling other house-style guides for viz…
— Mara Averick (@dataandme) June 7, 2019
📊 "Urban Institute Data Visualization style guide" https://t.co/W2kcMgIDoR via @urbaninstitute #dataviz pic.twitter.com/o1kBNPqQfG