This is a nice way to visualise and discern patterns in the timing of Twitter posts. It's clear which accounts are automated and which are operated by humans. It also means #rstats' `ggplot2::coord_polar(...)` has utility beyond pie charts! pic.twitter.com/SWt1IEXJNM
— Michael W. Kearney📊 (@kearneymw) December 23, 2019
Graphic: Recycling Rethink: What to Do With Trash Now That China Won’t Take It https://t.co/297Gpi2Xfr pic.twitter.com/UpIPGyg3Rl
— WSJ Graphics (@WSJGraphics) December 23, 2019
This is both beautiful, and intimidating. I now feel just a little more inadequate than I did before... https://t.co/6NcvgPZjsQ
— Jeremy Howard (@jeremyphoward) December 21, 2019
Here are my favorite data visualization projects for 2019 https://t.co/B4qW21kE6E
— Nathan Yau (@flowingdata) December 19, 2019
New visualization of the SWAG method for Bayesian deep learning. https://t.co/1UUFRvWNaA https://t.co/9oQ99k4cUH
— Andrew Gordon Wilson (@andrewgwils) December 18, 2019
Interesting data: Average family size in the U.S., broken down by state. #datavizhttps://t.co/CHy2Rt2k7g pic.twitter.com/mDObDRW2w6
— Randy Olson (@randal_olson) December 17, 2019
PyFlow - Visual scripting framework for Python. https://t.co/K8ADBSmOtS #Python #Visual #Scripting pic.twitter.com/dYy4ijWRSk
— Python Weekly (@PythonWeekly) December 17, 2019
I've begun writing on the ggplot2 book again. New introductory chapter to extensions, to be followed be a number of chapters with examples: https://t.co/9Kro0M0LY5
— Thomas Lin Pedersen (@thomasp85) December 16, 2019
A visual explanation of R² - which measures the decrease in error that your model provides over a baseline of guessing the mean. pic.twitter.com/2uHY0k5cpd
— Ted Petrou (@TedPetrou) December 14, 2019
Who codes what and for how long? | Read the first-place notebook from our #KaggleDSSurvey 👉 A story told through a heatmap by Teresa Kubackahttps://t.co/PmEkHxIlaj pic.twitter.com/LrblW7L36m
— Kaggle (@kaggle) December 12, 2019
The effect that maps showing the true size of Russia usually want to achieve is to make us gasp that Russia is smaller than we expected. I look at this map and am astonished just how big Russia really is. Any look at a globe would do the same thing of course... pic.twitter.com/fuzxtedsK2
— Simon Kuestenmacher (@simongerman600) December 12, 2019
Occupations 1950 → 2017 https://t.co/9GcoPHSi8T pic.twitter.com/RKNL0xvGSx
— Nathan Yau (@flowingdata) December 11, 2019
