🃏 Double-down when you're down-and-out?
— Mara Averick (@dataandme) April 8, 2019
"Martingale strategies don't work, but we knew that - Simulation analysis in R" 🖋 @danoehm https://t.co/ZIMn7JD79y #rstats pic.twitter.com/VGAhWlBWfg
🃏 Double-down when you're down-and-out?
— Mara Averick (@dataandme) April 8, 2019
"Martingale strategies don't work, but we knew that - Simulation analysis in R" 🖋 @danoehm https://t.co/ZIMn7JD79y #rstats pic.twitter.com/VGAhWlBWfg
Animated map shows 87 days of combat in Normandy. British units marked in orange, Canadian in red, US in units and Axis in black. Source: https://t.co/1qJjyrMGqq #WWII #military #history pic.twitter.com/3KQspZqmIx
— Simon Kuestenmacher (@simongerman600) April 8, 2019
Getting your Matplotlib plot framed, laid out, and axis-ed up just right can be a giant pain in the butt. Here are all my best tricks.https://t.co/HKuqQNsufl
— Brandon Rohrer (@_brohrer_) April 8, 2019
Framing plots in @matplotlib is the latest addition to @E2eMl Building Blocks. pic.twitter.com/NKmMuNSYky
This chart shows the top 10 most populous cities in the US for every decade from 1790 until today. Tons of fun to look at. The link even features a printable pdf version! Source: https://t.co/DDYAE9zcFv pic.twitter.com/7uETnLoZnL
— Simon Kuestenmacher (@simongerman600) April 4, 2019
Population history of the most populous US cities. pic.twitter.com/WImIYtmsWo
— Bojan Tunguz (@tunguz) April 4, 2019
Fun interactive graphic (sorry you'll have to click on the link) shows the evolution of the web and its browsers. Source: https://t.co/3bZET1lbpf pic.twitter.com/VrOBx1p2TN
— Simon Kuestenmacher (@simongerman600) April 3, 2019
Annual cycle of day length (hours of daylight) throughout the world. #dataviz by @neilrkayehttps://t.co/G5L13BdOmu pic.twitter.com/IwNh3Ncl2G
— Randy Olson (@randal_olson) April 3, 2019
Very interesting map of the flow of students between countries on @jfgagne blog on the 2019 Global AI Talent report.https://t.co/2XZSvYcYOe pic.twitter.com/rL0KiS0NZE
— Neil Lawrence (@lawrennd) April 3, 2019
😮 Don't think I've seen marginal histograms before…
— Mara Averick (@dataandme) April 2, 2019
"easyalluvial 0.2.0 released" ✍️ Björn Koneswarakanthahttps://t.co/L0yrobIKGE #rstats #dataviz pic.twitter.com/gJs0M1m1W0
A Visual Exploration of Gaussian Processes — A new Distill article by @_jgoertler, Rebecca Kehlbeck, and @OliverDeussenhttps://t.co/H7HGoBaYdw
— distillpub (@distillpub) April 2, 2019
Source for this graphic: https://t.co/2smNtXmeaF
— Mike Bostock (@mbostock) April 2, 2019
If you wonder why all these superpowers in the last 100-odd years struggled to conquer Afghanistan you’ll just need to look at the country’s topography. Source:https://t.co/rOy1eCk7uA pic.twitter.com/0f1bqzdVoN
— Simon Kuestenmacher (@simongerman600) April 1, 2019