It's been 10 days since @realDonaldTrump's tariffs dropped. To celebrate, we at @MacroPoloChina released the #ChinaFootprint, an interactive data visualization of Chinese spending+investment on US soil. Enjoy! https://t.co/Gjv82sb1ZL pic.twitter.com/bYzzZEldit
— Matt Sheehan (@mattsheehan88) July 17, 2018
America is the world's largest weapons exporter. I was curious to see what this looks like over time, so I mapped the flows of arms transfers leaving the U.S. from 1950 to 2017. The data comes from @SIPRIorg 's Arms Transfers Database. Full video here: https://t.co/5h1I6B2Xlp pic.twitter.com/WlSW73ZbLT
— Will Geary (@wgeary) July 16, 2018
Follow along with @JamesABednar walking through the PyViz stack (including HoloViews and @BokehPlots) at #SciPy2018 https://t.co/w8Bvecq8e5
— HoloViews (@HoloViews) July 16, 2018
I recreated an NYT graphic (made in D3) in 10 minutes using ggparliament, a #ggplot2 #tidyverse extension in #rstats. H/T to @thosjleeper, @robert_squared, and uhhh... myself for doing a lot of work on ggparliament! pic.twitter.com/Tzs37DJ8zY
— Zoe Meers (@zoe_meers) July 12, 2018
Released lolviz 1.4 that can visualize 1D, 2D numpy arrays in jupyter or raw Python 2, 3. Use "pip install -U lolviz" to enjoy. https://t.co/L3HLISC4lS pic.twitter.com/3VJVwaFwBK
— Terence Parr (@the_antlr_guy) July 11, 2018
The tortuous paths that France and Croatia took to the final https://t.co/k5q05jzJmF pic.twitter.com/LGoo0DyAVF
— Ritchie King (@RitchieSKing) July 11, 2018
I did a comparison of city street network orientations in major US cities, and now I've got a better sense of why I find Boston so difficult to navigate. Visualization uses Python, OSMnx, and @OpenStreetMap data.https://t.co/prINZbDh9z pic.twitter.com/YGY4VDSjZY
— Geoff Boeing (@gboeing) July 11, 2018
This is a neat way to visualize a college curriculum. #education #dataviz
— Randy Olson (@randal_olson) July 11, 2018
Bonus: Could change the color/size of the circles to indicate grades achieved for that course.https://t.co/u6oJEJ1kp5 pic.twitter.com/iXM1HiYwPh
In the spirit of Twitting, I recently completed a paper that summarizes the #BookOfWhy in seven words, each standing for a principle or a tool:https://t.co/kGo69bX109
— Judea Pearl (@yudapearl) July 11, 2018
Once you acquire these seven tools you would qualify as top Causal Inference Expert - a champion of commonsense.
New post with @JasonPunyon! Classifying comments on @StackOverflow ⚖️https://t.co/jvGSFIAkCW pic.twitter.com/Mrs2DjdI9H
— Julia Silge (@juliasilge) July 10, 2018
☆ incredible visuals by @SCMPgraphics
— Mara Averick (@dataandme) July 10, 2018
"How the Thai cave rescue mission was developed"
https://t.co/jhfT5BQd3p h/t @flowingdata #ThaiCaveRescue pic.twitter.com/gY8bMF0EPJ
Lake nerds: Had to try it 👌 https://t.co/jed9tjyFPj @Brideau @dataandme pic.twitter.com/SoKpUABenR
— Hilary Dugan (@hildug) July 9, 2018
