These are the 50 US cities with the worst weather (fewest "pleasant days" in NOAA data). Analysis and visualization in R by @taraskaduk https://t.co/cogYpX9hLG #rstats pic.twitter.com/ClYGsTfyBW
— David Smith (@revodavid) February 25, 2019
These are the 50 US cities with the worst weather (fewest "pleasant days" in NOAA data). Analysis and visualization in R by @taraskaduk https://t.co/cogYpX9hLG #rstats pic.twitter.com/ClYGsTfyBW
— David Smith (@revodavid) February 25, 2019
How the #Brexit referendum result came to be. #UK #datavizhttps://t.co/zbgfZ2hXKy pic.twitter.com/JTkYeF0lT9
— Randy Olson (@randal_olson) February 21, 2019
The big money in wizarding worlds, time-bending universes, galaxies far away, and Bond, James Bond https://t.co/WvhJEN6566 pic.twitter.com/a3QrVeIFrN
— Nathan Yau (@flowingdata) February 20, 2019
New experiment: visualising Chinese urbanisation using elevation-style hillshade based on @CopernicusEU built-up-area data, rendered with @tylermorganwall’s rayshader
— John Burn-Murdoch (@jburnmurdoch) February 18, 2019
Code here for getting and transforming data, rendering plots: https://t.co/Pf9YBOBbZ7 #rstats #dataviz #gistribe pic.twitter.com/fBANcbhSBi
This figure is striking.
— John B. Holbein (@JohnHolbein1) February 16, 2019
It shows the relationship between where people think they are in the income distribution and where they actually are.
Observations below the line indicate that people think they are poorer than they really are (and the reverse above the line). pic.twitter.com/exECjYOdaH
French fry power rankings by @lucaspeterson. Not sure about that Five Guys ranking tho https://t.co/hGe2YImM99 pic.twitter.com/ZExphhwSwQ
— Nathan Yau (@flowingdata) February 15, 2019
Interactively analyzing human Go games since the year 1582 using OpenGo's value network.
— Soumith Chintala (@soumithchintala) February 14, 2019
Shows humans improvement at making moves across history.
(I wonder how much opening playbooks would've contributed to the quality of initial moves)https://t.co/Xf9g7KvEx0 pic.twitter.com/wPtqAqQsDd
Fascinating charts at https://t.co/qGVxalHDib about income inequality around the world.
— Yann LeCun (@ylecun) February 13, 2019
The evolution of income inequality in continental Europe is "L shaped": income inequality has decreased until the 1980s and has been relatively... https://t.co/RiI58lrf1v
Data gathered from individuals in Southeast Asia where the #hepatitis B virus is endemic allowed @astar_research scientists to construct a timeline of viral HBV infection status. In @SciImmunology: https://t.co/mw680y8OQI #HepB pic.twitter.com/2A87TCDzD3
— Science Magazine (@sciencemagazine) February 11, 2019
Lots of #dataviz talks on our #pydata video playlist, including:
— PyData (@PyData) February 11, 2019
"Data Science & Data Visualization in Python" by Radovan Kavickyhttps://t.co/vafLdmuRmD#datavisualisation #datanalysis #python
Don't forget to subscribe to the #PyData channel!
Recreational #drugs ranked by harm. #datavizhttps://t.co/0GRxNi0SDP pic.twitter.com/5lMyu7jpdv
— Randy Olson (@randal_olson) February 9, 2019
Top brewery rooooaaaaad trip, optimized with a genetic algorithm https://t.co/EvGQyNbbtu pic.twitter.com/MAHfsFOsEt
— Nathan Yau (@flowingdata) February 8, 2019