π Code through *and* a new data pkg!
β Mara Averick (@dataandme) March 16, 2020
π³ "U.S. Census Counts Data" by @kjhealyhttps://t.co/wLcw9cZnh3 #rstats #dataviz pic.twitter.com/LUUrwBHroY
π Code through *and* a new data pkg!
β Mara Averick (@dataandme) March 16, 2020
π³ "U.S. Census Counts Data" by @kjhealyhttps://t.co/wLcw9cZnh3 #rstats #dataviz pic.twitter.com/LUUrwBHroY
Political protests have become more widespread and more frequent over the last decade. Source: https://t.co/YS4ph4SdrM pic.twitter.com/TBFkPSWIhZ
β Simon Kuestenmacher (@simongerman600) March 16, 2020
Change in foot traffic around selected metro stations in large cities after the #coronavirus outbreak. My friends in Italy and Japan have shared on social media just how weird their cities feel now. Source: https://t.co/W9GPz4m283 pic.twitter.com/PlIgJ0Tdf3
β Simon Kuestenmacher (@simongerman600) March 15, 2020
This Washpost piece, which is about exponential infection and provides a simple model of various ways of slowing snow infection -- deserves some kind of prize. https://t.co/3MlAotgGsp
β Tim Wu (@superwuster) March 15, 2020
How rapidly is the number of confirmed COVID-19 cases rising in different countries?
β Max Roser (@MaxCRoser) March 14, 2020
Since a minute ago we have a chart that allows you to answer this question.
You find it here https://t.co/8HhFFxXTAS
Big thanks @danielgavrilov.
You did a lot of hard work these weeks! pic.twitter.com/Qpe26jDabG
Instead, we could encourage what experts call "social distancing." If people are less mobile and interact with each other less, the virus has fewer opportunities to spread. Here's a simulation where only a quarter of the balls can move. pic.twitter.com/01wAi5Mb9Z
β Harry Stevens (@Harry_Stevens) March 14, 2020
Number of Coronavirus cases, deaths and tests performed in two democracies with similar populations: South Korea (pop: 51 million) vs Italy (pop: 60 million). Source: https://t.co/PdEDpZGiaa pic.twitter.com/UZ8xgYQidu
β Simon Kuestenmacher (@simongerman600) March 14, 2020
A+ on content (complex and clearly explained) and A+ on visualization. Notice the use of deep scrolling, all on one surface β with no annoying sliding type. Jonathan Corum and Carl Zimmer = perfect team for handling profound content. https://t.co/PAxBDmysVv
β Edward Tufte (@EdwardTufte) March 11, 2020
4/ Onto demographics:
β John Burn-Murdoch (@jburnmurdoch) March 9, 2020
Sanders suffered from a trend familiar to many left-wing parties and candidates:
The inverse relationship between groupsβ favourability of left-wing candidates and their propensity to turn out. pic.twitter.com/hQgjJiAq0U
3/ The patterns suggest a big consolidation of the moderate "lane" to Biden post SC.
β John Burn-Murdoch (@jburnmurdoch) March 9, 2020
Buttigieg, Klobuchar & Bloomberg won a total 35% of votes cast by people who decided in Feb (when BBG looked good), but that halved to 16% among late-deciders, while Biden surged from 22% to 49% pic.twitter.com/1QJlY0zuIb
I was curious to see how much the typical American family would save on their annual #healthcare spending with @BernieSanders' #MedicareForAll. Turns out it's quite a lot. #Bernie2020
β Randy Olson (@randal_olson) March 8, 2020
Look up your savings on https://t.co/jaW7WdIoNQ pic.twitter.com/mTylGuoZFL
Interesting #dataviz: What American women want in a partner over the years. #dating #marriage
β Randy Olson (@randal_olson) March 8, 2020
Especially interesting how "similar political background" has been consistently low-ranking for decades. Maybe this will change in the coming years?
Source: https://t.co/iquR0R9dip pic.twitter.com/vR1hUtnV2T