roomthily

Global Diaspora, based on the recent GlobSci survey 

via Nature

scientist migration patterns

SalahEldeen and Nelson looked for tweets on six culturally significant events that occurred between June 2009 and March 2012. They then filtered the URLs these tweets pointed to and checked to see whether the content was still available on the web, either in its original form or in an archived form.

They found that the older the social media, the more likely its content was to be missing. In fact, they found an almost linear relationship between time and the percentage lost. 

via Technology Review

or the problems of social media as an historical archive

Colours in Movie Posters since 1914

via Vijay Pandurangan’s blog

courtenaybird:

The 100-Year March of Technology in 1 Graph

• In 1900, <10% of families owned a stove or had access to electricity
• In 1915, <10% of families owned a car
• In 1930, <10% of families owned a refrigerator or clothes washer
• In 1945, <10% of families owned a clothes dryer or air-conditioning
• In 1960, <10% of families owned a dishwasher or color TV
• In 1975, <10% of families owned a microwave
• In 1990, <10% of families had a cell phone or access to the Internet

Today, at least 90% of the country has a stove, electricity, car, fridge, clothes washer, air-conditioning, color TV, microwave, and cell phone. 

learning curve for popular open source CMS platforms

via The CMS Myth (and as originally posted for MMORPGs)

chart graffiti on the sidewalk outside my office. 

datavis:

Nidecker Snowboard

prostheticknowledge:

Etsy Data Visualization Scarf

By Natalie B:

One of a kind data representation scarf based on Etsy data from August 2005 - October 2011. Left (red) graph represents Items Sold by Month. Right (dark gray) graph represents New Members by Month.

suspicious histogram

via Statistical Modeling, Causal Inference, and Social Science

File sizes in the Linux 2.6.39.2 source tree

via Testing Benford’s Law

If a set of values were truly random, each leading digit would appear about 11% of the time, but Benford’s Law predicts a logarithmic distribution. It occurs so regularly that it is even used in fraudulent accounting detection.