This post was written by Lisa Charlotte Rost. Lisa is a designer at Datawrapper. Based in Berlin, she organizes the Data Vis meetup and enjoys the few sunny days there. This article was originally posted on Datawrapper, and has been reposted with permission.

Statistics. I kid, I kid. Hugo Bowne-Anderson, host of the DataFramed podcast, culled some information together that he’s gathered from interviewing data scientists. This is what data scientists really do.

Why Knowledge Graphs Are Foundational to Artificial Intelligence

A journalist pointed me to this research article, “Gender equality and sex differences in personality: evidence from a large, multi-national sample,” by Tim Kaiser (see also news report by Angela Lashbrook here), which states:

A journalist pointed me to this research article, “Gender equality and sex differences in personality: evidence from a large, multi-national sample,” by Tim Kaiser, which reports:

“…in an information-rich world, the wealth of information means a dearth of something else: a scarcity of whatever it is that information consumes. What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” Herbert Simon ( 1971 )

R tip: use radix sort.

Andrew Han at Retraction Watch reports on a paper, “Structural stigma and all-cause mortality in sexual minority populations,” published in 2014 by Mark Hatzenbuehler, Anna Bellatorre, Yeonjin Lee, Brian Finch, Peter Muennig, and Kevin Fiscella, that claimed:

This is a guest post by Rob Whelan, Solutions Architect at Relus Cloud.