Monthly Archives: February 2013

Netflix is using data to create original content for its subscribers, the first example of which was House of Cards. Three main data points for this show were that (1) People like David Fincher (because they watch The Social Network, … Continue reading →

An attempt to create a version of knitr for stata (via John M.). I  like the direction that reproducible research is moving - toward easier use and wider spread adoption. The success of iPython notebook is another great sign for the whole … Continue reading →

I've enjoyed so far the back and forth between Tesla Motors and New York Times reporter John Broder. The short version is Broder tested one of Tesla's new Model S all-electric sedans on a drive from Washington, D.C. to Groton, … Continue reading →

The Why Axis - discussion of important visualizations on the web. This is one I think a lot of people know about, but it is new to me. (via Thomas L. - p.s. I'm @leekgroup on Twitter, not @jtleek).  This paper … Continue reading →

Nick Chamandy Nick Chamandy received his M.S. in statistics from the University of Chicago, his Ph.D. in statistics at McGill University and joined Google as a statistician. We talked to him about how he ended up at Google, what software … Continue reading →

I'm a biostatistician. That means that I help scientists and doctors analyze their medical data to try to figure out new screening tools, new therapies, and new ways to improve patients' health. I'm also a professor. I  spend a good … Continue reading →

An article about how NBA teams have installed cameras that allow their analysts to collect information on every movement/pass/play that is performed in a game. I think the most interesting part for me would be how you would define features. … Continue reading →

As you know, we are big fans of reproducible research here at Simply Statistics. The scandal around the lack of reproducibility in the analyses performed by Anil Potti and subsequent fallout drove the importance of this topic home. So when … Continue reading →

My student, Hilary, wrote a post about how her name is the most poisoned in history. A poisoned name is a name that quickly loses popularity year over year. The post is awesome for the following reasons: (1) she is … Continue reading →