An important article about anti-science sentiment in the U.S. (via David S.). The politicization of scientific issues such as global warming, evolution, and healthcare (think vaccination) makes the U.S. less competitive. I think the lack of statistical literacy and training in the U.S. is one of the sources of the problem. People use/skew/mangle statistical analyses and experiments to support their view and without a statistically well trained public, it all looks “reasonable and scientific”.
Amanda Cox on the process they went through to come up with this graphic about the Facebook IPO. So cool to see how R is used in the development process. A favorite quote of mine, “But rather than bringing clarity, it just sort of looked chaotic, even to the seasoned chart freaks of 620 8th Avenue.” One of the more interesting things about posts like this is you get to see how statistics versus a deadline works.
Drew Conway Drew Conway is a Ph.D. student in Politics at New York University and the co-ordinator of the New York Open Statistical Programming Meetup. He is the creator of the famous (or infamous) data science Venn diagram, the basis for our R function to determine if your a data scientist. He is also the co-author of Machine Learning for Hackers, a book of case studies that illustrates data science from a hacker’s perspective.
A cool article on Github by the folks at Wired. I’m starting to think the fact that I’m not on Github is a serious dent in my nerd cred. Datawrapper - a less intensive, but less flexible open source data visualization creator. I have seen a few of these types of services starting to pop up. I think that some statistics training should be mandatory before people use them.