simplystas相关(待修）

近来太懒了，想想太不好了，于是决定每个星期去看一篇simplystas上的文章并稍加翻译

         Sunday data/statistics link roundup (12/21/14)

                            星期日数据统计相关摘要

James Stewart, author of the most popular Calculus textbook in the world, passed away. In case you wonder if there is any money in textbooks, he had a $32 million house in Toronto. Maybe I should get out of MOOCs and into textbooks.

詹姆斯·斯图尔特，是世界上最流行的微积分教科书的作者，离开了人世。如果你不知道是否有在教科书任何金钱，他有一个32000000美元房子在多伦多。也许我应该走出MOOCs，进入教科书。

    This post on medium about a new test for causality is making the rounds.  The authors of the original paper make clear their assumptions make the results basically unrealistic for any real analysis for example:"We simplify the causal discovery problem by assuming no confounding, selection bias and feedback." The medium article is too bold and as I replied to an economist who tweeted there was a new test that could distinguish causality: "Nope".

   在medium上的一篇关于因果性新的测试方法的文章广泛流传。原论文的作者明确表示他们所做的假设，而这个假设对于任何真实分析而言基本上不现实：“我们通过假设没有混杂，选择偏差和反馈来简化因果分析的问题。”这篇文章太过大胆了。当一个经济学家在那儿兴奋道这是一种可以区分因果的新方法，哥只是淡淡一声"NOPE" 

    I'm excited that the Rafa + the ASA have started a section on Genomics and Genetics. It is nice to have a place to belong within our community. I hope it can be a place where folks who aren't into the hype (a lot of those in genomics), but really care about applications, can meet each other and work together.

    我很高兴的拉法+ ASA的已开始基因组学和遗传学的一部分。它是好的，对我们的社会中属于的地方。我希望它可以是一个地方，人们谁不为炒作（很多那些在基因组学的），但真正关心的应用，可满足对方而共同努力。

    Great essay by Hanna W. about data, machine learning and fairness. I love this quote: "in order to responsibly articulate and address issues relating to bias, fairness, and inclusion, we need to stop thinking of big data sets as being homogeneous, and instead shift our focus to the many diverse data sets nested within these larger collections." (via Hilary M.)

    大作文汉娜W.有关数据，机器学习和公平性。我很喜欢这句话：以负责任的表达，并与偏见，公正，包容地址的问题“，我们需要停止的大数据集的思想作为是均匀的，而是我们的重点转移到嵌套在这些众多的不同的数据集大集合。“（通过希拉里M.）

    Over at Flowing Data they ran down the best data visualizations of the year.

    在以上的数据流，他们跑下一年中最好的数据可视化

    This rant from Dirk E. perfectly encapsulates every annoying thing about the Julia versus R comparisons I see regularly.

    这种夸大其词的德克E.完全封装了有关朱莉娅与ř比较我经常看到每一个烦人的事。

    We are tantalizingly close to 1 million page views for the year for Simply Stats. Help get us over the edge, share your favorite simply stats article with all your friends using the hashtag

         我们很着急接近1万的页面浏览量为一年简单统计。帮助让我们在边缘，分享你最喜欢的简单统计文章与所有的朋友使用包括hashtag