例如,我研究了气象记录;我看了气候图表;我使用不同的方法来分析数据,比如某些统计测试;然后讨论结果。
For example, I studied meteorological records; I looked at climate charts; I used different methods for analyzing the data, like certain statistical tests; and then I discuss the results.
我应该分析哪些诊断数据?
我将分析定义为运用数据和系统性的推理来做出决定。
I've defined analytics as the use of data and systematic reasoning to make decisions.
We can do that by intercepting our observation with the date base and knowledge we required, the whole color map.
通过截取我的观察结果,分析数据库,所需的知识,以及整个彩色图画。
And so very often I would find myself with gigabytes worth of data, at night I needed to analyze this data and look for this patterns and frankly the reality was sometimes I could spend 10-15 minutes whipping up a little script, a little program that unfortunately would take eight hours or more to run.
我经常会发现十亿字节的数据,晚上我就需要分析这些数据并,找出模型,坦白说,有时,我会花10-15分钟来编写一个小脚本,一个小程序,但不幸的是,运行它可能需要8个小时或更多时间。
I don't find that my analysis is profound in the final answer, I just took some estimates using my data and, again, we could-- if someone wanted to argue with us they could argue with my estimates of the expected returns of the standard deviations and the covariances, but not with this theory.
我在计算过程中并没有做太深入的分析,我只是用我的数据做了一下大概的估计,我再说一次,我们可以-,如果有人想就这个问题与我们争辩,他们可以争论我对期望收益的估计,或是争论标准差和协方差的估计值,但并不会针对理论本身。
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