A Less-than-Ideal ExampleAfter I wrote the previous blog post, I had a good think about a couple of things. One was that my situation with Anovisions provides, occasionally, less-than-ideal entry points into studies.I often enter a study long after many of the critical first decisions about data gathering, data type, and even research questions have been made by the people who have decided to hire a statistician. My methods for getting my head around a study, which I have started to describe in the previous blog post, are therefore rather ad hoc and perhaps not the best methods for researchers in environments where they have more control over the methods.
At this point in the conversation, therefore, I'm going to go in a couple of different directions. Let's have a look at a process that is more or less ideal for a data explorer, and after that, let's go back to how to manage when you are required to be the statistics expert entering in the middle of an exploration that has already been begun by people who are savvy in their businesses but not necessarily trained as data scientists or statisticians.
An Ideal ExampleIn this example, you have just been handed data and you have been asked to see what you can learn from it. It's a data scientist's dream: you can follow a process that allows you to find whatever the data has to offer.
Choose Your Tools
|Roger Peng, PhD of Johns Hopkins is an articulate |
proponent of the R Programming Language.
Installing R and RStudioTo learn how to install R and RStudio on your own computer so you can follow along with the data analysis step by step, please see this video.
see this video. Dr. Peng talks fast, so you may need to pause frequently as you follow along on your computer.
We will continue in this vein for our next few posts.