Recently, the office decided to set up a small team to manage its social media presence. Because I had somewhat encouraged the development, I was asked to work with them, at least as a facilitator.
Somewhere down the line, I suggested to some on the team that they should consider carrying out analysis of the social media data, at least beyond the metrics that were already available on most of those sites.
I quickly put together a very rudimentary, but useful, Shiny app, (not without some inspiration from this guy) just to demonstrate a bit of what was possible, and they were eager for me to train them in the use of R. I will share more about the app sometime later.
My aim was (and still is) to get them to a point where they could carry out basic analyses on their own and grow from there. I tried to keep the material as basic and non-intimidating as possible – some of the students admitted to a morbid fear of statistics and I didn’t want to scare them off with anything too tough.
I consider myself a beginner still, so this experience really broadened my own understanding of the language. And I had a lot of fun doing it.
Well, I put together some slides on the training sessions and felt I should share them and hopefully get some feedback. Here they are:
- Introduction to R Programming
- R Data Structures – starting them off on vectors
- R Data Structures (Pt. II) – diving into the basics of data frames
- R Data Structures (Pt. III) – examining ways of working with matrices
- R Data Structures (Pt. IV) – lists (and lists)
The good thing is that some friends and colleagues (outside the office) have told me that, in the coming year, they would like me to train them as well in the use of R.
It’s only an opportunity for me to, yet, learn the more.