[DataSci] Reading: chapter 1 of ISLR

[David Owen]

Our reading is chapter 1 of Intro to Stat Learning, and I only just now 
picked it up to take a look at it.

Chapter 1 is the intro to the book, and only 15 pages.

However, it lays some good foundations if you're not already into the 
stats world.  For example, it shows several different types of plots for 
different data sets, covers the basic of linear algebra, and states which 
data sets the book references.

So the question is, do we stick with chapter 1, or go on to chapter 2?

If we stick with chapter 1, part of our "reading" could also be getting R 
setup and making sure we can load the example data sets.  A library is 
loaded like this: `require(MASS)`.  A dataset can then be loaded like 
this: `data(Boston)`.  If you get no error messages, you're good!

I'm fine either way, and will assume chapter 1 for now.

Cheers,
David