This week's discussion focuses on large datasets. Take a look at the SPY ETF for the last five years and consider the following questions:

$1.$ How do we take large data sets and reduce it to five metrics?

$2.$ Are all five metrics of equal importance?$3$

$3.$ What issues might you need to watch out for using these historic summaries to forecast forward results?

$4.$What dataset should students examine as an example?