Practical Predictive Analytics

Read the data in

Next, we will read in a few rows of the file (using the nrow parameters), and then run a str() function on the input to see which variables are contained within the file. There are several metrics in the file related to medicare enrollment. We will just concentrate on the total enrollment metrics, and not utilize some of the other sub-segments (such as military and private insurance) for this chapter:

x <- read.csv("x <- read.csv("hihist2bedit.csv", nrow = 10)" str(x)  > 'data.frame': 10 obs. of  13 variables: >  $ Year        : Factor w/ 10 levels "2003","2004 (4)",..: 10 9 8 7 6 5  4 3 2 1 >  $ Year.1      : int  2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 >  $ Total.People: num  311116 308827 306553 304280 301483 ... > $ Total : ...