Download the data set: Auto.csv¹ Make sure place it in the same directory of your R file and set your working directory

An easy way to load such data into R is to save it as a csv (comma separated value) file and then use the read.csv() function to load it in.

> Auto=read.csv("Auto.csv",header=T,na.strings ="?")
> fix(Auto)
> dim(Auto)
[1] 397 9
> Auto[1:4,]

The dim() function tells us that the data has 397 observations, or rows, and nine variables, or columns. There are various ways to deal with the missing data. In this case, only five of the rows contain missing observations, and so we choose to use the na.omit() function to simply remove these rows.

Questions

• Read in Auto.csv to the variable Auto with the header parameter set to TRUE and na.strings parameter set to “?”
• Store the dimensions of Auto to Auto.dim1
• Use the na.omit() function to remove the missing observations of Auto and store the new dataset to Auto2
• Store the dimensions of Auto2 to Auto.dim2