a. Use read.csv() to load the data into the R dataframe with name Auto Please show R code used to test situations.

how should I present the data that would be used in this code? I can provide a public Google doc if need be

b. Find the dimension of the dataframe, how many data objects and attributes are in this data

frame?

Now use the following line to re-load the Auto.csv to the dataframe

auto = read.csv(Auto.csv, header = TRUE, na.string = ?)

Here, na.string defines that any time R sees a particular character or set of characters (such

as a question mark),it should be treated as a missing element of the data.

c. Use R functions to remove data with missing values?

d. What is the range of each quantitative attribute? You can answer this using the range()

function.

e. What is the mean and standard deviation of each quantitative attribute?

f. Now remove the 10th through 85th observations. What is the range, mean, and standard deviation of each attribute in the subset of the data that remains?

How should I provide the data because there's no way to insert a file and the data size is fairly large?