$1.$In the next $4$ questions, we wish to work with the dataset mtcars available freely with R$.$ Load this dataset in your R session and save as an object called cars. Fill in the blanks with appropriate numeric values. There are

Blank $1$ variables in the object cars of which we have

Blank $2$ variables are binary.

$2.$The most appropriate dissimilarity metric for observations in the cars data is

Blank $1$ dissimilarity. Blank $2$ is an in$-$built R that can be used to implement this dissimilarity.

$3.$The next two questions require computation before filling of the blanks. On the data cars implement the dissimilarity measure that you indicated in your earlier question, using an appropriate routine in R$.$ The value of the dissimilarity metric between cars $8$ and $27$ is Blank $1$

$4.$The total number of distinct similarity values obtained from this dataset is

Blank $1$