$1.$ Create four variables that are assigned a numeric data type, a character data type, a logical

data type, and a date data type. Each variable should contain a different data type than the

others.

a$.$ Validate the type of data contained in the variable using the appropriate function that

validates the class of the variable. $($HINT: Read section $4\mathrm{.}3$ in the book$)$

$2.$ Create a variable called "monthsOfYEAR" that contains a vector of the names of the days of

the week.

$3.$ Create a variable called "dataVec$1"$ that contains a vector of numbers that range from $100$ to

$120.$

$4.$ Create a variable called $"$ dataVec$2"$ that contains a vector of numbers that range from $50$ to

$70.$

$5.$ Create a variable called $"$ datacombVec$1"$ that adds the vectors of $"$ dataVec$1"$ and $"$

dataVec$2"$ into the new variable $"$ datacombVec$1".$

$6.$ Create a variable called $"$ datacombVec$2"$ that multiplies the vectors of $"$ dataVec$1"$ and $"$

dataVec$2"$ into the new variable $"$ datacombVec$2".$

$7.$ What$$s the difference between NULL and NA$?$ How can NAs be resolved when using the

sum command?

$8.$ Write out the code that you would type in the RStudio script editor to install and load the

package dplyr$.$