Concisely answer the following $10$ questions. Draw upon all relevant material from videos, Chapters $1$ and $3$ in r$4$ds$,$ and the associated activities when preparing your responses.

Briefly describe the different uses of each of the four $$windows$($or panels$)$ that are visible in RStudio. $($By the way, the first time you open RStudio, you will only see three windows or panels$).$

How do you install a package $($or library$)$ that is not included in base$-$R in RStudio?

Once it is installed, how do you load an installed package, so that it may be used in RStudio?

How do you create a new script in RStudio?

How do you execute a command that is written in the script window $($the upper left panel$)?$

In Chapter $1$ in r$4$ds$,$ after importing the Tidyverse set of packages, why is it not necessary to import an external file that contains the $$mpg$$ data prior to using it in RStudio?

Fully explicate the following sentence: $$R is an open$-$source, high$-$level programming language used for data analytics.$($See the video $$How Does R Work?$$ up to $8$:$49.)$

How do comparison operators and logical operators differ? In your response, provide examples of how to use each.

What are pipes, what is the $$cool$$ way to create them, and how can they be used to streamline a dplyr workflow? In your response, provide a couple of illustrative examples of their use.

Aside from help features available in RStudio, where can you go to learn more about a function, argument, dataset, or package $($add$-$on library$)$ in R$?($See HG$\_$r$4$ds$\_$preface, pp$.$ xviii$-$xx$.)$