Although the file is in the same folder where the project is located, $R$ cannot see the

data until you load it into memory $($until you load it into $R$ itself$).$ Remember you need

to tell R how you want it to remember the object for future references. In this case, I

chose the name schoolf$\_$data, so I recall that it is about school finances $($but of course,

you could have named it something else$).$ To do that, run the following command $($or

an appropriate modification if you want a different name$)$:

schoolf$\_$dataread.csv$("$ccd$\_$finance$16.$csv$")$

You'll need to load the package ggplot$2,$ dplyr$,$ and readr. If you haven't already done

so$,$ install them.

library $($dplyr$)$

library $($ggplot$2)$

library $($readr$)$

Which and how many variables does this dataset contain? You can get a list using the

command names $(),$ which should have the dataset you loaded as an argument. You can

see what each variable represents in the Dictionary section in this link.

What does each row $($observation$)$ of this dataset represent? Also, how many observations

does the dataset contains?

Add a new variable to the data called pupil$\_$rev$\_$total with total per$-$pupil revenue for

each school district $($use the mutate function$).$

Try to estimate the average per pupil revenue of school districts in the U$.$S$.$ in $2016$ with

the function mean applied on the vector of data pupil$\_$rev$\_$total. Unfortunately, you

will not be able to see much besides an NA as the output.

It looks like some observations have missing data, ergo the NA you got above. Include the

na$.$rm$=$TRUE option to ignore these observations. Now, once mroe, what is the average

per pupil revenue of school districts in the U$.$S$.$ in $2016?$ You should get a proper number

this time.

What is the standard deviation of per pupil revenue $($you can use the function sd$)?$ How

do you interpret this number?