I need some help with a data set in R Studio. I am getting a lot of errors in my code and I need direction please.

The data set I am using is a csv file with $200$ entries and is titled Mall$\_$Customers.csv with headers titled CustomerID, Gender, Age, Annual Income $($k$$),$ Spending Score $(1-100).$

My goal has been to just follow$-$ the guide for the assignment. Each question is something to write a code and utilize the data but maybe I am choosing the wrong libraries or something because this isn't working for me$.$ My Professor hasn't responded so I am hoping for help here.

The first three things to do:

$1.$ Handle missing data $($drop or impute values$)$ & deal with outliers if necessary.

$2.$ Transform and encode categorical variables $($e$.$g$.,$ one$-$hot encoding or label encoding$).$

$3.$ Scale or normalize continuous variables $($if required$).$

could you please write the import line of code for the csv and suggest libraries I should import? If you could write one line of code for one of three questions above as an example I would appreciate it$!$ Thanks!