The data set orion.orders contains information on in$-$store, catalog, and internet orders as well as delivery dates. Orion Star wants to study catalog and internet orders that were delivered quickly, as well as those that went slowly.

Create three data sets named work. fast, work. slow, and work. veryslow.

Write a WHERE statement to read only the observations with order$\_$TYpe equal to $2($catalog$)$ or $3($Internet$).$

Create a variable named ShipDays that is the number of days between when the order was placed and when the order was delivered.

Handle the output as follows:

Output to work. fast when the value of ShipDays is less than $3.$

Output to work. slow when the value of ShipDays is $5$ to $7.$

Output to work. veryslow when the value of ShipDays is greater than $7.$

Do not output an observation when the value of ShipDays is $3$ or $4.$

Drop the variable Employee$\_$ID$.$

There should be Blank $1$ observations in work. fast.

Blank $2$ observations in work. slow, and

Blank $3$ observations in work. veryslow.

Of the $490$ observations in orion. orders, only Blank $4$ are read due to the WHERE statement.

Print your results from work. fast. What is the value of ShipDays for observation $11?$ Blank $5$

Print your results from work. slow, what is the value of ShipDays for observation $28?$

Print your results from work. veryslow. what is the value of ShipDays for observation $4?$ Blank $7$