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# The data set orion.orders contains information about in-store, catalog, and Internet orders as well as delivery dates.

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The data set orion.orders contains information about in-store, catalog, and Internet orders

as well as delivery dates.

Partial orion.orders (490 Total Observa

Order    Order  Delivery

Order_ID    Type     Employee_ID    Customer_ID        Date      Date

1230058123      1           121039             63    11JAN2007   11JAN2007

1230080101      2         99999999              5    15JAN2007   19JAN2007

1230106883      2         99999999             45    20JAN2007   22JAN2007

1230147441      1           120174             41    28JAN2007   28JAN2007

1230315085      1           120134            183    27FEB2007    27FEB2007

1230333319      2         99999999             79    02MAR2007   03MAR2007

a.     Do two data sets, work.instore and work.delivery, to analyze in-store sales.

·   Use a WHERE statement to read-only observations with Order_Type equal to 1.

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

·   Output to work.instore when ShipDays is equal to 0.

·   Output to work.delivery when ShipDays is greater than 0.

·   The work.instore data set should contain three variables (Order_ID, Customer_ID, and Order_Date).

The work.delivery data set should contain four variables (Order_ID, Customer_ID, Order_Date, and ShipDays).

·   Test this program by reading the first 30 observations that satisfy the WHERE statement. Check the SAS log to verify that no warnings or errors were reported.

b.     Modify the program to read the full orion.orders data set. Of the 490 observations in orion.orders, only 260 are read due to the WHERE statement.

c.      Print your results from work.delivery with an appropriate title.

Partial work.delivery (10 Total Observations)

Deliveries from In-store Purchases

Order_   Ship

Obs       Order_ID    Customer_ID        Date   Days

1     1231468750             52   25SEP2007     5

2     1231657078             63   29OCT2007     4

3     1232648239             49   07APR2008     8

4     1241063739             89   03JAN2011     1

5     1241235281            171   23JAN2011     7

d.     Use PROC FREQ to display the number of orders per year in work.instore. Add an appropriate title.

Hint:         Format the variable Order_Date with a YEAR. format. Restrict the analysis to the variable Order_Date with a TABLES statement.

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