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| Using CA-Datacom/DB Data in SAS Programs |
Calculating Statistics for CA-Datacom/DB Data
| Using FREQ, MEANS, and RANK Procedures |
You can use statistical procedures with CA-Datacom/DB data that is described by view descriptors just as you would with SAS data files. This section shows simple examples using the FREQ and MEANS procedures and a more advanced example using the RANK procedure.
| Using the FREQ Procedure |
Suppose you want to find what percentage of your invoices went to each country so that you can decide where to increase your overseas marketing. The following example calculates the percentage of invoices for each country appearing in the CA-Datacom/DB table INVOICE using the view descriptor VLIB.INV:
proc freq data=vlib.inv; tables country; title 'Data Described by VLIB.INV'; run;
The following output shows the one-way frequency table this example generates.
Results of Using the FREQ Procedure
Data Described by VLIB.INV 1
COUNTRY
Cumulative Cumulative
COUNTRY Frequency Percent Frequency Percent
--------------------------------------------------------------
Argentina 2 11.8 2 11.8
Australia 1 5.9 3 17.6
Brazil 4 23.5 7 41.2
USA 10 58.8 17 100.0
For more information about the FREQ procedure, see the Base SAS Procedures Guide.
| Using the MEANS Procedure |
Suppose you want to determine some statistics for each of your USA customers. The view descriptor VLIB.USAORDR accesses records from the ORDER table that have a SHIPTO value beginning with a 1, indicating a USA customer.
The following example generates the mean and sum of the length of material ordered and the fabric charges for each USA customer. Also included are the number of rows (N) and the number of missing values (NMISS).
proc means data=vlib.usaordr mean sum n nmiss maxdec=0; by shipto; var length fabricch; title 'Data Described by VLIB.USAORDR'; run;
The BY statement causes the interface view engine to generate ordering criteria so that the data is sorted. The following output shows some of the information produced by this example.
Results of Using the MEANS Procedure
Data Described by VLIB.USAORDR 1
-------------------------------- SHIPTO=14324742 -------------------------------
Variable Label N Nmiss Mean Sum
--------------------------------------------------------------
LENGTH LENGTH 4 0 1095 4380
FABRICCH FABRICCHARGES 2 2 1934460 3868920
--------------------------------------------------------------
-------------------------------- SHIPTO=14898029 -------------------------------
Variable Label N Nmiss Mean Sum
--------------------------------------------------------------
LENGTH LENGTH 2 0 2500 5000
FABRICCH FABRICCHARGES 2 0 1400825 2801650
--------------------------------------------------------------
-------------------------------- SHIPTO=15432147 -------------------------------
Variable Label N Nmiss Mean Sum
--------------------------------------------------------------
LENGTH LENGTH 4 0 725 2900
FABRICCH FABRICCHARGES 2 2 252149 504297
--------------------------------------------------------------
-------------------------------- SHIPTO=18543489 -------------------------------
Variable Label N Nmiss Mean Sum
--------------------------------------------------------------
LENGTH LENGTH 6 0 303 1820
FABRICCH FABRICCHARGES 4 2 11063836 44255344
--------------------------------------------------------------
-------------------------------- SHIPTO=19783482 -------------------------------
Variable Label N Nmiss Mean Sum
--------------------------------------------------------------
LENGTH LENGTH 4 0 450 1800
FABRICCH FABRICCHARGES 4 0 252149 1008594
--------------------------------------------------------------
-------------------------------- SHIPTO=19876078 -------------------------------
Variable Label N Nmiss Mean Sum
--------------------------------------------------------------
LENGTH LENGTH 2 0 690 1380
FABRICCH FABRICCHARGES 0 2 . .
--------------------------------------------------------------
For more information about the MEANS procedure, see the Base SAS Procedures Guide.
| Using the RANK Procedure |
You can use advanced statistics procedures with CA-Datacom/DB data that is described by a view descriptor. The following example uses the RANK procedure with data that is described by the view descriptor VLIB.EMPS to calculate the order of birthdays for a set of employees. This example creates a SAS data file MYDATA.RANKEX from the view descriptor VLIB.EMPS. It assigns the column name DATERANK to the new field created by the procedure. (The VLIB.EMPS view descriptor includes a WHERE clause to select only the employees whose job code is 602.)
proc rank data=vlib.emps out=vlib.rankexam; var birthdat; ranks daterank; run; proc print data=vlib.rankexam; title 'Order of Employee Birthdays'; run;
VLIB.EMPS is based on the CA-Datacom/DB table EMPLOYEES. The following output shows the result of this example.
Results of Using the RANK Procedure
Order of Employee Birthdays 1
OBS EMPID JOBCODE BIRTHDAT LASTNAME DATERANK
1 456910 602 24SEP53 ARDIS 5
2 237642 602 13MAR54 BATTERSBY 6
3 239185 602 28AUG59 DOS REMEDIOS 7
4 321783 602 03JUN35 GONZALES 2
5 120591 602 12FEB46 HAMMERSTEIN 4
6 135673 602 21MAR61 HEMESLY 8
7 456921 602 12MAY62 KRAUSE 9
8 457232 602 15OCT63 LOVELL 11
9 423286 602 31OCT64 MIFUNE 12
10 216382 602 24JUL63 PURINTON 10
11 234967 602 21DEC67 SMITH 13
12 212916 602 29MAY28 WACHBERGER 1
13 119012 602 05JAN46 WOLF-PROVENZA 3
For more information about the RANK procedure and other advanced statistics procedures, see the Base SAS Procedures Guide.
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Copyright © 2007 by SAS Institute Inc., Cary, NC, USA. All rights reserved.