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SAS/ACCESS Software for Relational Databases: Reference |
This section describes the SAS data sets used in some of the examples. It provides the SAS statements that create each data set and shows the output from the PRINT procedure. The code that creates these data sets is available in the GENSAMP.SAS file that is included with your SAS/ACCESS software.
DLIB.BIRTHDAY SAS Data File |
The SAS data file DLIB.BIRTHDAY is created with the following SAS statements:
libname dlib 'Your-SAS-data-library'; data dlib.birthday; input empid birthdat date7. lastname $18. firstnam $15. phone $4.; datalines; 459287 05JAN39 RODRIGUES JUAN 5879 127845 25DEC48 MEDER VLADIMIR 6231 254896 06APR54 TAYLOR-HUNYADI ITO 0231 ;
The following PRINT procedure lists the data shown in Data in SAS Data File DLIB.BIRTHDAY:
proc print data=dlib.birthday; format birthdat date9.; title 'DLIB.BIRTHDAY Data File'; run;
Data in SAS Data File DLIB.BIRTHDAY
DLIB.BIRTHDAY Data File OBS EMPID BIRTHDAT LASTNAME FIRSTNAM PHONE 1 459287 05JAN1939 RODRIGUES JUAN 5879 2 127815 25DEC1948 MEDER VLADIMIR 6231 3 254196 06APR1954 TAYLOR-HUNYADI ITO 0231 |
DLIB.OUTOFSTK SAS Data File |
The SAS data file DLIB.OUTOFSTK is created with the following SAS statements:
libname dlib 'Your-SAS-data-library'; data dlib.outofstk; input fibernam $8. fibernum; datalines; olefin 3478 gold 8934 dacron 4789 ;
The following PRINT procedure lists the data shown in Data in SAS Data File DLIB.OUTOFSTK:
proc print data=dlib.outofstk; title 'SAS Data File DLIB.OUTOFSTK'; run;
Data in SAS Data File DLIB.OUTOFSTK
SAS Data File DLIB.OUTOFSTK OBS FIBERNAM FIBERNUM 1 olefin 3478 2 gold 8934 3 dacron 4789 |
DLIB.TEMPEMPS SAS Data File |
The SAS data file DLIB.TEMPEMPS is created with the following PROC SQL statements:
libname dlib 'Your-SAS-data-library'; proc sql; create table dlib.tempemps (label='Student interns', empid num, hiredate date format=date7., dept char(6), gender char(1), lastname char(18), firstnam char(15), middlena char(15), familyid num); insert into dlib.tempemps values(765111,'04MAY98'd,'CSR011','M', 'NISHIMATSU-LYNCH','RICHARD', 'ITO',677890) values(765112,'04MAY98'd,'CSR010','M', 'SMITH','ROBERT','MICHAEL',234967) values(219776,'15APR98'd,'ACC024','F', 'PASTORELLI','ZORA',null,.) values(245233,'10APR98'd,'ACC013',' ','ALI','SADIQ','H.',.) values(245234,'10APR98'd,'ACC024','F', 'MEHAILESCU','NADIA','P.',.) values(326721,'01MAY98'd,'SHP002','M', 'CALHOUN','WILLIS','BEAUREGARD',.); quit;
The following PRINT procedure lists the data shown in Data in DLIB.TEMPEMPS:
options ls=120; proc print data=dlib.tempemps; title 'DLIB.TEMPEMPS Data File'; run;
DLIB.TEMPEMPS Data File OBS EMPID HIREDATE DEPT GENDER LASTNAME FIRSTNAM MIDDLENA FAMILYID 1 765111 04MAY98 CSR011 M NISHIMATSU-LYNCH RICHARD ITO 677890 2 765112 04MAY98 CSR010 M SMITH ROBERT MICHAEL 234967 3 219776 15APR98 ACC024 F PASTORELLI ZORA . 4 245233 10APR98 ACC013 ALI SADIQ H. . 5 245234 10APR98 ACC024 F MEHAILESCU NADIA P. . 6 326721 01MAY98 SHP002 M CALHOUN WILLIS BEAUREGARD . |
DLIB.RATEOFEX SAS Data File |
The SAS data file DLIB.RATEOFEX is created with the following SAS statements:
libname dlib 'Your-SAS-data-library'; data dlib.rateofex; input updated date7. currency & $15. fgnindol : 8. dolinfgn : 11. country & $20.; format updated date9. currency $15. fgnindol 8.6 dolinfgn 11.6 country $20.; datalines; 28JUL93 peso 1.01 0.99 Argentina 28JUL93 dollar 0.7457 1.3410 Australia more data lines ;
The following PRINT procedure lists the data shown in Data in SAS Data File DLIB.RATEOFEX:
proc print data=dlib.rateofex; title 'Data in SAS Data File DLIB.RATEOFEX'; run;
Data in SAS Data File DLIB.RATEOFEX
Data in SAS Data File DLIB.RATEOFEX OBS UPDATED CURRENCY FGNINDOL DOLINFGN COUNTRY 1 28JUL98 4 peso 1.010000 0.990000 Argentina 2 28JUL98 4 dollar 0.745700 1.341000 Australia 3 28JUL98 4 schilling 0.095940 10.420000 Austria 4 28JUL98 4 dinar 2.652200 0.377100 Bahrain 5 28JUL98 4 franc 0.032780 30.510000 Belgium 6 28JUL98 4 cruzeiro 0.000260 3872.000000 Brazil 7 28JUL98 4 pound 1.919500 0.521000 Britain 8 28JUL98 4 dollar 0.841400 1.188500 Canada 9 28JUL98 4 peso 0.002835 352.750000 Chile 10 28JUL98 4 renminbi 0.182815 5.470000 China 11 28JUL98 4 peso 0.001722 580.640000 Columbia 12 28JUL98 4 krone 0.175400 5.700500 Denmark 13 28JUL98 4 sucre 0.000693 1443.000000 Ecuador 14 28JUL98 4 markka 0.246490 4.057000 Finland 15 28JUL98 4 franc 0.199980 5.000500 France 16 28JUL98 4 mark 0.675400 1.480500 Germany 17 28JUL98 4 drachma 0.005491 182.100000 Greece 18 28JUL98 4 dollar 0.129190 7.740500 Hong Kong 19 28JUL98 4 forint 0.013139 76.110000 Hungary 20 28JUL98 4 rupee 0.035650 28.050000 India 21 28JUL98 4 rupiah 0.000493 2029.510000 Indonesia 22 28JUL98 4 punt 1.802600 0.554800 Ireland 23 28JUL98 4 shekel 0.406500 2.460000 Israel 24 28JUL98 4 lira 0.000892 1120.500000 Italy 25 28JUL98 4 yen 0.007843 127.500000 Japan 26 28JUL98 4 dinar 1.527700 0.654600 Jordan 27 28JUL98 4 dinar 3.420600 0.292400 Kuwait 28 28JUL98 4 pound 0.000503 1990.000000 Lebanon 29 28JUL98 4 ringgit 0.400000 2.500300 Malaysia 30 28JUL98 4 lira 3.344500 0.299000 Malta 31 28JUL98 4 peso 0.000321 3114.510000 Mexico 32 28JUL98 4 guilder 0.598900 1.669800 Netherlands 33 28JUL98 4 dollar 0.546100 1.831200 New Zealand 34 28JUL98 4 krone 0.171800 5.819500 Norway 35 28JUL98 4 rupee 0.040000 25.000000 Pakistan 36 28JUL98 4 new sol 0.839000 1.190000 Peru 37 28JUL98 4 peso 0.040900 24.450000 Philippines 38 28JUL98 4 zloty 0.000077 12959.01000 Poland 39 28JUL98 4 escudo 0.007949 125.800000 Portugal 40 28JUL98 4 riyal 0.267380 3.740000 Saudi Arabia 41 28JUL98 4 dollar 0.619000 1.615500 Singapore 42 28JUL98 4 rand 0.362300 2.759800 South Africa 43 28JUL98 4 won 0.001270 787.400000 South Korea 44 28JUL98 4 peseta 0.010612 94.230000 Spain 45 28JUL98 4 krona 0.186000 5.376000 Sweden 46 28JUL98 4 franc 0.763400 1.310000 Switzerland 47 28JUL98 4 dollar 0.039714 25.180000 Taiwan 48 28JUL98 4 baht 0.039450 25.350000 Thailand 49 28JUL98 4 lira 0.000144 6938.000000 Turkey 50 28JUL98 4 dirham 0.272300 3.672500 United Arab 51 28JUL98 4 new peso 0.000321 3120.010000 Uruguay 52 28JUL98 4 bolivar 0.015130 66.090000 Venezuela |
Note: If you want to run the examples in this book, access your online
HELP system, or contact your SAS Software Representative for information about
how to access the sample library files.
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