Sas Practice for Prep Guide

/**********************************************************************\

| Copyright (C) 2006 by SAS Institute Inc., Cary, NC, USA. |

| |

| SAS (R) is a registered trademark of SAS Institute Inc. |

| |

| This program sets up practice data for SAS(R) Certification Prep |

| Guide: Base Programming for SAS(R)9. |

\**********************************************************************/

options nosource nonotes nocardimage validvarname=V7 replace;

/* create sample data */

data _null_;

/* determine fileref paths, delimiters, file options */

length fileno fileyes $18 fileset $ 1024;

oshost=trim(substr(symget('sysscp'),1,2));

filepath=trim(pathname("sasuser"));

if (oshost = "OS") and (length(symget('sysscp'))=2) then

do;

filepath=scan(filepath,1);

dlm=".";

fileno="disp=(new,catlg)";

fileyes="disp=(old,catlg)";

end;

else do;

host=trim(substr(symget('sysscp'),1,3));

if (host in ('WIN','OS2')) then

do;


dlm="\";

fileno="";

fileyes="";

end;

else if (host = "VMS") then

do;

filepath="";

dlm="";

fileno="";

fileyes="";

end;

else

do;


dlm="/";

fileno="";

fileyes="";

end;

end;

/* assign filerefs */

array filelst1{8} $ filesas1-filesas8 ('accnt','accnt01','accnt02',

'accnt03',

'accnt04','activity','fee',

'printfee');

do i=1 to dim(filelst1);

if (host = "CMS") then fileset=trim(filelst1(i)) || " sas *";

else fileset=trim(filepath) || dlm || trim(filelst1(i)) || ".sas";

isfile=fileexist(fileset);

if isfile=1 then fileopts=trim(fileyes);

else fileopts=trim(fileno);

rc=filename(filelst1(i),fileset,"",fileopts);

end;

array filelst2{21} $ filedt1-filedt21 ('aug99dat',

'bookdata','cardata', 'choldata','excdata1',

'excdata2','excdata3','invent1','invent2',

'jan98dat','orderdat','personel','powerdat',

'pubdata','saledata', 'satdata1','satdata2',

'survey1','tests','tests2','vandata');

do i=1 to dim(filelst2);

if (host="CMS") then fileset=trim(filelst2(i)) || " data *";

else fileset=trim(filepath) || dlm || trim(filelst2(i)) || ".dat";

isfile=fileexist(fileset);

if isfile=1 then fileopts=trim(fileyes);

else fileopts=trim(fileno);

rc=filename(filelst2(i),fileset,"",fileopts);

end;

run;

/* create SAS programs*/

data _null_;

infile cards4 missover length=l;

length text $ 50;

input text $varying50. l;

file accnt03;

put text;

datalines4;

data work.reliable;

set clini.insure;

where company='FRED SMYTHE;

run;

proc print data=work.reliable

var id name company total balancedue;

run;

;;;;

run;

data _null_;


length text $ 70;


file accnt04;

put text;

datalines4;

data work.billing;

set sasuser.insure;

run;

proc print data=work.billing keylabel;

label total='Total Balance' balancedue='Balance Due';

run;

;;;;

run;

data _null_;


length text $ 50;


file accnt;

put text;

datalines4;

data work.balance;

set sasuser.insure;

run;

proc print data=work.balnce;

run;

;;;;

run;

data _null_;


length text $ 50;


file accnt02;

put text;

datalines4;

data work.balnew2;

set sasuser.insure;

run;

proc print data=work.balnew2

var id name total balancedue;

run;

;;;;

run;

data _null_;


length text $ 50;


file accnt01;

put text;

datalines4;

data work.balnew1;

set sasuser.insure;

run;

proc print data=work.balnew1;

var id name total balancedue;

;;;;

run;

data _null_;


length text $ 50;


file activity;

put text;

datalines4;

proc print data=sasuser.admit;

var id name actlevel;

run;

;;;;

run;

data _null_;


length text $ 50;


file fee;

put text;

datalines4;

data sasuser.admit2;

set sasuser.admit;run;

;;;;

run;

data _null_;


length text $ 50;


file printfee;

put text;

datalines4;

proc print data=sasuser.admit2;

run;

;;;;

run;

/* create raw data files*/

data _null_;

infile cards missover length=l;

length text $ 50;


file aug99dat pad lrecl=80;

put text;

datalines;

100 02AUG99 R 6 30.00 180.00

103 03AUG99 C 20 3.99 79.80

102 04AUG99 T 4 200.00 800.00

103 08AUG99 T 5 200.00 1000.00

102 09AUG99 R 15 30.00 450.00

101 10AUG99 C 100 3.99 399.00

101 12AUG99 R 18 30.00 540.00

104 15AUG99 T 10 200.00 2000.00

103 18AUG99 C 9 3.99 35.91

100 22AUG99 T 3 200.00 600.00

102 23AUG99 R 10 30.00 300.00

100 25AUG99 C 100 3.99 399.00

101 30AUG99 T 3 200.00 600.00

;

run;

data _null_;


length text $ 50;


file bookdata pad lrecl=80;

put text;

datalines;

AES358 PAPER 24

AES358 HARDBACK 43

AMZ114 PAPER 256

AMZ114 HARDBACK 235

ARS102 PAPER 28

ARS102 HARDBACK 58

ASD862 PAPER 287

ASD862 HARDBACK 145

AZX002 PAPER 17

AZX002 HARDBACK 92

BAE487 PAPER 67

BAE487 HARDBACK 81

BMW243 PAPER 120

BMW243 HARDBACK 181

BOP102 PAPER 228

BOP810 HARDBACK 134

BSX892 PAPER 73

BSX892 HARDBACK 109

BSY101 PAPER 187

BSY101 HARDBACK 91

BXT894 PAPER 0

BXT258 HARDBACK 8

BZZ543 PAPER 15

BZZ543 HARDBACK 33

;

run;

data _null_;


length text $ 50;


file cardata pad lrecl=80;

put text;

datalines;

1998 US CARS 194,324.12

1998 US TRUCKS 142,290.30

1998 CANADA CARS 10,483.44

1998 CANADA TRUCKS 93,543.64

1998 MEXICO CARS 22,500.57

1998 MEXICO TRUCKS 10,098.88

1998 JAPAN CARS 15,066.43

1998 JAPAN TRUCKS 40,700.34

1997 US CARS 213,504.05

1997 US TRUCKS 116,735.65

1997 CANADA CARS 904.89

1997 CANADA TRUCKS 76,576.12

1997 MEXICO CARS 10,899.56

1997 MEXICO TRUCKS 13,000.45

1997 JAPAN CARS 10,000.18

1997 JAPAN TRUCKS 50,458.22

;

run;

data _null_;


length text $ 50;


file choldata;

file choldata pad lrecl=80;

put text;

datalines;

BECKER ED429174.1

DE HARTE ED102273.4

JOHNSON MK832187.7

LYLES SL934220.7

MC CAULEYAD524202.3

MORGAN AD243229.5

PETERSON MK208259.4

ROBERTS ED097203.7

THOMAS SL029198.7

VAN HORN MK148178.7

;

run;

data _null_;


length text $ 50;


file excdata1 pad lrecl=80;

put text;

datalines;

1001 sedentary 1002 daily 1003 moderate

1004 sedentary 1005 moderate 1006 sedentary

1007 daily 1008 daily 1009 moderate

1010 sedentary 1011 daily 1012 sedentary

1013 moderate 1014 moderate 1015 sedentary

1016 daily 1017 moderate 1018 moderate




1028 daily 1029 moderate 1030 moderate


1034 sedentary 1035 daily 1036 moderate



;

run;

data _null_;


length text $ 50;



put text;

datalines;

1001 TENNIS SWIMMING AEROBICS

1002 FOOTBALL BASKETBALL TENNIS

1003 AEROBICS SWIMMING CYCLING

1004 GOLF JOGGING TENNIS

1005 WALKING AEROBICS TENNIS


1007 FOOTBALL GOLF TENNIS

1008 BASEBALL SWIMMING CYCLING

1009 AEROBICS WALKING SQUASH



1012 GOLF SWIMMING TENNIS


1014 SWIMMING WALKING SQUASH



1017 FOOTBALL BASEBALL GOLF


1019 WALKING GOLF TENNIS




1023 AEROBICS GOLF CYCLING

1024 AEROBICS WALKING GOLF





1029 TENNIS SQUASH VOLLEYBALL

1030 SWIMMING VOLLEYBALL BASKETBALL




1034 AEROBICS WALKING GOLF


1036 WALKING SWIMMING AEROBICS



1039 AEROBICS WALKING SOFTBALL

1040 BASKETBALL AEROBICS TENNIS

1041 TENNIS TENNIS TENNIS

1042 BASKETBALL SWIMMING TENNIS

;

run;

data _null_;


length text $ 50;



put text;

datalines;


1052 JOGGING BASKETBALL


1054 GOLF JOGGING TENNIS

1055 WALKING AEROBICS

1056 TENNIS SWIMMING

1057 FOOTBALL GOLF TENNIS


1059 AEROBICS WALKING SQUASH

1060 WALKING


1062 GOLF SWIMMING TENNIS


1064 SWIMMING WALKING SQUASH


1066 TENNIS

1067 FOOTBALL BASEBALL GOLF


1069 WALKING GOLF TENNIS


1071 TENNIS SWIMMING


1073 AEROBICS GOLF CYCLING

1074 AEROBIC



1077 VOLLEYBALL


1079 TENNIS SQUASH VOLLEYBALL

1080 SWIMMING VOLLEYBALL




1084 GOLF


1086 WALKING SWIMMING AEROBICS

1087 BASKETBALL TENNIS


1089 AEROBICS WALKING

1090 BASKETBALL AEROBICS TENNIS

;

run;

data _null_;


length text $ 50;


file invent1 pad lrecl=80;

put text;

datalines;

AES358:GERALD:H:3

AES358:GERALD:P:6

AMZ114:MORGAN:H:2

AMZ114:MORGAN:P:12

ARS102:VANDEER:H:7

ARS102:VANDEER:P:12

ASD862:REEDY:H:0

ASD862:REEDY:P:5

AZX002:NESBITT:H:4

AZX002:NESBITT:P:8

BAE487:LOGANN:H:3

BAE487:LOGANN:P:0

BMW243:MARSHALL:H:4

BMW243:MARSHALL:P:4

BOP102:HAINS:H:8

BOP102:HAINS:P:15

BSX892:NICKELS:H:11

BSX892:NICKELS:P:22

BXT894:BARSTOW:H:7

BXT894:BARSTOW:P:11

BZZ543:DURNING:H:3

BZZ543:DURNING:P:9

;

run;

data _null_;


length text $ 50;


file invent2 pad lrecl=80;

put text;

datalines;

CFR009 SPOTTISWOOD H 3

CFR009 SPOTTISWOOD P 6

RJH340 ROCHESTER H 2

RJH340 ROCHESTER P 12

KRS102 DASEM H 7

KRS102 DASEM P 11

ASD777 ROLLINGS H 0

ASD777 ROLLINGS P 5

NZE002 FRIEDMANN H 4

NZE002 FRIEDMANN P 8

BAE487 HOLLOWAIT H 3

BAE487 HOLLOWAIT P 18

UNM578 MARSHALL H 1

UNM578 MARSHALL P 15

LAR333 PLAGENHOEF H 9

LAR333 PLAGENHOEF P 21

BSX892 PORTERFIELD H 5

BSX892 PORTERFIELD P 8

TXT894 HELLINGS H 7

TXT894 HELLINGS P 7

;

run;

data _null_;


length text $ 50;


file jan98dat pad lrecl=80;

put text;

datalines;

P 1095 SMITH, HOWARD

C 01-08-98 $45.0

C 01-17-98 $37.5

P 1096 BARCLAY, NICK

C 01-09-98 $156.5

P 1097 REISCH, DEBORAH

C 01-02-98 $109.0

P 1099 WILSON, ERNEST

C 01-03-98 $45.0

C 01-05-98 $45.0

P 1107 SCOTT, JANELLE

C 01-22-98 $45.0

P 1112 BARTON, LISA

C 01-10-98 $37.0

C 01-15-98 $45.0

P 1131 THOMPSON, SUSAN

C 01-30-98 $65.0

P 1145 JONES, MARGARET

C 01-10-97 $45.0

P 1149 LAWSON, JIM

C 01-22-98 $37.0

C 01-31-98 $45.0

P 1181 SPRINGER, ADAM

C 01-26-98 $37.0

P 1201 GUNTHER, ROGER

C 01-26-97 $115.0

C 01-31-97 $18.0

;

run;

data _null_;


length text $ 50;


file orderdat pad lrecl=80;

put text;

datalines;

123 AES358 07SEP99 HARDBACK 6

104 AES358 07SEP99 PAPER 12

104 AMZ114 31AUG99 HARDBACK 6

104 ARS102 14SEP99 HARDBACK 6

123 ARS102 14SEP99 PAPER 12

199 ASD862 31AUG99 PAPER 6

199 AZX002 07SEP99 HARDBACK 12

211 BAE487 07SEP99 PAPER 12

211 BMW243 31AUG99 PAPER 12

166 BZZ543 07SEP99 HARDBACK 6

121 CFR009 07SEP99 HARDBACK 6

211 RJH340 14SEP99 PAPER 12

121 ASD777 31AUG99 HARDBACK 6

166 NZE002 14SEP99 HARDBACK 6

108 BAE487 14SEP99 PAPER 12

166 UNM578 31AUG99 PAPER 6

108 UNM578 07SEP99 HARDBACK 12

174 LAR333 07SEP99 PAPER 12

108 BSX892 31AUG99 PAPER 6

174 TXT894 14SEP99 HARDBACK 6

;

run;

data _null_;


length text $ 50;


file personel pad lrecl=80;

put text;

datalines;

ADAMS, LARRY 1352

133 SALES

32,696.78

BICKETT, PAT 1238

133 SALES

35,099.50

BIRCH, CARLA 1252

133 SALES

37,098.71

CARTER, WANDA 1424

105 MARKETING

17,098.71

DAWSON, EVAN 1266

112 PUBLICATIONS

29,996.63

DODSON, WENDY 1004

101 EDUCATION

31,875.46

HARRIS, WALTER 1112

109 RESEARCH

31,875.46

JONES, HARRY 1522

101 EDUCATION

25,309.00

JORDAN, RACHEL 1143

101 EDUCATION

28,309.00

LANDE, HALLIE 1084

105 MARKETING

28,567.23

LIEBEE, MARY 1442

112 PUBLICATIONS

28,945.89

MANN, NAOMI 1331

109 RESEARCH

27,354.56

REEVES, NEAL 1255

109 RESEARCH

36,180.00

;

run;

data _null_;


length text $ 50;


file powerdat pad lrecl=80;

put text;

datalines;

17JAN99 16FEB99 1425 .0735

17FEB99 20MAR99 1374 .0735

21MAR99 18APR99 1268 .0735

19APR99 19MAY99 1218 .0735

20MAY99 19JUN99 1253 .0795

20JUN99 18JUL99 1349 .0835

19JUL99 17AUG99 1421 .0835

18AUG99 18SEP99 1475 .0835

19SEP99 18OCT99 1278 .0835

19OCT99 17NOV99 1233 .0795

18NOV99 15DEC99 1381 .0735

15DEC99 14JAN00 1402 .0735

;

run;

data _null_;


length text $ 50;


file pubdata pad lrecl=80;

put text;

datalines;

ASL324 SMITH AND SONS 1998

LAS484 MAJOR UNIVERSITY PRESS 1989

IOD859 SMITH AND SONS 1988

REU701 TOWN PRESS 1995

WRE142 LITTLE FEET 1990

ITE246 RAVENPRESS 1988

AIE987 HANSON AND ASSOCIATES 1999

NWD143 TOWN PRESS 1987

FLE546 MAJOR UNIVERSITY PRESS 1996

QER306 MAJOR UNIVERSITY PRESS 1989

RGA452 RAVEN PRESS 1990

BNC430 SMITH AND SONS 1988

NPC123 BARTON BOOKS 1981

YCO574 TOWN PRESS 1992

IWA937 UNIVERSE BOOKS 1991

GCD274 RAVENPRESS 1994

UIT436 UNIVERSE BOOKS 1988

IOK257 RAVENPRESS 1990

QAH186 LITTLE FEET 1990

AIE987 HANSON AND ASSOCIATES 1999

;

run;

data _null_;


length text $ 50;


file saledata pad lrecl=80;

put text;

datalines;

SMITH JAN 140097.98 440356.70

DAVIS JAN 385873.00 178234.00

JOHNSON JAN 98654.32 339485.00

SMITH FEB 225983.09 12250.00

DAVIS FEB 88456.23 55564.00

JOHNSON FEB 135837.34 32423.00

SMITH MAR 0.00 584593.00

DAVIS MAR 89342.00 173222.00

JOHNSON MAR 398573.90 193567.00

;

run;

data _null_;


length text $ 50;


file satdata1 recfm=v;

put text;

datalines;

182-04-7814ASPDEN530

302-57-5023ATWOOD480

123-89-8470BROSNAN560

152-64-0014BROSSO780

813-63-7456CUTCHINS790

186-79-3143HOLERBACH670

187-46-5981HOLMBERG510

879-41-3513JENKE600

891-72-6989LAMBERSON490

816-74-1456LIVINGOOD620

168-41-8671MAUPIN550

185-05-8749MCBENNETT650

518-18-5024MEYER720

583-12-1458NEWTON780

845-17-8145PAINTER640

542-79-3458PITTMAN710

125-78-2853RICHARDS770

528-75-1378ROLLINS680

549-37-1542SALEEBY590

345-97-4239VICKERS730

;

run;

data _null_;


length text $ 50;


file satdata2 recfm=v;

put text;

datalines;

182-04-7814 09FEB99 530 04MAY99 610

302-57-5023 09FEB99 480 04MAY99 530

123-89-8470 09FEB99 560 04MAY99 570 13JUL99 610

152-64-0014 09FEB99 780

813-63-7456 09FEB99 790

186-79-3143 09FEB99 670

187-46-5981 09FEB99 510 04MAY99 590

879-41-3513 09FEB99 600

891-72-6989 09FEB99 490 04MAY99 540 13JUL99 600

816-74-1456 09FEB99 620

168-41-8671 09FEB99 550 04MAY99 610

185-05-8749 09FEB99 650

518-18-5024 09FEB99 720

583-12-1458 09FEB99 780

845-17-8145 09FEB99 640 04MAY99 600 13JUL99 660

542-79-3458 09FEB99 710

125-78-2853 09FEB99 770

528-75-1378 09FEB99 680 04MAY99 700

549-37-1542 09FEB99 590 04MAY99 630

345-97-4239 09FEB99 730

;

run;

data _null_;


length text $ 50;


file survey1 pad lrecl=80;

put text;

datalines;

7 Y N Y

8 Y Y Y

9 N N

7 N Y

10 Y Y Y

6 N Y Y

7 N N Y

10 N

9 Y Y Y

8 Y N Y

10 N N Y

10 N N

10 Y Y Y

9 Y Y N

8 N Y N

8 Y

7 Y Y

9 N N Y

9 Y Y Y

7 N Y

;

run;

data _null_;


length text $ 50;


file tests pad lrecl=80;

put text;

datalines;

2458 Murray, W 72 185 128 12 38 D

2462 Almers, C 68 171 133 10 5 I

2501 Bonaventure, T 78 177 139 11 13 I

2523 Johnson, R 69 162 114 9 42 S

2539 LaMance, K 75 168 141 11 46 D

2544 Jones, M 79 187 136 12 26 N

2552 Reberson, P 69 158 139 15 41 D

2555 King, E 70 167 122 13 13 I

2563 Pitts, D 71 159 116 10 22 S

2568 Eberhardt, S 72 182 122 16 49 N

2571 Nunnelly, A 65 181 141 15 2 I

2572 Oberon, M 74 177 138 12 11 D

2574 Peterson, V 80 164 137 14 9 D

2575 Quigley, M 74 152 Q13 11 26 I

2578 Cameron, L 75 158 108 14 27 I

2579 Underwood, K 72 165 127 13 19 S

2584 Takahashi, Y 76 163 135 16 7 D

2586 Derber, B 68 176 119 17 35 N

2588 Ivan, H 70 182 126 15 41 N

2589 Wilcox, E 78 189 138 14 57 I

2595 Warren, C 77 170 136 12 10 S

;

run;

data _null_;


length text $ 50;


file tests2 pad lrecl=80;

put text;

datalines;

2458 Murray, W 72 185 128 12 38 D

2462 Almers, C 68 171 133 10 5 I

2501 Bonaventure, T 78 177 139 11 13 I

2523 Johnson, R 69 162 114 9 42 S

2539 LaMance, K 75 168 141 11 46 D

2544 Jones, M 79 187 136 12 26 N

2552 Reberson, P 69 158 139 15 41 D

2555 King, E 70 167 122 13 13 I

2563 Pitts, D 71 159 116 10 22 S

2568 Eberhardt, S 72 182 122 16 49 N

2571 Nunnelly, A 65 181 141 15 2 I

2572 Oberon, M 74 177 138 12 11 D

2574 Peterson, V 80 164 137 14 9 D

2575 Quigley, M 74 152 113 11 26 I

2578 Cameron, L 75 158 108 14 27 I

2579 Underwood, K 72 165 127 13 19 S

2584 Takahashi, Y 76 163 135 16 7 D

2586 Derber, B 68 176 119 17 35 N

2588 Ivan, H 70 182 126 15 41 N

2589 Wilcox, E 78 189 138 14 57 I

2595 Warren, C 77 170 136 12 10 S

;

run;

data _null_;


length text $ 50;


file vandata pad lrecl=80;

put text;

datalines;

NORTHWEST 1 $113,993.23

SOUTHWEST 1 $151,834.93

NORTHEAST 1 $92,385.19

SOUTHEAST 1 $103,985.99

NORTHWEST 2 $226,934.50

SOUTHWEST 2 $95,345.76

NORTHEAST 2 $163,934.89

SOUTHEAST 2 $113,935.37

;

run;

/* create SAS data sets in sasuser */

data sasuser.admit;

input ID $ 1-4 Name $ 6-19 Sex $ 22 Age 26-27 Date 30-31

Height 36-37 Weight 43-45 ActLevel $ 50-53 Fee 57-62;

format fee 7.2;

datalines;

2458 Murray, W M 27 1 72 168 HIGH 85.20

2462 Almers, C F 34 3 66 152 HIGH 124.80

2501 Bonaventure, T F 31 17 61 123 LOW 149.75

2523 Johnson, R F 43 31 63 137 MOD 149.75

2539 LaMance, K M 51 4 71 158 LOW 124.80

2544 Jones, M M 29 6 76 193 HIGH 124.80

2552 Reberson, P F 32 9 67 151 MOD 149.75

2555 King, E M 35 13 70 173 MOD 149.75

2563 Pitts, D M 34 22 73 154 LOW 124.80

2568 Eberhardt, S F 49 27 64 172 LOW 124.80

2571 Nunnelly, A F 44 19 66 140 HIGH 149.75

2572 Oberon, M F 28 17 62 118 LOW 85.20

2574 Peterson, V M 30 6 69 147 MOD 149.75

2575 Quigley, M F 40 8 69 163 HIGH 124.80

2578 Cameron, L M 47 5 72 173 MOD 124.80

2579 Underwood, K M 60 22 71 191 LOW 149.75

2584 Takahashi, Y F 43 29 65 123 MOD 124.80

2586 Derber, B M 25 23 75 188 HIGH 85.20

2588 Ivan, H F 22 20 63 139 LOW 85.20

2589 Wilcox, E F 41 16 67 141 HIGH 149.75

2595 Warren, C M 54 7 71 183 MOD 149.75

;

data sasuser.admitjune;

input ID $ 1-4 Name $ 6-19 Sex $ 22 Age 25-26 @29 Date mmddyy8.

Height 39-40 Weight 43-45 ActLevel $ 48-51 Fee 54-59;

format date mmddyy8. fee 6.2;

datalines;

2588 Ivan, H F 22 06/02/97 63 139 LOW 85.20

2586 Derber, B M 25 06/04/97 75 188 HIGH 85.20

2458 Murray, W M 27 06/05/97 72 168 HIGH 85.20

2572 Oberon, M F 28 06/05/97 62 118 LOW 85.20

2544 Jones, M M 29 06/07/97 76 193 HIGH 124.80

2574 Peterson, V M 30 06/08/97 69 147 MOD 149.75

2501 Bonaventure, T F 31 06/09/97 61 123 LOW 149.75

2552 Reberson, P F 32 06/10/97 67 151 MOD 149.75

2462 Almers, C F 34 06/12/97 66 152 HIGH 124.80

2563 Pitts, D M 34 06/14/97 73 154 LOW 124.80

2555 King, E M 35 06/14/97 70 173 MOD 149.75

2575 Quigley, M F 40 06/06/97 69 163 HIGH 124.80

2589 Wilcox, E F 41 06/17/97 67 141 HIGH 149.75

2523 Johnson, R F 43 06/17/97 63 137 MOD 149.75

2584 Takahashi, Y F 43 06/18/97 65 123 MOD 124.80

2571 Nunnelly, A F 44 06/19/97 66 140 HIGH 149.75

2578 Cameron, L M 47 06/20/97 72 173 MOD 124.80

2568 Eberhardt, S F 49 06/21/97 64 172 LOW 124.80

2539 LaMance, K M 51 06/22/97 71 158 LOW 124.80

2595 Warren, C M 54 06/15/97 71 183 MOD 149.75

2579 Underwood, K M 60 06/11/97 71 191 LOW 149.75

;

data sasuser.company;

input Name $ 1-22 Age 24-25 Sex $ 27 SSN $ 29-39;

datalines;

Morrison, Michael 32 M

Rudelich, Herbert 39 M 029-46-9261

Vincent, Martina 34 F 074-53-9892

Benito, Gisela 32 F 228-88-9649

Sirignano, Emily 12 F 442-21-8075

Harbinger, Nicholas 36 M 446-93-2122

Phillipon, Marie-Odile 28 F 776-84-5391

Gunter, Thomas 27 M 929-75-0218

;

data sasuser.credit;

input Account $ 1-4 Name $ 6-22 Type $ 24 Transaction $ 26-31;

datalines;

1118 ART CONTUCK D 57.69

2287 MICHAEL WINSTONE D 145.89

6201 MARY WATERS C 45.00

7821 MICHELLE STANTON A 304.45

6621 WALTER LUND C 234.76

1086 KATHERINE MORRY A 64.98

0556 LEE McDONALD D 70.82

7821 ELIZABETH WESTIN C 188.23

0265 JEFFREY DONALDSON C 78.90

1010 MARTIN LYNN D 150.55

;

data sasuser.diabetes;

input ID $ 1-4 Sex $ 6 Age 8-9 Height 11-12 Weight 14-16

Pulse 18-20 FastGluc 22-24 PostGluc 26-28;

datalines;

2304 F 16 61 102 100 568 625

1128 M 43 71 218 76 156 208

4425 F 48 66 162 80 244 322

1387 F 57 64 142 70 177 206

9012 F 39 63 157 68 257 318

6312 M 52 72 240 77 362 413

5438 F 42 62 168 83 247 304

3788 M 38 73 234 71 486 544

9125 F 56 64 159 70 166 215

3438 M 15 66 140 67 492 547

1274 F 50 65 153 70 193 271

3347 M 53 70 193 78 271 313

2486 F 63 65 157 70 152 224

1129 F 48 61 137 69 267 319

9723 M 52 75 219 65 348 403

8653 M 49 68 185 79 259 311

4451 M 54 71 196 81 373 431

3279 M 40 70 213 82 447 504

4759 F 60 68 164 71 155 215

6488 F 59 64 154 75 362 409

;

data sasuser.europe;

input Flight $ 1-3 @5 Date date7. @13 Depart time5.

Orig $ 19-21 Dest $ 23-25 Miles 27-30 Mail 32-34

Freight 36-38 Boarded 40-42 Transferred 44-45

NonRevenue 47 Deplaned 49-51 Capacity 53-55 DayOfMonth 57-58

Revenue 60-65;

format Date date7. Depart time5.;

datalines;

821 04MAR99 9:31 LGA LON 3442 403 209 167 17 7 222 250 1 150634

271 04MAR99 11:40 LGA PAR 3856 492 308 146 8 3 163 250 1 156804

271 05MAR99 12:19 LGA PAR 3857 366 498 177 15 5 227 250 1 190098

821 06MAR99 14:56 LGA LON 3442 345 243 167 13 4 222 250 1 150634

821 07MAR99 13:17 LGA LON 3635 248 307 215 14 6 158 250 1 193930

271 07MAR99 9:31 LGA PAR 3442 353 205 155 18 7 172 250 2 166470

821 08MAR99 11:40 LGA LON 3856 391 395 186 8 1 114 250 2 167772

271 08MAR99 12:19 LGA PAR 3857 366 279 152 7 4 187 250 2 163248

821 09MAR99 14:56 LGA LON 3442 219 368 203 6 3 210 250 2 183106

271 09MAR99 13:17 LGA PAR 3635 357 282 159 15 4 191 250 2 170766

821 10MAR99 9:31 LGA LON 3442 389 479 188 8 6 211 250 3 169576

271 10MAR99 11:40 LGA PAR 3856 415 463 182 9 6 153 250 3 195468

622 03MAR99 12:19 LGA FRA 3857 296 414 180 16 4 200 250 3 187636

821 03MAR99 14:56 LGA LON 3442 448 282 151 17 4 172 250 3 143561

271 03MAR99 13:17 LGA PAR 3635 352 351 147 29 7 183 250 3 123456

219 04MAR99 9:31 LGA LON 3442 331 376 232 18 0 250 250 4 189065

387 04MAR99 11:40 LGA CPH 3856 395 217 81 21 1 103 250 4 196540

622 04MAR99 12:19 LGA FRA 3857 296 232 137 14 4 155 250 4 165456

821 04MAR99 14:56 LGA LON 3442 403 209 167 9 6 182 250 4 170766

271 04MAR99 13:17 LGA PAR 3635 492 308 146 13 4 163 250 4 125632

219 05MAR99 9:31 LGA LON 3442 485 267 160 4 3 167 250 5 197456

387 05MAR99 11:40 LGA CPH 3856 393 304 142 8 2 152 250 5 134561

622 05MAR99 12:19 LGA FRA 3857 340 311 185 11 3 199 250 5 125436

271 05MAR99 13:17 LGA PAR 3635 366 498 177 22 4 203 250 5 128972

219 06MAR99 9:31 LGA LON 3442 388 298 163 14 6 183 250 6 162343

821 06MAR99 14:56 LGA LON 3442 345 243 167 16 2 185 250 6 129560

219 07MAR99 9:31 LGA LON 3442 421 356 241 9 0 250 250 7 134520

387 07MAR99 11:40 LGA CPH 3856 546 204 131 5 6 142 250 7 135632

622 07MAR99 12:19 LGA FRA 3857 391 423 210 22 5 237 250 7 107865

821 07MAR99 14:56 LGA LON 3442 248 307 215 11 5 231 250 7 196736

271 07MAR99 13:17 LGA PAR 3635 353 205 155 21 4 180 250 7 153423

219 08MAR99 9:31 LGA LON 3442 447 299 183 11 3 197 250 8 106753

387 08MAR99 11:40 LGA CPH 3856 415 367 150 9 3 162 250 8 128564

622 08MAR99 12:19 LGA FRA 3857 346 . 176 5 6 187 250 8 178543

821 08MAR99 14:56 LGA LON 3442 391 395 186 11 5 202 250 8 125344

271 08MAR99 13:17 LGA PAR 3635 366 279 152 20 4 176 250 8 133345

219 09MAR99 9:31 LGA LON 3442 356 547 211 18 6 235 250 9 122766

387 09MAR99 11:40 LGA CPH 3856 363 297 128 14 3 145 250 9 134523

622 09MAR99 12:19 LGA FRA 3857 317 421 173 11 5 189 250 9 100987

821 09MAR99 14:56 LGA LON 3442 219 368 203 11 4 218 250 9 166543

271 09MAR99 13:17 LGA PAR 3635 357 282 159 18 5 182 250 9 126543

219 10MAR99 9:31 LGA LON 3442 272 370 167 7 7 181 250 10 198744

387 10MAR99 11:40 LGA CPH 3856 336 377 154 18 5 177 250 10 109885

622 10MAR99 12:19 LGA FRA 3857 272 363 129 12 6 147 250 10 134459

821 10MAR99 14:56 LGA LON 3442 389 479 188 5 4 197 250 10 129745

271 10MAR99 13:17 LGA PAR 3635 415 463 182 9 7 198 250 10 134976

;

data sasuser.finance;

input SSN $ 1-11 Name $ 13-24 Salary 26-30 +1 Date mmddyy6.;

format date mmddyy8.;

datalines;

029-46-9261 Rudelich 35000 021595

074-53-9892 Vincent 35000 052297

228-88-9649 Benito 28000 030496

442-21-8075 Sirignano 5000 112295

446-93-2122 Harbinger 33900 070896

776-84-5391 Phillipon 29750 121596

929-75-0218 Gunter 27500 043097

;

data sasuser.funddrive;

input LastName $ 1-9 Qtr1 15-16 Qtr2 23-24 Qtr3 31-32 Qtr4 39-40;

datalines;

ADAMS 18 18 20 20

ALEXANDER 15 18 15 10

APPLE 25 25 25 25

ARTHUR 10 25 20 30

AVERY 15 15 15 15

BAREFOOT 20 20 20 20

BAUCOM 25 20 20 30

BLAIR 10 10 5 10

BLALOCK 5 10 10 15

BOSTIC 20 25 30 25

BRADLEY 12 16 14 18

BRADY 20 20 20 20

BROWN 18 18 18 18

BRYANT 16 18 20 18

BURNETTE 10 10 10 10

CHEUNG 30 30 30 30

LEHMAN 20 20 20 20

VALADEZ 14 18 40 25

;

data sasuser.heart;

input Patient $ 1-3 Sex 8 Survive $ 12-15 Shock $ 19-26

Arterial 31-33 Heart 38-40 Cardiac 45-47 Urinary 53-55;

datalines;

203 1 SURV NONSHOCK 88 95 66 110

54 1 DIED HYPOVOL 83 183 95 0

664 2 SURV CARDIO 72 111 332 12

210 2 DIED BACTER 74 97 369 0

101 2 DIED NEURO 80 130 291 0

102 2 SURV OTHER 87 107 471 65

529 1 DIED CARDIO 103 106 217 15

524 2 DIED CARDIO 145 99 156 10

426 1 SURV OTHER 68 77 410 75

509 2 SURV OTHER 79 84 256 90

742 1 DIED HYPOVOL 100 54 135 0

609 2 DIED NONSHOCK 93 101 260 90

318 2 DIED OTHER 72 81 410 405

412 1 SURV BACTER 61 87 296 44

601 1 DIED BACTER 84 101 260 377

402 1 SURV CARDIO 88 137 312 75

98 2 SURV CARDIO 84 87 260 377

4 1 SURV HYPOVOL 81 149 406 200

50 2 SURV HYPOVOL 72 111 332 12

2 2 DIED OTHER 101 114 424 97

;

data sasuser.insure;

input ID $ 1-4 Name $ 6-19 Policy $ 21-25 Company $ 27-37

PctInsured 39-41 Total 43-49 BalanceDue 57-62;

format balancedue 6.2;

datalines;

2458 Murray, W 32668 MUTUALITY 100 98.64 0.00

2462 Almers, C 95824 RELIABLE 80 780.23 156.05

2501 Bonaventure, T 87795 A&R 80 47.38 9.48

2523 Johnson, R 39022 ACME 50 122.07 61.04

2539 LaMance, K 63265 PARNASSUS 50 87.35 43.68

2544 Jones, M 92478 ESSENTIAL 80 262.08 52.42

2552 Reberson, P 25530 USA INC. 60 518.53 207.41

2555 King, E 18744 ACME 80 135.97 27.19

2563 Pitts, D 60976 HOMELIFE 80 1554.12 310.82

2568 Eberhardt, S 81589 RURITAN 50 346.33 173.17

2571 Nunnelly, A 99120 EMPLOYERS 100 583.55 0.00

2572 Oberon, M 44544 ACME 100 4537.77 0.00

2574 Peterson, V 75986 FRED SMYTHE 60 569.99 228.00

2575 Quigley, M 97048 RELIABLE 50 198.01 99.01

2578 Cameron, L 42351 COVINGTON 50 222.82 111.41

2579 Underwood, K 14592 ESSENTIAL 100 541.64 0.00

2584 Takahashi, Y 54219 FRED SMYTHE 60 466.46 186.58

2586 Derber, B 74653 RELIABLE 60 590.28 236.11

2588 Ivan, H 83809 HOMELIFE 100 474.50 0.00

2589 Wilcox, E 94034 ACME 60 530.49 212.20

2595 Warren, C 20347 RELIABLE 60 411.11 164.44

;

data sasuser.laguardia;

input Flight $ 1-3 @5 Date date7. @14 Depart time5.

Orig $ 22-24 Dest $ 28-30 Boarded 33-35

Transferred 38-39 Deplaned 42-44 Revenue 47-52;

format Date date7. Depart time5.;

datalines;

219 04MAR99 9:31 LGA LON 232 18 250 189065

219 05MAR99 9:31 LGA LON 160 4 167 197456

219 06MAR99 9:31 LGA LON 163 14 183 162343

219 07MAR99 9:31 LGA LON 241 9 250 134520

219 08MAR99 9:31 LGA LON 183 11 197 106753

219 09MAR99 9:31 LGA LON 211 18 235 122766

219 10MAR99 9:31 LGA LON 167 7 181 198744

271 04MAR99 11:40 LGA PAR 146 8 163 156804

271 05MAR99 12:19 LGA PAR 177 15 227 190098

271 07MAR99 9:31 LGA PAR 155 18 172 166470

271 08MAR99 12:19 LGA PAR 152 7 187 163248

271 09MAR99 13:17 LGA PAR 159 15 191 170766

271 10MAR99 11:40 LGA PAR 182 9 153 195468

271 03MAR99 13:17 LGA PAR 147 29 183 123456

271 04MAR99 13:17 LGA PAR 146 13 163 125632

271 05MAR99 13:17 LGA PAR 177 22 203 128972

271 07MAR99 13:17 LGA PAR 155 21 180 153423

271 08MAR99 13:17 LGA PAR 152 20 176 133345

271 09MAR99 13:17 LGA PAR 159 18 182 126543

271 10MAR99 13:17 LGA PAR 182 9 198 134976

387 04MAR99 11:40 LGA CPH 81 21 103 196540

387 05MAR99 11:40 LGA CPH 142 8 152 134561

387 07MAR99 11:40 LGA CPH 131 5 142 135632

387 08MAR99 11:40 LGA CPH 150 9 162 128564

387 09MAR99 11:40 LGA CPH 128 14 145 134523

387 10MAR99 11:40 LGA CPH 154 18 177 109885

622 03MAR99 12:19 LGA FRA 180 16 200 187636

622 04MAR99 12:19 LGA FRA 137 14 155 165456

622 05MAR99 12:19 LGA FRA 185 11 199 125436

622 07MAR99 12:19 LGA FRA 210 22 237 107865

622 08MAR99 12:19 LGA FRA 176 5 187 178543

622 09MAR99 12:19 LGA FRA 173 11 189 100987

622 10MAR99 12:19 LGA FRA 129 12 147 134459

821 04MAR99 9:31 LGA LON 167 17 222 150634

821 06MAR99 14:56 LGA LON 167 13 222 150634

821 07MAR99 13:17 LGA LON 215 14 158 193930

821 08MAR99 11:40 LGA LON 186 8 114 167772

821 09MAR99 14:56 LGA LON 203 6 210 183106

821 10MAR99 9:31 LGA LON 188 8 211 169576

821 03MAR99 14:56 LGA LON 151 17 172 143561

821 04MAR99 14:56 LGA LON 167 9 182 170766

821 06MAR99 14:56 LGA LON 167 16 185 129560

821 07MAR99 14:56 LGA LON 215 11 231 196736

821 08MAR99 14:56 LGA LON 186 11 202 125344

821 09MAR99 14:56 LGA LON 203 11 218 166543

821 10MAR99 14:56 LGA LON 188 5 197 129745

;

data sasuser.loans;

input Account $ 1-8 Amount 10-15 Rate 17-21 Months 23-25

Payment 27-32;

format amount dollar8. rate percent8.2 payment dollar10.2;

datalines;

101-1092 22000 .10 60 467.43

101-1731 114000 .095 360 958.57

101-1289 10000 .105 36 325.02

101-3144 3500 .105 12 308.52

103-1135 8700 .105 24 403.47

103-1994 18500 .10 60 393.07

103-2335 5000 .105 48 128.02

103-3864 87500 .095 360 735.75

103-3891 30000 .0975 360 257.75

;

data sasuser.newadmit;

input ID $ 1-4 Name $ 6-19 Sex $ 21 Age 23-24 Date 26-27

Height 29-30 Weight 32-34 ActLevel $ 36-39 Fee 41-46

MeterHgt 48-54 KgWgt 56-62;

format fee 6.2 meterhgt 7.5 kgwgt 7.4;

datalines;

2458 Murray, W M 27 1 72 168 HIGH 85.20 1.82880 76.3636

2462 Almers, C F 34 3 66 152 HIGH 124.80 1.67640 69.0909

2501 Bonaventure, T F 31 17 61 123 LOW 149.75 1.54940 55.9091

2523 Johnson, R F 43 31 63 137 MOD 149.75 1.60020 62.2727

2539 LaMance, K M 51 4 71 158 LOW 124.80 1.80340 71.8182

2544 Jones, M M 29 6 76 193 HIGH 124.80 1.93040 87.7273

2552 Reberson, P F 32 9 67 151 MOD 149.75 1.70180 68.6364

2555 King, E M 35 13 70 173 MOD 149.75 1.77800 78.6364

2563 Pitts, D M 34 22 73 154 LOW 124.80 1.85420 70.0000

2568 Eberhardt, S F 49 27 64 172 LOW 124.80 1.62560 78.1818

2571 Nunnelly, A F 44 19 66 140 HIGH 149.75 1.67640 63.6364

2572 Oberon, M F 28 17 62 118 LOW 85.20 1.57480 53.6364

2574 Peterson, V M 30 6 69 147 MOD 149.75 1.75260 66.8182

2575 Quigley, M F 40 8 69 163 HIGH 124.80 1.75260 74.0909

2578 Cameron, L M 47 5 72 173 MOD 124.80 1.82880 78.6364

2579 Underwood, K M 60 22 71 191 LOW 149.75 1.80340 86.8182

2584 Takahashi, Y F 43 29 65 123 MOD 124.80 1.65100 55.9091

2586 Derber, B M 25 23 75 188 HIGH 85.20 1.90500 85.4545

2588 Ivan, H F 22 20 63 139 LOW 85.20 1.60020 63.1818

2589 Wilcox, E F 41 16 67 141 HIGH 149.75 1.70180 64.0909

2595 Warren, C M 54 7 71 183 MOD 149.75 1.80340 83.1818

;

data sasuser.records;

input Account $ 1-8 Amount 10-14 Rate 16-20 Months 22-24

Payment 26-31 Code $ 33;

format amount dollar8. rate percent8.2 payment dollar7.2;

datalines;

101-1092 22000 .10 60 467.43 1

101-1731 14000 .095 360 958.57 2

101-1289 10000 .105 36 325.02 2

101-3144 3500 .105 12 308.52 1

103-1135 8700 .105 24 403.47 1

103-1994 18500 .10 60 393.07 2

103-2335 5000 .105 48 128.02 1

103-3864 87500 .095 360 735.75 1

103-3891 30000 .0975 360 257.75 2

;

run;

data sasuser.repertory;

input Play $ 1-19 Role $ 21-37 SSN $ 39-49 @51 Date mmddyy6.;


datalines;

The Glass Menagerie Jim O'Connor 029-46-9261 092397

The Dear Departed Henry Slater 029-46-9261 112297

No Exit Estelle 074-53-9892 071197

Happy Days Winnie 074-53-9892 081397

The Dear Departed Mrs. Jordan 074-53-9892 112297

The Glass Menagerie Amanda Wingfield 228-88-9649 092397

The Dear Departed Mrs. Slater 228-88-9649 112297

The Dear Departed Victoria Slater 442-21-8075 112297

No Exit Garcin 446-93-2122 071197

Happy Days Willie 446-93-2122 081397

The Dear Departed Ben Jordan 446-93-2122 112297

No Exit Inez 776-84-5391 071197

The Glass Menagerie Laura Wingfield 776-84-5391 092397

No Exit Valet 929-75-0218 071197

The Glass Menagerie Tom Wingfield 929-75-0218 092397

The Dear Departed Abel Merryweather 929-75-0218 112297

;

data sasuser.stress2;

input ID $ 1-4 Name $ 6-19 RestHR 23-24 MaxHR 29-31

RecHR 35-37 TimeMin 43-44 TimeSec 51-52

Tolerance $ 58;

datalines;

2458 Murray, W 72 185 128 12 38 D

2462 Almers, C 68 171 133 10 5 I

2501 Bonaventure, T 78 177 139 11 13 I

2523 Johnson, R 69 162 114 9 42 S

2539 LaMance, K 75 168 141 11 46 D

2544 Jones, M 79 187 136 12 26 N

2552 Reberson, P 69 158 139 15 41 D

2555 King, E 70 167 122 13 13 I

2563 Pitts, D 71 159 116 10 22 S

2568 Eberhardt, S 72 182 122 16 49 N

2571 Nunnelly, A 65 181 141 15 2 I

2572 Oberon, M 74 177 138 12 11 D

2574 Peterson, V 80 164 137 14 9 D

2575 Quigley, M 74 152 113 11 26 I

2578 Cameron, L 75 158 108 14 27 I

2579 Underwood, K 72 165 127 13 19 S

2584 Takahashi, Y 76 163 135 16 7 D

2586 Derber, B 68 176 119 17 35 N

2588 Ivan, H 70 182 126 15 41 N

2589 Wilcox, E 78 189 138 14 57 I

2595 Warren, C 77 170 136 12 10 S

;


input ID $ 1-4 Name $ 8-19 RestHR 25-26 MaxHR 33-35 RecHR 41-43

TimeMin 51-52 TimeSec 61-62 Tolerance $ 70 Year 75-78;

datalines;

2458 Murray, W 72 185 128 12 38 D 1998

2462 Almers, C 68 171 133 10 5 I 1998

2523 Johnson, R 69 162 114 9 42 S 1998

2539 LaMance, K 75 168 141 11 46 D 1998

2555 King, E 70 167 122 13 13 I 1998

2563 Pitts, D 71 159 116 10 22 S 1998

2572 Oberon, M 74 177 138 12 11 D 1998

2574 Peterson, V 80 164 137 14 9 D 1998

2575 Quigley, M 74 152 113 11 26 I 1998

2584 Takahashi, Y 76 163 135 16 7 D 1998

2586 Derber, B 68 176 119 17 35 N 1998

2589 Wilcox, E 78 189 138 14 57 I 1998

;



TimeMin 48-49 TimeSec 57-58 Tolerance $ 65 Year 70-73;

datalines;

2501 Bonaventure, T 78 177 139 11 13 I 1999

2544 Jones, M 79 187 136 12 26 N 1999

2552 Reberson, P 69 158 139 15 41 D 1999

2568 Eberhardt, S 72 182 122 16 49 N 1999

2571 Nunnelly, A 65 181 141 15 2 I 1999

2578 Cameron, L 75 158 108 14 27 I 1999

2579 Underwood, K 72 165 127 13 19 S 1999

2588 Ivan, H 70 182 126 15 41 N 1999

2595 Warren, C 77 170 136 12 10 S 1999

;

data sasuser.stresstest;


TimeMin 48-49 TimeSec 57-58 Tolerance $ 65 @70 Date mmddyy8.;


datalines;

72 185 128 12 38 D 05/22/97

2462 Almers, C 68 171 133 10 5 I 05/22/97

2501 Bonaventure, T 78 177 139 11 13 I 05/23/97

2578 Cameron, L . 158 108 14 27 I 05/23/97

2586 Derber, B 68 176 119 17 35 N 05/23/97

2568 Eberhardt, S 72 182 122 16 49 05/24/97

2588 Ivan, H 70 182 126 15 41 N 05/24/97

2523 Johnson, R 69 162 114 9 42 S 05/24/97

2544 Jones, M 79 187 . 12 26 N 05/25/97

2555 King, E 70 167 122 13 13 I 05/25/97

2539 LaMance, K 75 168 141 11 46 D 05/26/97

2571 Nunnelly, A 65 181 141 15 2 I 05/26/97

2572 Oberon, M 74 177 138 12 11 D 05/27/97

2574 Peterson, V 80 164 137 14 9 D 05/27/97

2563 Pitts, D 71 159 116 10 22 S 05/28/97

2575 Quigley, M 74 152 113 11 26 I 05/28/97

2552 Reberson, P 69 158 139 15 41 D 05/29/97

2584 Takahashi, Y 76 163 135 16 7 D 05/29/97

2579 Underwood, K 72 165 127 13 19 S 05/30/97

2595 Warren, C 77 170 136 12 10 S 05/30/97

2589 Wilcox, E 78 189 138 14 57 I 05/31/97

;

data sasuser.survey;

input FirstName $ 1-8 Item1 10 Item2 13 Item3 16 Item4 19

Item5 22 Item6 25 Item7 28 Item8 31 Item9 34

Item10 37 Item11 40 Item12 43 Item13 46 Item14 49

Item15 52 Item16 55 Item17 58 Item18 61;

datalines;

Alicia 4 3 5 4 3 4 1 2 2 3 1 2 2 3 1 1 2 3

Bernard 2 1 4 3 1 2 5 4 5 2 5 3 4 5 5 3 4 5

Betsy 5 3 4 5 5 4 4 4 3 5 4 3 4 2 3 5 2 3

Carmela 4 5 4 2 3 5 2 1 2 3 2 3 1 2 3 1 4 2

;

data work.talent1;

input LastName $ 1-13 FirstName $ 15-22 Address1 $ 24-44

Address2 $ 46-61 @63 Rate dollar6.;

format rate dollar6.;

datalines;

SAMUELS LAWRENCE 123 PEACHBLOSSOM LANE WILLIAMS, NJ $1,200

INGER STEVEN 4 LAKEVIEW DR RIVERTON, NJ $2,400

NARANJA IGNES 666 TORROBA CENTERVILLE, NJ $2,400

LEBEAU MARTINE 4434 CENTER AVE. JEFFERSON, NJ $2,100

OPULEE FELICIA 5 QUINCE BLVD KNEELAND, NJ $3,600

EATON AARON 75 SORRELL LAKE DRIVE MERCED, NJ $1,800

NEWTON ISAH 8 HOLLY LANE RIVERTON, NJ $2,400

WILLOBY CHESTER 900 STAR ROUTE DRIVE WINTSON, NJ $2,700

HOLLOWAY RANDY 67 H STREET RIVERTON, NJ $3,600

JACOBY WILMA 789A DEPARTURE ROAD CHESAPEAKE, NJ $1,200

BUXTER JEROME 127 SILT STREET HILLSBORO, NJ $2,700

HARGROVE BRADLEY 5721 INVERNESS LANE CANTON, NJ $1,800

GARDE OLGA 45 FIFTH STREET CANTON, NJ $2,400

RUFFLE ROSE 3 FOIL AVE MOUNTAINVIEW, NJ $2,700

TURLINGTON BETTY 090 JICAMA STREET WASHINGTON, NJ $2,100

THORNER CHARLES 1111 TELEGRAPH AVE TAYLOR, NJ $2,700

BRIETENBERGER WALDO 6 HIGHLAND BLVD STANTON, NJ $2,400

WESTLEY KIP 868 MESA DRIVE GLENVIEW, NJ $2,700

DORTON DAVID 7 OVERLAND ROAD JEFFERSON, NJ $2,100

SPECTOR TERRI 8 FILDEN CIRCLE STANFORD, NJ $2,400

NOME HORACE 6 OAKTREE LANE PITTSBORO, NJ $2,400

HOLDEN RHETT 89 SPOONS DRIVE HOLDON, NJ $2,700

LAKER DORIS 80 SETTING CIRCLE HOLDON, NJ $2,700

SPECTRUM TERRI 8 HIDDEN CIRCLE EDGETON, NJ $2,400

;

data work.talent2;

input Agency $ 1-20 Comment $ 22-51;

datalines;

TALENT TALENT TALENT southern accent

GEORGE STICKS industrial

UNIVERSAL directing,speaks spanish

HORIZONS commercials,french accent

SYCAMORE mime award winner

GOLDEN GUILD

GOLDEN GUILD radio broadcasting,dialects

ACTORS SQUARE british accent,commercials

LAURELS producer,writer

ARTS TALENT

FINDERS film

ALL STARS stage,directing,commercials

ALL STARS sports casting

ALL STARS stuntman,speaks french

UNLIMITED film

STARS AND STRIPES age range 30-45

SETTINGS extensive dp video training

STARS AND STRIPES rodeo

UNIVERSAL LIGHTS speaks spanish,several accents

MODELS AND MAGIC modeling,singing,mostly stage

HORIZONS

HARDY STELSON newscaster,ex dj

AKA TALENT stage only

MODELS AND MAGIC modeling,singing,stage

;

data work.talent3;

input ID $ 1-4 Phone 6-12 @14 LastHired date9.

@24 BirthDate date9. Height $ 34-35 Month 37-38 Day 40-41;

format lasthired birthdate date9.;

datalines;

327M 5553489 08APR2000 25APR1978 69 4 8

102M 5556012 20AUG1999 16MAR1955 70 8 20

131F 5556781 16MAY1999 10SEP1976 64 6 25

709F 5554023 25JUN1999 08JAN1962 69 9 17

056F 5559909 17SEP1999 31JAN1930 59 12 10

287M 5557024 10DEC1999 14JUL1969 78 11 23

097F 5557045 23NOV1999 17AUG1972 68 11 12

070M 5555602 12NOV1999 14FEB1946 71 3 27

217M 5558114 27MAR2000 19MAY1963 71 7 18

118F 5559100 11OCT1999 06OCT1977 66 12 2

187M 5553688 18JUL1999 22MAR1925 76 1 7

035M 5555131 02DEC1999 23JUN1974 70 12 6

254F 5554950 07JAN2000 27FEB1940 63 8 25

167F 5558333 06DEC1999 27OCT1969 69 5 22

093F 5552525 25AUG1999 05NOV1963 57 2 25

261M 5557831 22MAY1999 01NOV1965 70 11 15

088M 5551006 25FEB2000 28MAY1950 69 9 17

134M 5559945 15NOV1999 16AUG1959 73 11 1

207M 5556563 17SEP1999 15APR1947 67 11 25

158F 5555613 01NOV1999 10JAN1971 65 10 28

065M 5552709 04DEC1999 23JUL1964 60 9 30

288M 5551856 25NOV1999 01JUL1965 73 2 22

134F 5554442 28OCT1999 18SEP1979 69 5 5

025F 5552442 30SEP1999 07MAY1971 65 10 15

;

data sasuser.talent;

merge work.talent1 work.talent2 work.talent3;

format rate dollar6. lasthired birthdate date9.;

run;

data sasuser.therapy;

input Date $ 1-7 AerClass 14-15 WalkJogRun 22-24 Swim 30-31;

datalines;

JAN1999 56 78 14

FEB1999 32 109 19

MAR1999 35 106 22

APR1999 47 115 24

MAY1999 55 121 31

JUN1999 61 114 67

JUL1999 67 102 72

AUG1999 64 76 77

SEP1999 78 77 54

OCT1999 81 62 47

NOV1999 84 31 52

DEC1999 102 44 55

JAN2000 37 91 83

FEB2000 41 102 27

MAR2000 52 98 19

APR2000 61 118 22

MAY2000 49 88 29

JUN2000 24 101 54

JUL2000 45 91 69

AUG2000 63 65 53

SEP2000 60 49 68

OCT2000 78 70 41

NOV2000 82 44 58

DEC2000 93 57 47

;

data sasuser.therapy1999;

input Month $ 1-2 Year 10-13 AerClass 20-21 WalkJogRun 29-31

Swim 37-38;

datalines;

01 1999 26 78 14

02 1999 32 109 19

03 1999 15 106 22

04 1999 47 115 24

05 1999 95 121 31

06 1999 61 114 67

07 1999 67 102 72

08 1999 24 76 77

09 1999 78 77 54

10 1999 81 62 47

11 1999 84 31 52

12 1999 92 44 55

;

data sasuser.therapy2000;

input Month $ 1-2 Year 10-13 AerClass 20-21 WalkJogRun 29-31

Swim 37-38;

datalines;

01 2000 37 91 83

02 2000 41 102 27

03 2000 52 98 19

04 2000 61 118 22

05 2000 49 88 29

06 2000 24 101 54

07 2000 45 91 69

08 2000 63 65 53

09 2000 60 49 68

10 2000 78 70 41

11 2000 82 44 58

12 2000 93 57 47

;

data sasuser.totals2000;

input Month $ 1-2 Therapy 11-13 NewAdmit 23-25 Treadmill 35-36;

datalines;

01 211 27 11

02 210 63 43

03 179 11 2

04 224 52 36

05 134 76 57

06 249 83 66

07 185 101 68

08 211 49 34

09 147 124 87

10 159 131 89

11 124 72 56

12 157 96 29

;

/* remove unwanted temporary data sets */

proc datasets library=work nodetails nolist;

delete talent1 talent2;

run;

quit;

data sasuser.mechanics;

attrib ID length=$4;

attrib LastName length=$9;

attrib FirstName length=$9;

attrib City length=$12;

attrib State length=$2;

attrib Gender length=$1;

attrib Salary length=8 format=8.2;

attrib Birth length=8 format=DATE7.;

attrib Hired length=8 format=DATE7.;

attrib HomePhone length=$12;

attrib SSN length=8;

attrib JobCategory length=$2;

attrib JobLevel length=$1;

infile datalines dsd;

input

ID

LastName

FirstName

City

State

Gender

Salary

Birth

Hired

HomePhone

SSN

JobCategory

JobLevel

;

datalines4;

1653,ALEXANDER,SUSAN,BRIDGEPORT,CT,G,35108,-2631,6798,203/675-7715,,ME,2

1400,APPLE,TROY,NEW YORK,NY,M,29769,-1515,6866,212/586-0808,,ME,1

1499,BAREFOOT,JOSEPH,PRINCETON,NJ,M,43025,-6456,3083,201/812-5665,,ME,3

1403,BOWDEN,EARL,BRIDGEPORT,CT,M,28072,-1065,7297,203/675-3434,,ME,1

1782,BROWN,JASON,STAMFORD,CT,M,35345,-390,7360,203/781-0019,,ME,2

1244,BRYANT,LEONARD,NEW YORK,NY,M,,-3042,5863,718/383-3334,,ME,2

1065,CHAPMAN,NEIL,NEW YORK,NY,M,35090,-10199,5488,718/384-5618,,ME,2

1129,COOK,BRENDA,NEW YORK,NY,F,3492.9,-3673,7171,718/383-2313,,ME,2

1406,FOSTER,GERALD,BRIDGEPORT,CT,M,351.85,-3948,5529,203/675-6363,,ME,2

1120,GARCIA,JACK,NEW YORK,NY,M,28619,257,7953,718/384-4930,,ME,1

1409,HARTFORD,RAYMOND,STAMFORD,CT,M,41551,-7924,3585,203/781-9697,,,

1121,HERNANDEZ,MICHAEL,NEW YORK,NY,M,29112,-94,7283,718/384-3313,,ME,1

1356,HOWARD,MICHAEL,NEW YORK,NY,M,36869,-5207,4073,212/586-8411,,ME,2

1292,HUNTER,HELEN,BRIDGEPORT,CT,F,36691,-2618,6395,203/675-4830,,ME,2

1440,JACKSON,LAURA,STAMFORD,CT,F,,-3380,7041,203/781-0088,,ME,2

1900,KING,WILLIAM,NEW YORK,NY,M,35105,-3505,5781,718/383-3698,,ME,2

1379,MORGAN,ALFRED,STAMFORD,CT,M,42264,-3795,4547,203/781-2216,,ME,3

1412,MURPHEY,JOHN,PRINCETON,NJ,N,27799,-5672,7281,201/812-4414,,ME,1

1423,OSWALD,LESLIE,MT. VERNON,NY,F,35773,-1324,6808,914/468-9171,,ME,2

1200,OVERMAN,MICHELLE,STAMFORD,CT,F,27816,-353,7534,203/781-1835,,ME,1

1521,PARKER,JAY,NEW YORK,NY,M,41526,-3183,6041,212/587-7603,,ME,3

1385,RAYNOR,MILTON,BRIDGEPORT,CT,M,43900,-3634,5207,203/675-2846,,ME,3

1432,REED,MARILYN,MT. VERNON,NY,F,35327,-3708,4792,914/468-5454,,ME,2

1420,ROUSE,JEREMY,PATERSON,NJ,M,43071,-2504,5684,201/732-9834,,ME,3

1882,TUCKER,ALAN,NEW YORK,NY,M,41538,-5285,2519,718/384-0216,,ME,3

1050,TUTTLE,THOMAS,WHITE PLAINS,NY,M,35167,-3090,5352,914/455-2119,,ME,2

1995,VARNER,ELIZABETH,NEW YORK,NY,F,28810,604,7935,718/384-7113,,ME,1

1418,WATSON,BERNARD,NEW YORK,NY,M,28005,-5388,7313,718/383-1298,,ME,1

1105,YOUNG,LAWRENCE,NEW YORK,NY,M,34805,-3590,6802,718/384-0008,,ME,2

;;;;

run;

data sasuser.navigators;







attrib JobCode length=$3;

attrib Salary length=8 format=8.2;





input

ID

LastName

FirstName

City

State

Gender

JobCode

Salary

Birth

Hired

HomePhone

;

datalines4;

1269,CASTON,FRANKLIN,STAMFORD,CT,M,NA1,41690,126,7640,203/781-3335

1935,FERNANDEZ,KATRINA,BRIDGEPORT,CT,,NA2,51081,-6485,3579,203/675-2962

1417,NEWKIRK,WILLIAM,PATERSON,NJ,",",NA2,52270,-2741,6278,201/732-6611

1839,NORRIS,DIANE,NEW YORK,YN,F,NA1,43433,-395,7857,718/384-1767

1111,RHODES,JEREMY,PRINCETON,NJ,M,NA1,40586,563,7612,201/812-1837

1352,RIVERS,SIMON,NEW YORK,NY,M,NA2,5379.8,-4044,5405,718/383-3345

1332,STEPHENSON,ADAM,BRIDGEPORT,CT,M,NA1,42178,-468,7097,203/675-1497

1443,WELLS,AGNES,STAMFORD,CT,F,NA1,422.74,-1137,7183,203/781-5546

;;;;

run;

data sasuser.pilots;







attrib JobCode length=$3;

attrib Salary length=8;





input

ID

LastName

FirstName

City

State

Gender

JobCode

Salary

Birth

Hired

HomePhone

;

datalines4;

1333,BLAIR,JUSTIN,STAMFORD,CT,M,PT2,88606,-3926,3331,203/781-1777

1739,BOYCE,JONATHAN,NEW YORK,NY,M,PT1,66517,-2560,6969,212/587-1247

1428,BRADY,CHRISTINE,STAMFORD,CT,F,PT1,68767,-634,7262,203/781-1212

1404,CARTER,DONALD,NEW YORK,NY,M,PT2,91376,-6882,2925,718/384-2946

1118,DENNIS,ROGER,NEW YORK,NY,M,PT3,111379,-10209,3277,718/383-1122

1905,GRAHAM,ALVIN,NEW YORK,NY,M,PT1,65111,109,7457,212/586-8815

1407,GRANT,DANIEL,MT. VERNON,NY,M,PT1,68096,-1011,6654,914/468-1616

1410,HARRIS,CHARLES,STAMFORD,CT,M,PT2,84685,-1701,5427,203/781-0937

1439,HARRISON,FELICIA,BRIDGEPORT,CT,F,PT1,70736,-2854,6830,203/675-4987

1545,HUNTER,CLYDE,STAMFORD,CT,M,PT1,66130,-4522,6726,203/781-1119

1777,LUFKIN,ROY,NEW YORK,NY,M,PT3,109630,-7402,3462,718/383-4413

1106,MARSHBURN,JASPER,STAMFORD,CT,M,PT2,89632,-5166,4614,203/781-1457

1333,NEWKIRK,SANDRA,PRINCETON,NJ,F,PT2,84536,-1941,5949,201/812-3331

1478,NEWTON,JAMES,NEW YORK,NY,M,PT2,84203,-4525,6874,212/587-5549

1556,PENNINGTON,MICHAEL,NEW YORK,NY,M,PT1,71349,-2746,7287,718/383-5681

1890,STEPHENSON,ROBERT,NEW YORK,NY,M,PT2,85896,-7467,2888,718/384-9874

1107,THOMPSON,WAYNE,NEW YORK,NY,M,PT2,89977,-6412,2600,718/384-3785

1830,TRIPP,KATHY,BRIDGEPORT,CT,F,PT2,84471,-5329,4049,203/675-2479

1928,UPCHURCH,LARRY,WHITE PLAINS,NY,M,PT2,89858,-6313,6771,914/455-5009

1076,VENTER,RANDALL,NEW YORK,NY,M,PT1,66558,290,7218,718/383-2321

;;;;

run;

data sasuser.staff;

infile datalines;

input ID $ 1-4 Name $ 6-17 @19 DOB

WageCategory $ 26 @28 WageRate

@36 Bonus;

format wagerate bonus 7.2;

datalines;

1351 Farr, Sue -4685 S 3392.50 1187.38

161 Cox, Kay B -5114 S 5093.75 1782.81

212 Moore, Ron -2415 S 1813.30 634.65

2512 Ruth, G H -2819 S 1572.50 550.37

2532 Hobbs, Roy -780 H 13.48 500.00

282 Shaw, Rick -3090 S 2192.25 767.29

3131 Gant, Amy -10199 H 13.50 500.00

341 Mann, Mary 290 H 13.55 500.00

3551 Cobb, Joy F -636 H 13.65 500.00

3782 Bond, Jim S -4045 S 2247.50 786.63

381 Smith, Anna -3493 S 2082.75 728.96

3922 Dow, Tony -4472 S 2960.00 1036.00

412 Star, Burt -1412 S 2300.00 805.00

4331 King, Jan S -3170 H 11.85 500.00

442 Lewis, Ed D -3590 S 3420.00 1197.00

452 Fox, Jim E -5166 S 3902.35 1365.82

4551 Wong, Kim P -6412 S 3442.50 1204.88

472 Hall, Joe B 563 S 2262.50 791.88

482 Chin, Mike -2586 S 2938.00 1028.30

4921 Smyth, Nan -1444 H 15.33 500.00

5002 Welch, W B -832 S 5910.75 2068.76

5112 Delgado, Ed -4146 S 4045.85 1416.05

511 Vega, Julie -822 S 4480.50 1568.18

5132 Overby, Phil -3129 S 6855.90 2399.57

5151 Coxe, Susan -10209 S 3163.00 1107.05

1351 Farr, Sue -4685 S 3392.50 1187.38

;

run;

%let text1=%str( Sample data sets and files are ready.);

%put;

%put &text1;

%put;

options source notes;

Date post:	15-Oct-2014
Category:	Documents
Upload:	nousheenthakur
View:	50 times
Download:	4 times

Sas Practice for Prep Guide

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