Additional Data Sets

Data Sets for the Storing and Managing Data in SAS Files Section

DATA Step to Create the Data Set USCLIM.HIGHTEMP

libname usclim 'SAS-data-library';

data usclim.hightemp;
   input State $char14. City $char14. Temp_f Date $ Elevation;
   datalines;
Arizona       Parker         127 07jul05 345
Kansas        Alton          121 25jul36 1651
Nevada        Overton        122 23jun54 1240
North Dakota  Steele         121 06jul36 1857
Oklahoma      Tishomingo     120 26jul43 6709
Texas         Seymour        120 12aug36 1291
;

DATA Step to Create the Data Set USCLIM.HURRICANE

libname usclim 'SAS-data-library';

data usclim.hurricane;
   input @1 State $char11. @13 Date date7. Deaths Millions Name $;
   format Date worddate18. Millions dollar6.;
   informat State $char11. Date date9.;
   label Millions='Damage';
   datalines;
Mississippi 14aug69 256 1420 Camille
Florida     14jun72 117 2100 Agnes
Alabama     29aug79 5   2300 Frederick
Texas       15aug83 21  2000 Alicia
Texas       03aug80 28  300  Allen
;

DATA Step to Create the Data Set USCLIM.LOWTEMP

libname usclim 'SAS-data-library';

data usclim.lowtemp;
   input State $char14. City $char14. Temp_f Date $ Elevation;
   datalines;
Alaska        Prospect Creek -80 23jan71 1100
Colorado      Maybell        -60 01jan79 5920
Idaho         Island Prk Dam -60 18jan43 6285
Minnesota     Pokegama Dam   -59 16feb03 1280
North Dakota  Parshall       -60 15feb36 1929
South Dakota  McIntosh       -58 17feb36 2277
Wyoming       Moran          -63 09feb33 6770
;

DATA Step to Create the Data Set USCLIM.TEMPCHNG

libname usclim 'SAS-data-library';

data usclim.tempchng;
   input @1 State $char13. @15 Date date7. Start_f End_f Minutes;
   Diff=End_f-Start_f;
   informat State $char13. Date date7.;
   format Date date9.;
   datalines;
North Dakota  21feb18 -33 50  720
South Dakota  22jan43 -4  45  2
South Dakota  12jan11 49  -13 120
South Dakota  22jan43 54  -4  27
South Dakota  10jan11 55  8   15
;

Note on Catalogs USCLIM.BASETEMP and USCLIM.REPORT

The catalogs USCLIM.BASETEMP and USCLIM.REPORT are used to show how the DATASETS procedure processes both SAS data sets and catalogs. The contents of these catalogs are not important in the context of this book. In most cases, you would use SAS/AF, SAS/FSP, or other SAS products to create catalog entries. You can test the examples in this section without having these catalogs.

DATA Step to Create the Data Set CLIMATE.HIGHTEMP

libname climate 'SAS-data-library';

data climate.hightemp;
   input Place $ 1-13 Date $ Degree_f Degree_c;
   datalines;
Libya         13sep22 136 58
California    10jul13 134 57
Israel        21jun42 129 54
Argentina     11dec05 120 49
Saskatchewan  05jul37 113 45
;

DATA Step to Create the Data Set CLIMATE.LOWTEMP

libname climate 'SAS-data-library';

data climate.lowtemp;
   input Place $ 1-13 Date $ Degree_f Degree_c;
   datalines;
Antarctica    21jul83 -129 -89
Siberia       06feb33 -90  -68
Greenland     09jan54 -87  -66
Yukon         03feb47 -81  -63
Alaska        23jan71 -80  -67
;

DATA Step to Create the Data Set PRECIP.RAIN

libname precip 'SAS-data-library';

data precip.rain;
   input Place $ 1-12 @13 Date date7. Inches Cms;
   format Date date9.;
   datalines;
La Reunion  15mar52 74 188
Taiwan      10sep63 49 125
Australia   04jan79 44 114
Texas       25jul79 43 109
Canada      06oct64 19 49
;

DATA Step to Create the Data Set PRECIP.SNOW

libname precip 'SAS-data-library';

data precip.snow;
   input Place $ 1-12 @13 Date date7. Inches Cms;
   format Date date9.;
   datalines;
Colorado    14apr21 76 193
Alaska      29dec55 62 158
France      05apr69 68 173
;

DATA Step to Create the Data Set STORM.TORNADO

libname storm 'SAS-data-library';

data storm.tornado;
   input State $ 1-12 @13 Date date7. Deaths Millions;
   format Date date9. Millions dollar6.;
   label Millions='Damage in Millions';
   datalines;
Iowa        11apr65 257 200
Texas       11may70 26  135
Nebraska    06may75 3   400
Connecticut 03oct79 3   200
Georgia     31mar73 9   115
;

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