Attention : This code requires administrator privileges.
This example details the use of the DATASETS procedure to manage and modify attributes of SAS© data sets. It includes creating a composite index to improve search performance, applying formats and informats, assigning meaningful labels to variables and data sets, defining a sort order, and adding security via a read password. The goal is to demonstrate comprehensive and autonomous management of data set metadata and structure without external dependencies.
Data Analysis
Type : CREATION_INTERNE
Examples use generated data (datalines).
1 Code Block
PROC DATASETS Data
Explanation :
The program begins by setting system options (pagesize, linesize, nodate, pageno, source) and assigning the 'health' library to a file system path. Two fictitious data sets, 'group' and 'oxygen', are then created in this library to simulate test data.
The DATASETS procedure is then invoked with the NOLIST option to prevent displaying the library inventory. The MODIFY statement is used for the 'group' data set to add the label 'Test Subjects', assign a read password 'green', and specify that it is sorted by 'lname'. A composite index named 'vital' is created on the 'birth' and 'salary' variables, ensuring unique values and excluding missing observations. Formats and informats for the 'birth' variable are defined, and a detailed label is assigned to the 'salary' variable.
For the 'oxygen' data set, the MODIFY statement is used to rename the 'oxygen' variable to 'intake' and assign it a descriptive label. The procedure concludes with the QUIT statement.
The program begins by setting system options (pagesize, linesize, nodate, pageno, source) and assigning the 'health' library to a file system path. Two fictitious data sets, 'group' and 'oxygen', are then created in this library to simulate test data.
The DATASETS procedure is then invoked with the NOLIST option to prevent displaying the library inventory. The MODIFY statement is used for the 'group' data set to add the label 'Test Subjects', assign a read password 'green', and specify that it is sorted by 'lname'. A composite index named 'vital' is created on the 'birth' and 'salary' variables, ensuring unique values and excluding missing observations. Formats and informats for the 'birth' variable are defined, and a detailed label is assigned to the 'salary' variable.
For the 'oxygen' data set, the MODIFY statement is used to rename the 'oxygen' variable to 'intake' and assign it a descriptive label. The procedure concludes with the QUIT statement.
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| 1 | options pagesize=40 linesize=80 nodate pageno=1 SOURCE; |
| 2 | |
| 3 | LIBNAME health 'SAS-library'; |
| 4 | |
| 5 | /* Création de jeux de données fictifs pour l'exemple */ |
| 6 | DATA health.group; |
| 7 | INPUT lname $ birth :date7. salary; |
| 8 | FORMAT birth date7.; |
| 9 | DATALINES; |
| 10 | Smith 01JAN80 50000 |
| 11 | Jones 15MAR85 60000 |
| 12 | Brown 20APR75 55000 |
| 13 | ;RUN; |
| 14 | |
| 15 | DATA health.oxygen; |
| 16 | INPUT oxygen; |
| 17 | DATALINES; |
| 18 | 10 |
| 19 | 12 |
| 20 | 11 |
| 21 | ;RUN; |
| 22 | |
| 23 | PROC DATASETS library=health nolist; |
| 24 | modify group (label='Test Subjects' read=green sortedby=lname); |
| 25 | index create vital=(birth salary) / nomiss unique; |
| 26 | informat birth date7.; |
| 27 | FORMAT birth date7.; |
| 28 | label salary='current salary excluding bonus'; |
| 29 | modify oxygen; |
| 30 | rename oxygen=intake; |
| 31 | label intake='Intake Measurement'; |
| 32 | QUIT; |
| 33 |
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Expert Advice
Michael
Responsable de l'infrastructure Viya.
« lways use the NOLIST option in production environments to keep your SAS Log clean and focused on errors or warnings. Furthermore, remember that creating an index with the UNIQUE option will cause the procedure to fail if duplicates already exist, making it an excellent "last line of defense" for data quality. »