Author Description
For programmers who want to know how to apply the basic language structures; convert external data into SAS datasets; create reports with only one or two lines of code; make SAS data available to other software; optimize program design, dataset storage, and efficiency; and customize print reports. Annotation copyright Book News, Inc. Portland, Or.
Menrva's Summary
THE THESIS
This guide investigates the practical application of SAS language structures to streamline data processing, reporting, and system efficiency. Monte Aronson provides a technical framework designed for programmers seeking to bridge the gap between raw external data and structured SAS datasets. The text emphasizes the optimization of program design and storage, offering methodologies for integrating SAS outputs with external software environments.
THE SCOPE MAP
What You Will Find
- Techniques for converting external data into SAS datasets
- Methods for creating reports using minimal code
- Strategies for optimizing dataset storage and program efficiency
- Procedures for customizing print reports and data interoperability
Scope Limits
- Advanced statistical modeling or complex analytical theory
- Historical development of the SAS language
- Non-IBM mainframe specific implementations
THE AUTHORITY PERSPECTIVE
Experts recognize this text as a practical, task-oriented resource for developers working within the IBM mainframe environment. Readers frequently note the focus on efficiency and direct application, making it a functional reference for those needing to master core SAS programming structures.
Page Count:
322
Publication Date:
1990-01-01
Publisher:
McGraw-Hill
ISBN-10:
0070024677
ISBN-13:
9780070024670
Computer Science
Programming
Data Analysis
Technical Reference
Software Development
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