How to convert a Unix datetime to a SAS datetime
You can convert a Unix datetime to a SAS datetime by adding the number of seconds in 10 years. The Number of seconds between 01JAN1960 and 01JAN1970 is 315619200.
You can convert a Unix datetime to a SAS datetime by adding the number of seconds in 10 years. The Number of seconds between 01JAN1960 and 01JAN1970 is 315619200.
SAS Audit trails are crucial in maintaining the integrity and accuracy of data. In the field of SAS programming, audit trails provide a systematic record of all modifications and updates made to SAS datasets, allowing programmers and data managers to track changes and identify potential errors or inconsistencies in data.
You can use the XLSX engine to read from and write to a Microsoft Excel file as if it were a SAS data set. The LIBNAME statement associates a libref with the XLSX engine to access tables in a workbook. The XLSX engine enables you to connect to an Excel .xlsx data source and to specify an external data object name in a two-level SAS name
When working with large datasets, it is often useful to identify the maximum value within each group of observations. For example, you may want to find the highest sales amount for each salesperson, or the tallest tree in each forest. SAS provides several procedures that can help you find the maximum value in a group, including PROC SQL, PROC MEANS, PROC UNIVARIATE, and PROC RANK.
The RESOLVE function is a SAS function that evaluates and resolves a macro variable reference in a character string.
Learn how to compare two tables in SAS. This blog covers various SQL queries and datastep merge to find the common, unique, and updated rows in the two tables. Improve your data analysis skills with SAS by mastering table comparison techniques.
In this article, we will walk you through the process of creating a quoted list separated by spaces in SAS.
Learn how to calculate confidence intervals in SAS with our step-by-step guide. Discover different methods to obtain confidence intervals using procedures such as MEANS and UNIVARIATE, and explore how to interpret and use confidence intervals in your data analysis.
Discover how to effectively analyze your data using the Proc SQL Case When Statement. Learn tips and tricks for maximizing its potential for efficient data analysis and gain a better understanding of conditional data analysis