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PROC SQL is a powerful Base SAS Procedure that combines the functionality of DATA and PROC steps into a single step.
PROC SQL can sort, summarize, subset, join (merge), and concatenate datasets, create new variables, print the results or create a new table or view all in one step!
Learn how to use the PROC SQL calculated keyword in SAS to create new columns without a data step.
Subqueries in PROC SQL can transform your data manipulation tasks in SAS. Whether you’re a beginner or looking to refine your skills, our guide on ‘proc sql subquery’ offers detailed examples, insights, and comparisons with joins to enhance your SAS programming journey
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
Debugging Proc SQL code can be challenging, especially when dealing…
PROC SQL is a powerful tool, but it can be challenging to debug queries. In this blog post, we’ll discuss some PROC SQL options to help you troubleshoot your queries.
Sorting is an important process when working with data. It allows you to organize the data in a way that makes it easier to work with and understand. There are a number of ways to sort data, but one of the most popular methods is SAS Proc SQL Order By.
The dataset can use the Truncated String Comparison Operators (such as =:, >:, and <=:) for truncated string comparisons. However, you find that the Colon operator is not available in PROC SQL. In Proc SQL, you can use the Truncated String Operators such as EQT, GTT, LTT, GET, LET and NET.
The SQL pass-through SAS Facility is an extension to the…
Ever wondered how to insert data into tables using PROC…
