Statistical Analysis System (SAS) Programming Certification 2025 – 400 Free Practice Questions to Pass the Exam

The main purpose of a DATA step in SAS is to manipulate, read, and write SAS datasets. This core functionality allows users to create new data sets from existing ones, modify dataset values, and manage data effectively throughout the data analysis process. The DATA step is fundamental in defining how data is structured, cleaned, and processed before any analysis or reporting is conducted.

Within the DATA step, users can use a variety of programming techniques such as conditional statements, loops, and functions to transform data according to specific needs. This step lays the groundwork for subsequent analysis steps, including the use of PROC steps for statistical analysis or reporting.

While graphing and charting, data distribution, and statistical modeling are important components of data analysis in SAS, they typically occur after the DATA step has been utilized to prepare the data. The primary focus of the DATA step itself is on data manipulation and management.