Whether you're just starting with SAS programming or looking to refresh your concepts, understanding the core terminology in SAS is essential. This post covers commonly used SAS terms you'll frequently encounter while working with data in SAS

📚 Why Learn SAS Terminology?
SAS (Statistical Analysis System) is a powerful tool used for data management, analytics, and reporting. If you want to write effective SAS code or interpret results correctly, learning the language of SAS is the first step.
🧠25 Common SAS Terms You Must Know
1. Dataset
A structured table containing rows (observations) and columns (variables). It's the primary data format in SAS, stored as .sas7bdat
.
2. Variable
A column in a dataset representing a specific type of data (e.g., age, name, salary). Also called a field.
3. Observation
A single row of data in a dataset, representing one record or case (e.g., a customer).
4. Libref
A nickname or alias assigned to a SAS library using the LIBNAME
statement. It points to a folder containing datasets.
5. Format
Determines how data is displayed (e.g., numeric as currency, dates in DDMMYY format).
6. Informat
Defines how SAS reads and interprets raw data during input (e.g., reading a date string as a SAS date).
7. Missing Value
A value that’s not available for a variable. In SAS, missing numeric values are represented by a dot (.
), and character values as a blank space.
8. PROC
Short for Procedure. SAS PROCs are pre-built routines that perform analysis or operations like sorting, summarizing, or modeling.
9. DATA Step
The building block of SAS programs used to read, modify, or create datasets.
10. SAS Program
A file containing a series of DATA and PROC steps. The standard file extension is .sas
.
11. SAS Log
Displays messages from SAS when a program runs—includes notes, errors, and warnings. Always check the log to debug issues.
12. SAS Output
The result of your program (tables, reports, statistics), which can be viewed in the Output window or exported.
13. Engine
A part of SAS that reads or writes to a data format. Each data type (SAS dataset, Excel, etc.) uses an appropriate engine.
14. Library
A collection of one or more SAS files or datasets stored in a directory.
15. View
A virtual dataset that contains instructions for deriving data from other sources but doesn’t store actual data.
16. Descriptor Portion
Metadata about a dataset—includes variable names, types, lengths, and labels.
17. Data Portion
The actual content (values) stored in the dataset’s rows and columns.
18. SQL (PROC SQL)
Allows use of Structured Query Language within SAS to query and manage data just like in traditional databases.
19. Join / Merge
Combining datasets based on a common key. Use PROC SQL
for joins or DATA step
for merges.
20. Label
A descriptive name attached to a variable for more readable output.
21. Length
Specifies the storage length of a variable, especially important for character variables.
22. Retain Statement
Used in a DATA step to hold a value across iterations (rows).
23. Keep / Drop
Used to include or exclude variables during data processing.
24. IF-THEN Statement
Used to conditionally process data in a DATA step.
25. SAS Function
Built-in operations that return a value (e.g., sum()
, mean()
, substr()
, today()
).