SAS Programming Master Classes : SAS Input Methods - 20 | Learn SAS Tutorial Free

Welcome to the SAS Programming Master Classes by Naidu! In this comprehensive tutorial, Naidu, a SAS trainer with 15 years of experience, explains various SAS input methods. You’ll learn how SAS reads and processes data from external sources, breaking down each input method step by step to help you better understand and apply these concepts in real-world scenarios.

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*What* *You'll* *Learn:*

Naidu introduces the four key SAS input methods:

List Input Method
Column Input Method
Formatted Input Method
Named Input Method
These methods allow SAS to read and import data, whether it’s numbers or text, into your environment. You’ll also learn additional techniques such as using the $ modifier for character variables, and the length statement to manage column lengths and prevent truncation.

The tutorial covers common input issues and solutions, including:

🔴List Input Method: Learn how SAS reads data with spaces and handles missing values using the period (.) to indicate missing entries.
🔴Column Input Method: Manage column positions and fixed lengths for each variable.
🔴Formatted Input Method: Use start and end positions to control how much data SAS reads, using techniques like the column modifier and @ symbol to target specific columns in your dataset.
🔴Named Input Method: Ideal for data with spaces between entries, like names with multiple parts (e.g., “John Kennedy”).

Key Learning Points:

How to read external data into SAS using various input methods.
Correcting common errors like data truncation by modifying variable lengths.
Using the retain statement to rearrange variable orders in your output.
Implementing the double and single trailing @ symbols to control how data is processed across multiple rows.

Example Scenarios:

Naidu provides practical examples such as reading employee records and handling missing values. You’ll see how to set up your data, adjust column widths, and ensure that all the data is correctly imported without errors or truncation.

Advanced Techniques:

Learn how to handle comma-separated values (CSV) in SAS by adjusting the input method to account for commas.
Use retain and format statements to optimize the order and appearance of your datasets.
Apply double trailing for reading large datasets spread across multiple lines.

Why Learn These Input Methods?

Whether you're a beginner or an experienced SAS user, mastering these input methods is crucial for importing and working with various types of data in SAS. You'll find these techniques invaluable when dealing with real-world data sets, especially in industries like healthcare, finance, and business analytics.

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By the end of this video, you'll not only know how to use each input method but also understand the common issues and how to fix them, ensuring clean, error-free data entry into SAS.

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