Common Techniques for Data Cleaning and Manipulation in SAS Programming

As a SAS Programmer, there are various techniques commonly used for data cleaning and manipulation. Some of the key techniques include:

1. PROC SORT: Sorting data to organize it in a desired order.
2. PROC FREQ: Generating frequency tables to identify patterns and anomalies in the data.
3. DATA Step: Using DATA step programming to manipulate and clean data, including subsetting, merging, and transforming variables.
4. PROC SQL: Executing SQL queries within SAS to perform data manipulation operations such as joins, filtering, and aggregations.
5. MISSING Function: Identifying and handling missing values in the dataset.
6. FORMAT Procedure: Applying custom formats to variables for better data presentation and analysis.
7. PROC TRANSPOSE: Restructuring data from a long to wide format or vice versa.

By utilizing these techniques effectively, SAS Programmers can ensure data quality, accuracy, and consistency in their analytical projects.