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This document provides a compilation of 50 tips to enhance the efficiency of SAS programming, drawn from over 25 years of experience. The tips include optimizing DATA steps, using macro variables,
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How to fill out Leave Your Bad Code Behind: 50 Ways to Make Your SAS® Code Execute More Efficiently

01
Start by reviewing the current SAS code to identify inefficiencies.
02
Break down the code into manageable sections to analyze each part individually.
03
Consult the book for specific techniques that address common inefficiencies you observe.
04
Implement best practices suggested in the book, such as optimizing data steps and using efficient procedures.
05
Test the updated code to verify that it executes more efficiently.
06
Compare the performance of the original and modified code to ensure improvements are achieved.
07
Document the changes made and continue to refer back to the book for ongoing optimization strategies.

Who needs Leave Your Bad Code Behind: 50 Ways to Make Your SAS® Code Execute More Efficiently?

01
SAS programmers looking to improve the efficiency of their code.
02
Data analysts who frequently handle large datasets in SAS.
03
Individuals seeking to enhance their programming skills and reduce execution time.
04
Organizations aiming for better performance in their SAS applications.
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Overall, the best way to improve your SAS programming skills is to practice regularly, seek out opportunities to learn from others, and stay up to date with the latest developments in the field.
Use only the variables that you need. DROP and KEEP statements and DROP= and KEEP= SAS data set options will instruct SAS about which variables you need. Using DROP= and KEEP= on the input data sets is more efficient than using them as program statements because they don't bring the unneeded variables into the buffer.
Use only the variables that you need. DROP and KEEP statements and DROP= and KEEP= SAS data set options will instruct SAS about which variables you need. Using DROP= and KEEP= on the input data sets is more efficient than using them as program statements because they don't bring the unneeded variables into the buffer.
It is possible to execute a stream of SAS code by using the DOSUB function in %SYSFUNC. The DOSUB function is provided a fileref, and all of the SAS code within that file is executed. Note: The DOSUB function is similar to the DOSUBL function, but DOSUB is passed a fileref for a file that contains SAS code.
1) Use KEEP= or DROP= data set options to retain desired variables. 2) Use WHERE statements, WHERE= data set option, or WHERE clauses to subset SAS datasets. 3) Create and access SAS datasets rather than ASCII or EBCDIC raw data files.
Every SAS program should start with a main block of comments, emphasized by asterisks. The block of comments should include the filename, by whom the program is written, the date on which the program was written, and text that clearly describes the main purpose, input, and output of the program.
Here are some steps you can take to improve the efficiency of your code: Create function. Repetitive processes can be a real drag in software development. Use loops strategically. Avoid unnecessary variables. Leverage object-oriented programming. Focus on horizontal scalability. Leverage cache. Aim for statelessness.

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Leave Your Bad Code Behind: 50 Ways to Make Your SAS® Code Execute More Efficiently is a guide or resource that provides best practices and techniques for optimizing SAS® code to improve execution speed and efficiency.
There are no specific filing requirements for Leave Your Bad Code Behind, as it is not a formal document but rather a collection of coding practices aimed at SAS® users who want to enhance their coding efficiency.
Since Leave Your Bad Code Behind is not a form to be filled out, users can implement its recommendations directly into their SAS® coding practices instead of filling it out.
The purpose of Leave Your Bad Code Behind is to educate SAS® programmers on coding strategies that lead to improved performance and efficiency in data processing and analysis tasks.
As it is not a formal reporting document, there is no specific information that needs to be reported; instead, it shares techniques and tips that SAS® users can apply to optimize their code.
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