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Crafting a SAS Macro for Efficient Dataset Merging

Learn how to create a SAS macro that merges multiple datasets based on your requirements, allowing you to efficiently compile unique datasets from different inputs. --- This video is based on the question https://stackoverflow.com/q/70607492/ asked by the user 'LdM' ( https://stackoverflow.com/u/14684140/ ) and on the answer https://stackoverflow.com/a/70607604/ provided by the user 'Kermit' ( https://stackoverflow.com/u/10468613/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Looping through several datasets for creating a unique one Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Crafting a SAS Macro for Efficient Dataset Merging When working with multiple datasets in SAS, especially when they share the same structure but contain different observations, merging them into a single dataset can often be a challenge. Perhaps you have three datasets (let's call them df1, df2, and df3) stored in the work library, but you only want to combine some of them based on specific conditions. In this post, we’ll take a closer look at how to automate this process using a SAS macro. The Problem You have multiple datasets that you may want to merge into a single dataset, depending on specific criteria. These datasets—df1, df2, and df3—contain identical variables but differ in the number of observations: [[See Video to Reveal this Text or Code Snippet]] Your goal is to develop a macro that allows you to flexibly select which datasets to include in your final merged dataset, producing output like this when all datasets are chosen: [[See Video to Reveal this Text or Code Snippet]] The Solution Instead of building complex logic to check which datasets should be included, you can simplify your macro by directly passing a list of datasets to merge. This approach significantly reduces the complexity of the code. Here's how you can achieve this: Macro Implementation Define the Macro: You can create a macro that takes a list of datasets and performs the merging action based on a specified condition. [[See Video to Reveal this Text or Code Snippet]] Prepare Test Data: First, generate some sample datasets to work with: [[See Video to Reveal this Text or Code Snippet]] Execute the Macro: You can now use your defined macro to select which datasets to merge. For instance, if you wanted to merge df1 and df3, you would run: [[See Video to Reveal this Text or Code Snippet]] Resulting Dataset If you run the above macro with the selected datasets, the output will include the merged data from df1 and df3, as desired: [[See Video to Reveal this Text or Code Snippet]] Conclusion Using a SAS macro to merge datasets can streamline your data management and allow for greater flexibility in handling various inputs. By directly passing a list of datasets to your macro, you remove the headache of complex conditional programming, making your code cleaner and more maintainable. This way, regardless of how many datasets you need to consider, you can efficiently merge them into a single output! This method not only enhances productivity but also ensures that you're equipped with a powerful tool for your data analysis tasks in SAS. Happy coding!