Hello! Thank you for your interest in our SAS Hackathon project and your question about our use of SAS tools. While it is true that we utilized Python extensively in our project, we also leveraged SAS to facilitate data exploration and analysis in the initial stages of the project. Specifically, we used SAS to quickly load and explore large data sets, perform initial data cleaning and transformation, and generate visualizations to gain insights into the data. In addition, SAS was helpful in mediating the connection between Python and other data sources and tools that we used in the project. We were able to easily integrate SAS with Python using the SASPy package, which allowed us to access SAS data sets and run SAS code within our Python environment. Although we primarily used Python for the bulk of the development work in our project, we believe that SAS could be useful for certain aspects of the project in the future, particularly when it comes to deploying the project at scale. SAS has powerful capabilities for managing and processing large data sets, and its built-in security and governance features could be beneficial in a production setting. Overall, we found that SAS was a valuable tool in our Hackathon project, particularly in the early stages of data exploration and in mediating the connection with Python. While we primarily used Python for development work, we believe that SAS has potential to play a role in future stages of the project as well.
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