Create a Jupyter Notebook that, using `polars` to process the data, does a thorough exploratory data analysis of data saved in `youtube_videos.db`, for all columns.
New features could continue to be developed in the inventory service. These changes would get deployed to our internal development environment's microservices to power new internal builds of the live-service game client. With minimal additional work, this same inventory logic could be used in the AOT serverless codebase to build out the DLL files needed to support the same functionality in the offline game client.
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