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    1. quickmodel_ai on

      Based on feedback on the original post, here is the same data normalized by GDP.

      This is a data representation of all non profit programs found on publicly available 990s for the tax year 2023 categorized by their description as a percent of state GDP. These are the aggregate program expenses, not all expenses for all non-profits.
      To create the categorizations we generated embeddings for all program descriptions clustered them, then labelled clusters using an LLM.
      Tools used: matplotlib, sentence-transformers, umap, hdbscan.
      Data provided by [Npo Align](https://npoalign.com/?campaign=reddit) and and https://en.wikipedia.org/wiki/List_of_U.S._states_and_territories_by_GDP

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