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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
It was rewarding to dig into SQLite a bit while solving this puzzle, so I figured this would be a good opportunity to learn a bit more about pandas too! So how would I adapt this working SQL solution to pandas?
An open source multi-tool for exploring and publishing data
VisiData is great for quick exploration and can perform joins, but considering the number of tables involved I figured this would be more straightforward with SQL. And since SQLite was an available format, Datasette seemed like a great fit.
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