A data science project analyzing public library performance using Python. This project explores trends in library visits, program attendance, funding, and digital access using statistical analysis, correlation, outlier detection, and data visualization. The insights help understand how public engagement and funding impact library usage.
☆15Jul 31, 2025Updated last year
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