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This project analyzes data from PyCity Schools to gain insights into the academic performance of various schools in the district. Using a dataset that includes information about schools, students, and their academic performance in math and reading, we conducted several analyses to compare the performance of charter and district schools across key metrics. The analysis includes school performance summaries, comparisons by school size, type, and spending, as well as trends in student passing rates.

Mod 4 challenge everest

Summary

This analysis evaluates the academic performance of PyCity Schools by examining key metrics such as math and reading scores, passing rates, and school characteristics, including size and type.

Charter school sare more cost effective than their district counterparts, preforming better in all areas.

We can also note that math scores are conssitently lower than reading giving us a easily recconizable path to action.

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Pandas challenge due 12/23/24

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