pandas-challenge

Background

For this exercise I am posing as a chief data scientist for a city school district.

I am tasked with helping the school board make strategic decisions regarding school budget and priorities.

District-wide standardized test results were analyzed and let to the conlusion that the more money spend per student resulted in a worse outcome. In addtion, schools of larger size tended to have worse outcomes on standardized testing. (Full analysis in Jupyter Notebook)

Skills showcased: working with pandas, working with dataframes, reading csv, merging two data sources, binning, aggregating.

The code for this challenge was created from the starter code supplied.

The set_index function used was a result of collaboration with my classmate Andrew Koller

Troubleshooting and error resolution was done using ChatGPT.

This challenge is part of the Northwestern Data Science BootCamp cirriculum.