As part of the Bail Fund Project, I wanted to try to expand and improve file reading with python. During the hackathon I learned about a little bit about Pandas, Matplotlib, and Seaborn and I want to implement those tools into the program

The end result of the program graphs out possible correlations between an offender's age and their bail amount using csv provided by the Bail Fund Project in Philly

I used Python, Pandas, Matplotlib, and Seaborn

I had a hard time incrementing the graph correctly the match with the bail amount, so instead of it being by 100, it increments by 1. Which doesn't properly represent data

I am proud of just using new tools like Panda, Matplotlib, and Seaborn because I have never used it previous to this hackathon

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