Inspiration

With the recent killing of George Floyd in my home city and the injustice rocking Louisville with Breonna Taylor's murders going uncharged, I wanted to investigate where police brutality is at its worst in America.

What it does

This program analyzes a csv file of every person killed by police in America between 2000 and 2016. It (will hopefully) display this data through graphs and charts to show the most dangerous and the safest states and cities for BIPOC in America.

How I built it

I started with analyzing the data using a loop to run through the data set and test different measures at each element in the set, then I created a GUI to display the data analysis.

Challenges I ran into

For some reason, my file I/O was being super difficult and I had to keep researching what was wrong and how to fix it.

Accomplishments that I'm proud of

I was able to crunch through the data in a relatively simple way that didn't adhere to the program's speed, I just learned about big O notation a few weeks ago and it was fun to work around the challenge with a big data set.

What I learned

I learned how to make a bar graph with tkinter in Python and the importance of have "exception" statements when a potential data piece is wrong, like if a cell should have integers only but has nulls and floats too.

What's next for An Unsafe America

I want to continue to work on it and expand it into a working data model that I can publish online, I think it would be super beneficial for Americans to see the facts of the cases and would help to drive home that we need social reform in America.

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