Inspiration

The Pro Football Reference Website is not good to look at. Flat out. There are times when you want to check on specific stats, but the old-school style of the site makes it difficult to focus on what you are reading. Plus, there's no dark mode!

What it does

This essentially takes the information on that website and helps provide it in an easier and more meaningful way. I wanted to make the website easier to click through so that you can analyze years of data with a single click.

How I built it

I built it using Python and Streamlit, a new tool I learned about during one of the Datathon workshops. I had never used Streamlit before this weekend, so I really just wanted to treat this as a learning opportunity.

Challenges I ran into

Since I was so new to this library, I had to look up the documentation a lot. Additionally, since reading for so long can be tiring, I also found a YouTube video where a man did something similar, only with Basketball data. Since, in my opinion, football > basketball, I had to make the cooler project! (JK, that guy was much more advanced than me.)

Accomplishments that we're proud of

I'm glad that I was even able to complete the project. I came into Datathon not knowing a thing about data science, so it was challenging being in a room of people who were so confident in it. Additionally, I had fun with some friends and learned a lot during different workshops.

What we learned

I learned a little bit about AI and ML, and also that there are existing tools that can help ease the process rather than creating things from complete scratch.

What's next for Exploratory NFL Rushing Statistics

Honestly, this is still very early on what I want it to do. Right now, I was only able to include rushing data. However, as many of you may know, there is more than just running the ball. I want to include different statistics so that the site can be more complete. Additionally, I only had one graphic. Once I add more data, I can focus on creating more graphs and having relationships between different statistics.

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