How the NBA has changed over the past 2 decades

Inspiration

Everyone in our group are sports and data lovers. We are interested in figuring out the best NBA teams because sometimes the eye-test is not enough.

What it does

We calculate key statistics for three research questions:

How has draft pick success, measured by MPG, changed since the year 2000? What statistics from each decade impact scoring the most? How do eastern conference teams stack up against western conference teams historically

How we built it

We used python and used the following packages: matplotlib, seaborne, pandas, sci-kit, os

Challenges we ran into

Merging 60 datasets was challenging; lots of obscure errors that we had to do googling to solve

Accomplishments that we're proud of

We are very happy that we were able to utilize the concepts we learned in class for something we are truly passionate about. It made learning fun.

What we learned

We learned how to wrangle data to create visualizations for different subsets, we also learned how to search for the right data and create our own statistics.

What's next for How the NBA has changed over the past 2 decades

We want to take our approach and utilize it with other sports

Built With

• matplotlib
• pandas
• sci-kit
• seaborne