This challenge is a short assignment in our data wrangling and visualization course that is done in R. We would like you to do it the task in Python using the Polars and Lets-Plot libraries.
You can read about the baseball data at seanlahman.com. Please use the SQLite database as your data sources.
Over the campfire, you and a friend get into a debate about which college in Utah has had the best MLB success. As an avid BYU fan, you want to prove your point, and you go to data to settle the debate. You need a clear visualization that depicts the performance of BYU players compared to other Utah college players that have played in the major leagues. This data is great for testing out our relational data skills.
- Make a private copy of this repo using the template button.
- Invite the GitHub user
hathawayjto your repo. - Use Polars and Lets-Plot in your Python code.
- Find the 4-5 different data sets that you will need to show full college and player names as well as their annual earnings.
- Make a convincing chart showing how professional baseball player salaries/earnings that played baseball at BYU compared to the players from other Utah schools.
- Save your quarto file and other files created at time of rendering to your repository.
- Submit a link to your private repository.