- Evalute data on a week by week basis for individual players
- Group data to evaluate postion performance, individual performance, performance by day of week, and performance by week or season.
- Will eventually be able to build into a bigger project with a GUI on a website for individuals to evaluate the data themselves by inputing options.
- Data was scrapped from Pro Football Reference (https://www.pro-football-reference.com/)
- Share your URL
- What is your project?
- Demo
- What were the hurdles (Perhaps technology issues)?
- Any advice that you can give to your classmates
- QA
Let's kick it up a notch and build a modular and modern application using Python. You must submit your full project proposal and dataset to your instructional team by 6:00 PM EST Thursday (7/16/2020). Show us what you've got!
NOTE: Send us a Slack DM message, CC: Britt, Vonn, and Suresh
- Be a working, interactive, Python application
- Must include grouping and data aggregation, and standard functions such as max, min, sum, and std etc
- Must have at least 2 .apply methods()
- Must have data visualization
NOTE: YOU'RE NOT ALLOWED TO RECREATE PROJECT 1 OR PROJECT 2
- Be properly indented
- Be written with semantic Python code
- Be commented for the other developers
- What is your project is all about
- What are the three classes (or more), be ready to discuss it's functionality
- If it's Data Science project, you must provide the link to the data set prior to the project approval
- Regadless of your what type of application you intend to build it must have a GitHub repo(USE YOUR PERSONAL GITHUB REPO)
- Data Science project must include the dataset in the GitHub repo along with the Jupyter Notebook
- DO NOT UPLOAD THE PROJECT FILES TO GITHUB, you must push your code the GitHub as you build the application
Take a moment to re-familiarize yourself with the plagiarism policy, specifically on using work you find online and on work you do with other students.