- Team members: ipk@andrew.cmu.edu
- Online URL: https://cmu-ids-fall-2022-assignment-3-kloo-streamlit-app-vphgy2.streamlitapp.com/
This repository contains a streamlit app and the supporting files, including a data generating script. This project gives users a unique way to explore Penguins NHL game data, allowing simultaneous exploration across time, space, and context. For a full description of the project, see writeup.md.
- data - full_data.csv = stacked dataframe containing events from NHL games - win_prob.csv = dataframe containing a row for every minute for all penguins games between 2016 and 2022. Each minute has the penguins' win probability.
- www - nite.wav = an audio sample from famed penguins radio announcer Mike Lang - pens_log.png = the penguins (best version of their) logo - screenshot.png = a screenshot of the app used in the write up (writeup.md)
- LICENSE = license information
- prepare_data.py = script for generating all data used in this app. Source is the NHL's undocumented API.
- README.md = generates this document.
- requirements.txt = all packages needed to run the app
- streamlit_app.py = streamlit app
- writeup.md = a description of the project
- An interactive data science or machine learning application using Streamlit.
- The URL at the top of this readme needs to point to your Streamlit application online. The application should also list the names of the team members.
- A write-up that describes the goals of your application, justifies design decisions, and gives an overview of your development process. Use the
writeup.mdfile in this repository. You may add more sections to the document than the template has right now.