This app performs simple webscraping of NBA players' per game, advanced, per 36 and total stats data and applies simple exploratory data analysis knowledge to the dataset!
- Python libraries: base64, matplotlib, pandas, plotly, streamlit
- Data source: Basketball-reference.com.
Try it out below!!!
Requirements:
In the command line, start a new conda environment from the repository location:
$ conda create -n myenv python=3.9
$ conda activate myenv
Install the requirements:
$ pip install -r requirements.txt
Install streamlit and run the app
$ pip install streamlit
$ streamlit run nba_app.py
Now go to http://localhost:8501 to see the application running and enjoy 🏀🚀😃