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NBA Stats Explorer

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!

Try it out below!!!

Streamlit App

Running the project

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 ๐Ÿ€๐Ÿš€๐Ÿ˜ƒ

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A NBA player data explorer web app in Python using the Streamlit library

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