I. Repository Summaryt
This repository represents one component of a group project for General Assembly's Data Science Bootcamp. The code folder contains a separate jupyter notebook that contains the data cleaning and some visualizations of the data, as well as the code for the interactive streamlit dashboard.
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II. Running the Dashboard Locally
A. If You Don't Have Streamlit Installed
run pip install Streamlit
Follow the remaining instructions in item B.
B. If You Already Have Streamlit Installed
Clone this repo to your local machine.
Open the terminal and move into the project's main directory
run cd code/
Execute the command Streamlit runn app.py
The app should open in a localhost instance in your default browser.