galbwe / denver-water-quality

Denver Water Quality

Visualization and easy access of Denver Water Quality Data provided by the Department of Environmental Health

Data Analysis

Jupyter notebooks for performing exploratory data analysis on data sources.

Setup

1. Make sure you have a recent version of Python installed on your system. You can check with python --version. Notebooks have been verified to run for versions >= 3.9. Versions 3.7 and 3.8 should also be okay, but your mileage may vary. If you have no preference for how to install python, a good way to do it is with pyenv. Another option is to directly install python from the official download page
2. Change directories to data_analysis: cd data_analysis.
3. Create a virtual environment in the data_analysis directory with python -m venv --prompt data_analysis venv.
4. Activate the virtual environment: source venv/bin/activate.
5. Upgrade pip: pip install --upgrade pip
6. Install dependencies: pip install -r requirements.txt
7. Start a Jupyter server: jupyter notebook
   • A web browser should automatically open localhost:8888. If not, open a browser and go to http://localhost:8888.
8. Open an existing notebook in src/notebooks, or create a new one.