💻 Coding Exercise (files)

This folder contains a coding activity written in Python to introduce users to air quality and environmental sensing methods by working with CityScanner Data, exploring time series analysis, geospatial analysis, and pollution hotspot analysis.

There are 2 versions:

• One is a .ipynb file containing python code and some descriptive text, which can be run in an environment of your choosing.
• The other is a .ipynb file intended to be run on the Google CoLab platform.

The notebooks provide sample code to run with New York City Deployment data, which can be edited to use different data files we provide in explore/datasets.

Please refer to the Facilitator Handbook for further instructions.