Using OpenAQ’s data on the levels of particulate matter with a diameter less than or equal to 2.5 (PM 2.5), I assess how well factors like temperature, humidity, and traffic counts predict the levels of PM 2.5.
Here is an interactive PM 2.5 monitoring system that I created to assess the change in PM 2.5 levels over the course of 24 hours.
Interactive PM 2.5 monitoring dashboard for New York City
You can learn more about the project by checking out the github page. Note that this is a work in progress.