Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the analysis of air pollution data using wind speed and direction. The instructor explains how to read meteorological files, merge data frames, and convert wind angles to Cartesian coordinates. Techniques for averaging wind direction and visualizing data are demonstrated. The lecture also delves into probability distributions, moments, and order statistics to describe pollutant variability. The use of HYSPLIT trajectory models for air quality analysis is also discussed.