Lecture

Air Pollution Data Analysis

In course
DEMO: amet aliqua
Eu consectetur anim culpa adipisicing cillum dolor laboris aliquip in dolor. Aliquip nostrud ullamco eu eu exercitation consequat enim adipisicing labore. Quis voluptate anim irure aute velit minim dolor deserunt aliqua. Ea mollit quis id duis velit sunt id. Laboris laborum nulla anim do anim dolor culpa. Deserunt ullamco consectetur excepteur amet occaecat est laborum.
Login to see this section
Description

This lecture covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations. Students will learn to import data, manage directories, aggregate data, and plot time series. The course emphasizes programming with data, troubleshooting, and seeking help. Assignments involve analyzing pollutant concentrations, contrasting seasonal averages, and detecting exceedances of regulatory limits.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.