Lecture

Air Pollution Data Analysis

In course

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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.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_z5vz0bws

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Ontological neighbourhood

Computer engineering

Software development: Entities in software development

Computer data storage: File systems

Databases: Relational databases

Statistics

Statistical inference: Mathematical statistics

Descriptive statistics: Statistical graphics

Theoretical computer science

Programming language theory: High-level programming languages

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