Authors: Aidan Jackson | Sandip Panesar
This project uses historical time series data of carbon dioxide concentrations in the atmosphere to forecast future concentrations. It was originally completed as part of the W271 Statistical Methods for Discrete Response, Time Series, and Panel Data course in the Master of Information and Data Science program at University of California, Berkeley.
File | Description |
---|---|
Report.pdf | Report and time series forecast |
Report.Rmd | R Markdown file generating the PDF |
co2_weekly_mlo.txt | Data on atmospheric carbon dioxide concentrations |