A demonstration of graphical packages in R, such as ggplot2, in order to create useful visualizations demonstrating the relationships of the embedded variables in the WHO's metadata, and the U.S. Geological Survey's earthquake data.

In this project, I used RPart's Classification and Regression Tree algorithm on UC Irvine's "forestfire" data set to predict the month in which a Forest Fire is likely to occur.