Date: Winter 2022
Partner(s): Bridger Rives
This project, another interactive tool built with Shiny in R, examines energy consumption and generation trends by continent. In particular, it looks at energy consumption and generation from renewable versus fossil fuel sources using machine learning (in particular random forests), chloropleth maps, and interactive bubble charts. This project allowed me to further develop my ability to create apps and interactive visualizations with R. It also gave me further experience integrating several kinds of data analysis into a cohesive argument.
