Ideas and misconceptions about green energy

We analyzed data on CO2 emissions, energy imports, and the share of renewable energy per country to challenge common misconceptions. Additionally, we developed a clustering model that categorizes countries based on their 10-year trends in renewable energy share, CO2 emissions, and greenhouse gas emissions. We also built a machine learning model to forecast the future share of renewables in various countries. The project was implemented using Python and SQL, with visualizations created primarily in Looker. The goal was to provide an overview of the current renewable energy landscape and offer forecasts that could serve as potential recommendations.