The goal was to visualize the regional distribution and reliance on nonrenewable sources: gas and coal power plants. To capture the complexity of the energy mix, I used a bivariate choropleth map. The raw plant counts were normalized using a proportionate method: dividing the quantity of gas or coal plants by the total number of power plants in that region. This approach ensured that the visualization reflected the density and reliance on these energy sources, rather than just raw volume. Finally, I applied the Natural Breaks (Jenks) classification method, which revealed inherent, clustered patterns in the data, distinguishing regions with heavy versus low dependence on gas and coal.