Graduate project for "DATA 510 - Data Cleaning, Organization, and Visualization" at the College of Charleston.
Project aims to visualize behaviour/ seasonality of South Carolina net electricity generation, demand, and nuclear, solar, and hyrdropower energy generation over time, as well as each measurements' relationships with a variety of weather conditions.
Energy data is sourced from US Energy Information Admnistration API calls.
Weather data is sourced from National Oceanic and Atmospheric Administration and Open-Meteo API calls.
Data frames constructed and cleaned using pandas; visualizations created using plotly.