Temperature in Colombia: Understanding Factors & Predictive Model Proposal

We retrieved and cleaned environmental, economic, and social data from the World Bank, FAO, IDEAM, and DANE; built a pipeline in Python and analyzed 29 years of data creating a model with an error of 13.06%; and presented results in a web application with interactive dashboards using Plotly visualizations.