This project is an interactive web application that explores 80 years of climate change using real NASA temperature data and climate information from the Copernicus Climate Change Service, processed by Our World in Data. Users can select from 10 cities and countries around the world and view temperature trends from the 1940s to 2025 through interactive charts, including city-specific graphs, global comparisons, warming rankings, and heatmaps. The app also features future temperature predictions for different countries using linear regression. Users can adjust settings through simple controls to explore different forecast scenarios. Built entirely in Python using Pandas, Plotly, and Streamlit, the project transforms complex climate data into clear, interactive visualisations that are easy to understand.
This is my very own OS that can be run in the web!