This project analyse and visualise the urban population growth of the world for the years 2001 and 2021 using Python-based tools, with a focus on creating choropleth maps. The dataset for this analysis is sourced from the World Bank and is accessible here or my GitHub repository.

The goal is to develop a clear and reproducible solution, where all steps, from data importation to visualisation, will be documented in a structured and lucid manner. The project leverages Python libraries such as GeoPandas for geospatial operations, pandas for data manipulation and Matplotlib and Plotly for plotting. The primary focus is on ensuring the dataset is cleaned and prepared effectively for visualization, enabling the creation of accurate and meaningful choropleth maps.

Through this approach, I intend to highlight the global trends and regional differences in urban population changes over the two decades, providing insights into demographic and developmental shifts. I have made effort to design and execute the codes without errors, ensuring the reproducibility of results and clarity in explaining the coding steps.