This section showcases Python projects demonstrating data visualization capabilities. Using Python's powerful visualization libraries including Matplotlib, Seaborn, and Folium, these projects highlight:
These examples demonstrate practical applications of Python for creating impactful data visualizations.
Data visualizations created with Python's Matplotlib and Seaborn libraries.
Average price per square meter for condominiums in Stockholm districts. Data from Svensk Mäklarstatistik, visualized using Python's Folium library. The map is interactive - click on each circle marker to view detailed price information for that district:
Advanced football data analysis using Python and machine learning techniques.