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How can web data be transformed into interactive maps that reveal real-world patterns and connections?

In this talk, Hugh will walk through a project that uses Python to collect data from the web, process location information, and build interactive geographic visualisations with Folium. The session will introduce the technical workflow behind web scraping, geocoding, and map creation, showing how these tools can be combined to turn raw data into clear and engaging visual insight.

Attendees will get a practical look at how Python can be used for geospatial storytelling, from data collection through to interactive map output. Along the way, the talk will highlight useful techniques, lessons learned, and the value of using visualisation to better understand distributed networks and location-based data.

This session will be especially useful for those interested in Python, data visualisation, web scraping, and real-world data projects.

Related topics

Big Data
Data Analytics
Data Science using Python
Data Visualization
Open Source

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