A new tutorial shows how to turn raw OpenStreetMap data into an interactive map of wild‑swimming spots, using the Overpass API and Power BI. The author, a map enthusiast, explains that most swimming locations lack photos, so the workflow adds image tags where available. By filtering on leisure=bathing_place and leisure=swimming_area, the tool surfaces only relevant natural pools for enthusiasts globally today.

The guide walks through OpenStreetMap concepts—nodes, ways, relations, and tags—before showing how to build an Overpass QL query that pulls name, description, image, latitude, and longitude for Portugal and Spain. Using Overpass Turbo, the author tests the query, then copies it into Power BI to create a dashboard where users can click a point and view embedded photos for wild swimmers.

By leveraging freely available data and business‑intelligence tools, the process democratizes access to hidden natural swimming locations, making trip planning faster and more visual. The resulting Power BI map can be shared with friends or embedded in a travel blog, turning a simple data dump into an engaging, photo‑rich experience for travelers around the world and contribute to a rich community.