This example visualizes Dutch neighborhood-level geographic data by combining CBS microsubsidy statistics with municipal boundary geometries. It first fetches neighborhood polygons from the national georegister WFS service, parsing the Well-Known Text geometry strings, and then joins these with the statistical dataset. The visualization maps the subsidy figures onto the neighborhood shapes, likely using a choropleth approach to show geographic distribution. The code relies on the `cbsodata` API for the statistical data and pandas for data manipulation, while the geometries are loaded directly from the WFS endpoint.