This example demonstrates a Power BI Desktop tabular mining model, exposing the structure of Data Mining Extensions (DMX) schema queries used to retrieve model metadata. The visualization shows how the model defines expressions, variations, sets, and extended properties, with the underlying code failing to access the referenced mining model due to permission errors. The implementation relies on Power BI’s tabular engine and DAX, while directly embedding DMX queries like `select* from $tmschema_expressions` to inspect the model’s internal schema. The rendering approach is native to Power BI’s table visual, displaying the raw query results and error states without external libraries such as D3 or Three.js, focusing instead on the interaction between DAX and the mining model’s metadata layer.