To customize the map visuals in Power BI and show double data layers, i.e., population density and sales performance, one must apply methods such as layering measures, visual properties settings, and induction of multiple data sources.
Prepare and Use Data: Confirm that the dataset you have contains all relevant conditions, e.g., geography, population density, and sales figures. This may mean merging different databases using geographic joins like city names or postal codes. Organize and clean your data to avoid duplicates and mismatches.
Choosing the right Map Visuals: Choose an Included Map and a Map ArcGIS as map visual types in Power BI. These ArcGIS Maps would enable multilevel layers and better geospatial analysis. Load the first data—population density as a gradient color or shading, implying differences in different regions.
Adding Further Layers: Another data layer for this would be under the sales metrics. Bubble sizes can now show how sales volumes for a particular region perform, while icons can show where the high-performing areas are. Filters and slicers can then be used to allow teams to switch between layers or adjust the transparency setting to make both distinguishable.
It gives an idea for a good integrated dynamic, insightful map in Power BI, drawing information from several different layers for decision-making.
