One way to create dynamic visualization dashboards in Power BI is by using bookmarks. Bookmarks allow you to capture the current state of your report, including filters, slicers, and visualizations, and then navigate back to that state with a single click. You can create different bookmarks for various scenarios and combine them to build dynamic and interactive dashboards. Additionally, you can use drillthrough features to enable users to explore data in more detail by drilling down into specific data points.

Another approach to creating dynamic visualization dashboards in Power BI is by using measures and conditional formatting. You can create measures that calculate values based on selected filters or slicers and use conditional formatting to change the appearance of visuals dynamically. For example, you can set conditional formatting rules to change the color of a bar chart based on specific conditions or thresholds. This way, the visuals dynamically respond to user interactions and provide real-time insights.

Another approach to achieve dynamic visualization dashboards in Power BI is by using Power Automate (formerly Microsoft Flow) in combination with Power BI. Power Automate allows you to create workflows and automate tasks based on triggers. You can set up triggers that react to changes in data sources or specific events, and then use Power Automate to update and refresh the visuals in your Power BI dashboards accordingly. This way, your dashboards can stay up-to-date and dynamically reflect changes in the underlying data.

An alternative method to create dynamic visualization dashboards in Power BI is by utilizing the Power BI REST API. You can leverage the API to programmatically interact with reports and dashboards, allowing you to dynamically manipulate and update visualizations based on external factors or user input. This provides a high level of flexibility and customization for creating dynamic dashboards in Power BI.