What is Synoptic Panel?
Synoptic Panel is a custom visual for Power BI that allows you to present one or more images (called maps, not necessarily geographical maps), assigning a meaning to arbitrary parts of them (called areas).
You can highlight and color these areas dynamically and display several information over them.
Think about the case: you have a map of an airplane and you want to see which are the bestselling seats.
Yes, you can do it with a standard Bar Chart, but how could you check the spatial correlation between each seat? Or how could you explain the fact that the seats near windows are the most wanted?
Before using maps in Synoptic Panel, you can define the areas to highlight and assign a unique name (optional) to each of them.
Those names would correspond to existing values of the columns that you want to connect to the areas.
First visit synoptic design to make custom map from your image.
Drag your PNG/JPG file inside the Synoptic Designer canvas (or insert an image path/URL).
Select a tool from the bottom toolbox and start drawing shapes over the image.
Once you complete the definition of the areas, export your work by clicking Export to Power BI button and download the generated SVG file.
Before using Synoptic Panel with your map, you must import it in Power BI.
First, you download Synoptic Panel from http://okviz.com/synoptic-panel, then you import the component by using the three-dot button in the tools panel.
You will see a dialog box where you choose the .PBIVIZ file that you downloaded before.
Synoptic Panel by OKViz button created at visualizations tab.
You need data to build a visual. Make the data, and the data must include area number (or unique name) to build a heat map.
Choose a category and put measure data which you want to build a heat map.
And then choose the SVG file that you made via synoptic design/.
PowerBI visual generated custom heat map like right-hand side image.
Once imported, you can drag the component into the main canvas area, and then you start working with it.
The first thing to do is to bind your data with the following fields:
Category (formerly Legend) and Subcategory (formerly Details): bind to columns of your data. They must contain the same names that you assigned to your map areas in the previous steps. You are required to define at least one of them.
Value: bind to the main measure that represents the value of the areas.
Target: bind to a measure that contains a target value for performance comparison.
States: bind to multiple numerical measures that represent performance states.
Tooltips: bind to multiple numerical measures to show additional information on mouse hover.
Video:
Edit時, area ID要用文字
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