Power BI News: November 2023

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The first of the Power BI updates for November is button slicers, the ultimate tool for slicing data with ease and style. New updates and improvements have been incorporated, here is the list of features of this new feature:

You can now customize the layout and look of your visualization with more options to change the corner radius.
You can create your layout with custom rows and columns, and adjust the space between cards with pixels.
If you have more buttons than cells in your grid layout, you can choose between Pagination or Continuous Scrolling, either vertically or horizontally, to display them all. This gives you more flexibility to design as you like.
The new visual card also lets you align and format your buttons more easily, and use the Label feature to highlight important information.
With the image control, you can add images to your buttons from URLs.
Interactive states allow you to create more australia telegram data engaging designs with hover, click, and select effects to get users to interact with your data.
Discover new formatting options that offer more versatility and a new way to view your data.
Single selection has been improved with a force select switch and a Select All option.
The new multi-select feature will make your life easier and more efficient.
You'll also enjoy a new tooltip experience, as the new button segmentation supports both default and report page tooltips, so you can display your data in a richer way.
Overflow Style: Browse multiple cards with continuous or paged scrolling options.

Title: Set the direction, position, alignment, font, color, transparency, padding, and background of the title.

To create a Cards visualization with small multiples, select the Cards (new) icon in the Visual Gallery on the Create Visual tab of the Visualization Panel. Then, select some data fields from your data model and add them to the Data Field well. To categorize cards with small multiples, select a data field from your model and add it to the Small Multiples data well.