Multirow card helps us to display multiple data points in a single card which helps users to get quick insights by comparing multiple values across different categories.
Let’s discuss about how to create Multirow card in this blog post.
How to Proceed?
Step 1
Launch power BI desktop app and open the new report page and import the data required.
Step 3
Drag the data field into Fields that you want to display in multirow card visual
Here I showed No of Medals, Region and Sport
Step 4
Customizing the appearance
You can customize the appearance of the multirow card visual. Click anywhere on the visual and set the properties in the Format section.
Refer Lesson 6 - Formatting the Visual in Power BI Desktop blog post for general formatting
Callout value is the key content of the card visual. Expand Callout option, we can format the font style, size, color of the callout value displayed in the card
Category label is the text written below the key content. Expand Category Labels option, we can format the font style, size, color of the Category Labels displayed in the card
Style option has multiple options like Border position, background color, padding.
Accent bar is the vertical line appear at each sub group of multirow card. We can adjust the width of the bar and also color of the accent bars can be customized.
Step 5 Save the visual
Finally, your Multirow Card Visual is ready. Click save button to save the visual.
When to use Multirow card visual?
Multirow card visual can be used when we want to showcase multiple data points and compare the data points in a structured way.
Pros
- Helpful in decision making
- Multirow card visual represents focused presentation of key data points
- Multiple data categories can be shown in a unified space.
- Easy to understand
Cons
- Customization in multirow card is limited
- Less Interactive
Conclusion
Multi-Row Cards in Power BI presents complex data in a clear and concise manner. Multirow cards can be incorporated into your Power BI dashboards to elevate the data analysis, which helps users to make better decision making.
Tags | Power BI |
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