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10 Ways to Use Emojis in Power BI 🤩

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Because even your DAX deserves a little personality šŸ˜Ž


If you’ve read a few of my previous articles, you’ve probably noticed it already — I love using emojis šŸ˜…. Not just in writing, but directly in my Power BI visuals too.

It’s not (only) an aesthetic choice. Emojis can help make important data indicators pop, make information easier to read, and even support how users interpret insights. In some ways, they help bridge the gap between ā€œdata visualizationā€ and ā€œdata communication.ā€

In this article, I share 10 creative ways you can emojis in Power BI — from report navigation to tooltips — that can help your dashboards feel more intuitive, more fun, and sometimes, just more human.


In this article, I share 10 creative ways you can emojis in Power BI — from report navigation to tooltips — that can help your dashboards feel more intuitive, more fun, and sometimes, just more human.


1. Organizing Measures šŸ“

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Not only is it good practice to group your measures in folders, but adding emojis to measure names or folders can even help you visually organize your semantic model and find things faster, like presented in the example above. Key groupings I often use in my reports are the following:

  • šŸ“Š Visualization

  • šŸ› ļø Utilities & Helpers

  • šŸ“… Dates

  • āš™ļø Constants

When you’re building large models, that little visual cue next to each measure group helps your brain locate things more easily.

šŸ’” Tip: Pick consistent emojis per category. It’s a small UX upgrade that makes a big difference for anyone maintaining your reports later.


2. Formatting Data Labels šŸ’¬

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Data labels are often the unsung heroes of a visualization — they carry meaning but can easily blend into the background. Adding emojis is a subtle way to make them communicate.

In the chart abovešŸ‘†, each bar shows the proportion of students performing below or above average per semester. I added two emoji labels — šŸ”„ for the Best Semester and 🄶 for the Worst Semester — to help users instantly spot performance highs and lows.


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