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All Tutorials /Power BI

How To Do Distribution in Power BI

Updated on:
June 5, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to visualize data distribution using a histogram in Power BI.

Quick summary

This tutorial shows how to create a distribution chart in Power BI using the Histogram Chart visual from the AppSource marketplace. You will learn how to add, configure, and format a histogram to analyze how numeric data is spread across bins in your report.


Steps

  1. Navigate to your dataset in Power BI that you want to create a distribution visualization for.
  2. Click Edit to enter edit mode where you can customize your distribution visualization settings.
  3. Access additional formatting options by clicking the three-dot menu in the visualizations pane.
  4. Select Get more visuals to explore distribution chart options not included in the standard visuals.
  5. Type Histogram in the search bar to find relevant visualization types for showing data distributions.
  6. Choose Histogram Chart from the options — the ideal visual for showing how your data is distributed across ranges.
  7. Click Add to include the histogram visualization in your Power BI report.
  8. Drag the numeric field you want to analyze into the Values area of the visualization pane.
  9. Select your newly created histogram chart to activate the formatting options specific to distribution analysis.
  10. Power BI automatically calculates the distribution by counting data points in each bin; adjust bin sizes in the formatting pane for more detailed analysis.

📌 Why this matters

Understanding data distribution is essential for making informed business decisions, and Power BI makes this possible through its extensible visualization ecosystem. By adding a Histogram Chart from AppSource, analysts can instantly visualize how numeric values — such as sales figures, response times, or customer scores — are spread across ranges without writing any code. This capability helps teams quickly identify outliers, spot patterns, and validate assumptions directly inside their existing Power BI reports. For organizations already invested in Microsoft's data stack, building distribution charts in Power BI is the fastest path from raw data to actionable statistical insight.
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