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Grouping and Binning in Power BI

Grouping and Binning in Power BI


Are you a Power BI enthusiast or someone new to the world of data analysis? Either way, you're in for a treat! In this blog post, we'll delve into the fascinating world of Power BI's grouping and binning features, as explained by Angelica Domenech, a knowledgeable trainer at Pragmatic Works. These features allow you to organize and analyze your data efficiently, making your reports more insightful. So, let's explore these powerful tools and learn how they can transform your data analysis game.


Grouping Your Data

When working with extensive datasets in Power BI, it's essential to have a strategy to group and categorize information effectively. Angelica walks us through the process of creating groups in Power BI, making your data more manageable and user-friendly.

1. Access the Data Pane: Start by opening your Power BI project and selecting the Data Pane on the right side of the screen.

2. Choose Your Column: Identify the column you want to create groups for. In Angelica's example, she uses the "Sales Territory Country" column.

3. Right-Click and Select "New Group": Right-click the chosen column and choose "New Group" from the menu.

4. Name Your Groups: Give your groups meaningful names to avoid confusion. In her example, Angelica renames the group to "Continents."

5. Create Your Groups: Select the values in the column you want to group and click "Group." This action generates new groups based on your selection.

6. Repeat for Multiple Groups: Angelica creates groups for North America, Europe, and Australia by selecting the respective countries and repeating the grouping process.

7. Exclude Ungrouped Values: If there are values that shouldn't be part of any group, uncheck the "Include Other Group" option.

8. Apply Changes: Click "OK" to save your groups.

Using Groups for Better Analysis

Once you've created your groups, they become powerful tools to enhance your data analysis in Power BI. You can use them in your reports, replacing existing columns, and even create hierarchies for in-depth analysis.

1. Create a Hierarchy: To add depth to your analysis, you can create hierarchies. In Angelica's example, she starts with the "Continents" group as the top-level of her hierarchy.

2. Add Columns to the Hierarchy: Right-click the columns you want to include in the hierarchy (e.g., "Sales Territory Country" and "Sales Territory Region") and choose "Add to Hierarchy."

3. Replace Columns in Visuals: Replace the original columns in your visuals with your newly created hierarchy. This allows for easy drill-down and exploration of different levels of data.

4. Enable Drill-Down: Turn on the "Drill Down" feature in your visual to navigate through the hierarchy levels and gain deeper insights into your data.

Binning Your Data

Binning is another handy feature that Power BI offers, allowing you to group numerical data into ranges, making it easier to analyze.

1. Access the Data Pane: Just like in the grouping process, open your Power BI project and navigate to the Data Pane.

2. Select the Column: Locate the numerical column you want to create bins for. In Angelica's case, she uses the "Age" column.

3. Right-Click and Choose "New Group": Right-click the column and select "New Group."

4. Create Bins: In this step, you'll define the bin size or number of bins. Angelica sets a bin size of 10 years.

5. Apply Changes: Once you've set your bin parameters, click "OK."

Using Age Bins for Analysis

Now that you've created your age bins, you can use them in various visuals for better data analysis. Angelica demonstrates using a slicer to explore sales data across different age groups.

1. Replace Slicer Values: Remove the original age column from your slicer visual and replace it with the age bins you've created.

2. Analyze Data Ranges: With age bins in your slicer, you can easily explore data across specific age ranges, making it a breeze to identify trends and insights.


In this blog post, we've explored the invaluable features of grouping and binning in Power BI, as demonstrated by Angelica Domenech. These tools empower you to organize your data effectively, enhance your analysis, and create more insightful reports. Whether you're a beginner or a seasoned Power BI user, these features can elevate your data analysis game and help you unlock the full potential of your data.

So, go ahead and give grouping and binning a try in your Power BI projects. Your reports will become more user-friendly, and your data analysis will be more powerful than ever. Thank you for joining us on this journey and subscribe to the Pragmatic Works YouTube channel for more valuable insights in the world of Power BI! Also, don't forget to sign up for the Pragmatic Works' on-demand learning platform, which offers a wide range of courses, including those related to Microsoft products like Power BI, Power Automate, and Azure.

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