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Home > Blog > Power BI

Power BI Edit Interactions to Optimize Your Charts

Interpreting data in Power BI is such a daunting task. To get the most out of this tedious process, you should have a good grasp of Power BI edit interactions. The Power BI edit interactions help you to edit your interactions for a more impactful and cohesive visual representation.

Power BI Edit Interactions

This guide shows you how to effectively edit interactions in Power BI. You’ll also discover types of Power BI visual interaction, and common mistakes to avoid.

Table of Contents:

  1. What are Interactions in Power BI?
  2. Why are Power BI Interactions Important?
  3. How to Enable Visual Interaction Control?
  4. How Many Types of Power BI Visual Interaction?
  5. How to Edit Interaction in Power BI?
  6. How to Create a Visualization in Power BI?
  7. What are the Tips for Editing Power BI Visual Interaction?
  8. Common Mistakes to Avoid When Editing Power BI Interactions
  9. Wrap Up

First…

What are Interactions in Power BI?

Definition: Reports always come with visual elements and these visual elements can be manipulated and connected using interactions in Power BI. Data manipulation could be in the form of highlighting, filtering, and interacting with elements in the data. Interactions in Power BI help in analyzing data and gaining useful insights. It enhances the user experience and offers dynamic ways of exploring the data.

Why are Power BI Interactions Important?

Interactions in Power BI help users to analyze and explore their data. With interactions, users can easily establish relationships between multiple visual elements like tables and charts. This will, in turn, lead to a more robust understanding of the data.

Furthermore, interactions improve the overall user experience. To get the most out of your Power BI edit interactions, you’ll have to:

  • Ascertain that there are proper connections between the visual elements.
  • Take advantage of the highlighting and cross-filtering features.
  • Provide clear and succinct instructions and these instructions should serve as a guideline on how to interact with your report.

How to Enable Visual Interaction Control?

Having access to edit a report is a prerequisite to enabling visual interaction control. Enabling the visual interaction control helps you customize how the highlight and filter features work on your report. Here are easy steps to help you get started.

  1. Make the visualization active by selecting it.
  2. Showcase the Visual Interactions options.
    • From the Power BI Desktop menu, choose Format > Edit interactions.
Choose Edit Interactions From Format Tab for Doing Power BI Edit Interactions
  1. Highlight and filter icons are added by Power BI to other visualizations on your report page.
Filter Icon Added for Doing Power BI Edit Interactions

How Many Types of Power BI Visual Interaction?

When it comes to Power BI visual interactions, there are options for the designer to either turn the visual interactions on or off. The designer can also manipulate the visual using visual interactions like cross-highlighting, cross-filtering, or drilling behavior.

Cross-filter and cross-highlight

Cross-filtering and cross-highlighting show you how a value in one data contributes to the other. The report pages below show a pictorial representation of cross-filtering and cross-highlighting. The values found in the Total Category Volume by Segment are Convenience and Moderation.

Report Pages have Cross-Filtering and Cross-Highlighting for Doing Power BI Edit Interactions

Moderation is selected in the image below.

Moderation Selected for Doing Power BI Edit Interactions

Since Moderation is the selected value on a bar chart, you’ll notice:

  • Data that doesn’t apply to it is removed through cross-filtering. Data points displayed on the line chart are those of the Moderation segment. In other words, if you select the Moderation segment in the bar chart, the line chart gets cross-filtered.
  • Original data points that apply to the Moderation segment are retained, while that portion that doesn’t apply to it is dimed through cross-highlighting. When the Moderation segment is selected in the bar chart, it cross-highlights the column chart. That is, data that corresponds to the convenience segment is dimed in the column chart, while the data that corresponds to the Moderation segment is highlighted.

How to Edit Interaction in Power BI?

Here are steps to help you during the Power BI edit interactions.

  • Open Report: Open the Power BI report in the Power BI Desktop.
  • Select Visual: Choose your preferred visual.
  • Open Context Menu: To open your context menu, right-click on the visual.
  • Edit Interactions: From the menu, select “Edit interaction.”
  • Adjust Interaction: There are lots of icons on the report. Click on your preferred icon to interact with it.
  • Choose Interaction Type: Choose any of the options like “Highlight,” “Filter,” or “None.”
  • Apply Changes: To edit interactions on any visual, repeat the steps above.
  • Confirm: Click the “OK” button to apply your changes.
  • Test Interactions: To test interactions, make a selection in one visual and observe the changes that are made in other visuals.

How to Create a Visualization in Power BI?

Stage 1: Logging in to Power BI

  • Log in to Power BI.
  • Enter your email address and click the “Submit” button.
Enter email to login to Power BI
  • You are redirected to your Microsoft account.
  • Enter your password and click “Sign in“.
Enter Password to login to Power BI
  • You can choose whether to stay signed in.
Click on stay signed in
  • Once done, the Power BI home screen will open.

Stage 2: Creating a Data Set and Selecting the Data Set to Use in Your Chart

  • Go to the left-side menu and click the “Create” button.
  • Select “Paste or manually enter data“.
select Paste or manually enter data in Power BI ce487
  • We’ll use the sample data below for this example.
Application Channels Initial Screening Conduct Interviews Employee Onboarding Total Candidates
Social Media Short Listed Final Interview Hired 32
Social Media Short Listed Final Interview Not Hired 400
Social Media Short Listed Knocked Out 800
Social Media Knocked Out 1100
Company Career Page Short Listed Final Interview Hired 20
Company Career Page Short Listed Final Interview Not Hired 250
Company Career Page Short Listed Knocked Out 500
Company Career Page Knocked Out 900
Events Short Listed Final Interview Hired 5
Events Short Listed Final Interview Not Hired 100
Events Short Listed Knocked Out 200
Events Knocked Out 350
Paper Media Short Listed Final Interview Hired 3
Paper Media Short Listed Final Interview Not Hired 80
Paper Media Short Listed Knocked Out 135
Paper Media Knocked Out 700
Employee Referrals Short Listed Final Interview Hired 10
Employee Referrals Short Listed Final Interview Not Hired 70
Employee Referrals Short Listed Knocked Out 80
Employee Referrals Knocked Out 110
Direct Short Listed Final Interview Hired 25
Direct Short Listed Final Interview Not Hired 150
Direct Short Listed Knocked Out 425
Direct Knocked Out 600
  • Paste the data table into a “Power Query” window. After that, choose “Create a dataset only.”
Choose Create a Dataset Only After Doing Power BI Edit Interactions
  • Click on “Data Hub” to get Power BI to populate your data set list.
Click Data Hub After Doing Power BI Edit Interactions
  • From the dropdown menu, click on “Create report.”
Click on Create Report After Doing Power BI Edit Interactions
  • At this point, you’ll have to add the Power BI Sankey Diagram Extension by ChartExpo. Here’s how to do that:
    • To create the Sankey Diagram, you’ll have to use the Power BI visual or add-in from the AppSource.
    • On the right side of your Power BI dashboard, click on the visualizations panel.
    • Click on the ellipsis symbol (…) to import the Power BI Sankey Diagram extension by ChartExpo.
    • From the menu displayed on your screen, choose “Get more visuals.”
Click Get More Visuals After Doing Power BI Edit Interactions
  • Next, you’ll have to enter “ChartExpo” in the search box. After that, you’ll see the “Sankey Diagram for Power BI by ChartExpo” option click on it.
Search Sankey Diagram for Power BI After Doing Power BI Edit Interactions
  • Click on the “Add” button on your screen.
Click Add Button After Doing Power BI Edit Interactions
  • The “Sankey Diagram for Power BI by ChartExpo” icon will be added to the visualization panel.
Sankey Diagram for Power BI Icon Added After Doing Power BI Edit Interactions
  • Follow the steps below to draw a Sankey Diagram with ChartExpo’s Power BI extension.
    • From the visualization panel, choose “Sankey Diagram for Power BI by ChartExpo.”
Choose Sankey Diagram After Doing Power BI Edit Interactions
  • Here’s where to select the fields in your Sankey chart.
Select Fields for Sankey Diagram After Doing Power BI Edit Interactions
  • Here’s the sequence you must follow when selecting the fields:
    • Application Channels
    • Initial Screening
    • Conduct Interviews
    • Employee Onboarding
    • Total Candidates.
  • At this point, you’ll be required to input your email address or ChartExpo license key.
Enter License Key After Doing Power BI Edit Interactions
  • After inputting the key, a chart will be displayed on your screen. Provide a top header text for your chart and that can be done within the space under the General section.
Add Chart Header After Doing Power BI Edit Interactions
  • Click on visual and set your preferred numbers. Also, enable the options as shown in the image below.
Click Visual and Set Preferred Number After Doing Power BI Edit Interactions
  • The image below shows how to change the “Node Font Style.”
Change Node Font Style After Doing Power BI Edit Interactions
  • Here’s how to change the “Level Font Style.”
Change Level Font Style After Doing Power BI Edit Interactions
  • Here’s how to check the Level Labels.
Check Level Labels After Doing Power BI Edit Interactions
  • The image below shows how to change the Node’s color.
Change Node Color After Doing Power BI Edit Interactions
  • From the image below, you’ll see how to change “Level 1 Color.” The same process can be followed to change the Node color of other levels.
Change Color of Level 1 Color After Doing Power BI Edit Interactions
  • Here’s the final look at the HR Dashboard in Power BI.
Final Power BI Edit Interactions

Insights

Here are some insights you’ll get from the Power BI with ChartExpo.

  • The number of candidates on the social media and company career page are 1100 and 900 respectively. And they’re the two application channels with the highest number of candidates
  • Direct applications and employee referrals have 600 and 110 candidates respectively
  • Social media has the highest number of shortlisted candidates
  • Events and Paper Media have a lower number of shortlisted candidates.

Discover Seamless Visual Dynamics with Power BI Edit Interactions:

Unlock the full potential of your Power BI dashboards with the Edit Interactions feature in this hands-on tutorial. This powerful tool allows you to control how charts and graphs respond to user selections, creating tailored, interactive visualizations that enhance data exploration. Whether you’re filtering data across multiple visuals, focusing on specific metrics, or customizing report behavior, mastering Edit Interactions ensures your dashboards tell a cohesive and meaningful story. With precise control over visual interactions, you can drive better insights, improve usability, and deliver impactful presentations that resonate with your audience.

What are the Tips for Editing Power BI Visual Interaction?

Here are some tips to help you through your Power BI edit interactions.

  1. Plan Your Interactions: Plan how your visuals will interact with each other. This will help ascertain an intuitive and coherent user experience.
  2. Start Simple: Always start with basic interactions. You can begin with one or two visuals and slowly add more complex interactions.
  3. Consider User Flow: Your interactions should enhance the user’s ability to enhance and analyze the data.
  4. Test Interactions: Your interactions should be tested regularly. This will help you ascertain that they work, and possibly make the adjustments (if needed).
  5. Use Consistent Design: Your visual designs should be consistent across all reports. This improves the overall user experience.
  6. Document Interactions: Interactions used in the Power BI report should be documented and that includes the rationale behind these interactions. Documentation helps facilitate collaboration during future projects.
  7. Review Performance: Keep a close eye on your interactions, and keep optimizing them to eliminate negative impacts on the overall performance.
  8. Educate Users: Provide training materials, tooltips, and interactive tutorials to help users learn how to utilize and interpret interactions.

Common Mistakes to Avoid When Editing Power BI Interactions

Here are mistakes to avoid during Power BI edit interactions.

  1. Overcomplicating Interactions: Creating complex interactions will most likely confuse your users and complicate things. Always avoid including unnecessary interactions in your report.
  2. Negligence in Testing Interactions: Always test interactions in the report. If not, you’ll encounter errors.
  3. Ignoring User Feedback: User feedback on interactions is the backbone of improving the overall user experience. Always ask for feedback, and integrate their response into your interactions.
  4. Lack of Documentation: Documenting interactions helps boost collaboration. When there’s a failure to document interactions, it becomes increasingly difficult to collaborate with others. It also hinders future updates.
  5. Lack of User Guidance: Interactive tutorials, instructional text, and tooltips should be provided. Failure to do this makes it difficult to utilize and interpret interactions.

FAQs

How Do I Delete Interactions in Power BI?

Deleting interactions in Power BI is quite simple. Right-click on your visual, and choose “Edit interactions.” Next, select the icon that’s next to the visual the interaction will be removed from. After that, select “None.”

How Do Edit Interactions Work?

Power BI edit interactions help users determine how visuals interact with one another in the report. It specifies the visual that highlights, filters, or has no interaction with the other visual.

What Does Power BI Edit Interactions Mean?

Edit interactions in Power BI enable users to determine how visuals within a report interact with one another. It determines if a visual highlights, filters, or records no interaction with the other visual in the report.

Wrap Up

Power BI edit interactions show how users’ actions affect how visuals within a report interact with each other. It’s a significant piece of data exploration and it enables users to highlight (or filter) multiple visuals within a report. This will, in turn, help users draw better insights and make deeper data analysis.

To create a compelling dashboard in Power BI, you should consider using visualizations like the Sankey chart.

When it comes to Power BI interactions, less is more, and avoid complicating interactions. Your interactions should be simple, and easy for the users to interpret. Start with the basic interactions before adding some complexity to the mix.

Furthermore, test interactions across multiple scenarios to ascertain that they’re working as intended.

Now you know how Power BI edit interaction works, what things will you look out for when creating visualization in Power BI with ChartExpo?

How much did you enjoy this article?

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