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4.6 How to Apply Conditional Formatting in Matrix in Power BI | Power BI Tutorials for Beginners
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#pavanlalwani #powerbi #dashboarddesign #dataanalytics
In this video, we will explore the process of working with conditional formatting in matrix charts in Power BI. Conditional formatting is similar to what we have previously seen in tables, but now we will see how it functions in matrices. By following along with the demonstration, you will learn how to apply conditional formatting to matrices, creating data bars for each section. Additionally, you will discover how to sort columns based on ascending or descending order, allowing you to identify the maximum sales in each region. There is also an option to customize the color and appearance of the data bars using the advanced control button. This enables you to make changes to the color scheme, making it easier to interpret positive and negative profits. Furthermore, we will explain how to disable the values behind the bars if desired, leaving only the bars visible. Finally, we will briefly touch on using icons to represent different performance levels in matrices. By the end of this tutorial, you will have a clear understanding of how conditional formatting works in matrix charts in Power BI, which can aid in the analysis and visualization of your data.
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Timestamps:
00:00:03 Conditional Formatting in Matrix 📊
00:00:24 Applying Data Bars 📈
00:00:52 Sorting based on Total ▲▼
00:01:22 Changing Colors for Positive and Negative Profits 🌈
00:01:52 Differentiating Profitable and Unprofitable Items ✅❌
00:02:21 Disabling Values, Show Only Bars 📊
00:02:50 Using Icons for Visual Representation 🖼️
00:03:19 KPIs and Key Performance Indicators 🔑✨
In this video, we will explore the process of working with conditional formatting in matrix charts in Power BI. Conditional formatting is similar to what we have previously seen in tables, but now we will see how it functions in matrices. By following along with the demonstration, you will learn how to apply conditional formatting to matrices, creating data bars for each section. Additionally, you will discover how to sort columns based on ascending or descending order, allowing you to identify the maximum sales in each region. There is also an option to customize the color and appearance of the data bars using the advanced control button. This enables you to make changes to the color scheme, making it easier to interpret positive and negative profits. Furthermore, we will explain how to disable the values behind the bars if desired, leaving only the bars visible. Finally, we will briefly touch on using icons to represent different performance levels in matrices. By the end of this tutorial, you will have a clear understanding of how conditional formatting works in matrix charts in Power BI, which can aid in the analysis and visualization of your data.
---------------------------------------------------------
💼 Invest in your future with our Power BI 2023 NEW Course at an incredible 50% discount:
📚 200+ MCQs to test your knowledge.
📝 20+ Assignments for hands-on practice.
🔍 11+ Case Studies for real-world insights.
💼 5+ Industry Projects to build your portfolio.
🎓 Course Completion Certificate for your resume.
💡 Tips & Tricks to boost your skills.
🔎 5+ Industry Datasets for practical learning.
Join thousands of professionals who have transformed their careers. Enroll now at 50% off!
You can also explore our Power BI DAX 2023 course and get a 360º understanding of DAX
Invest in yourself. Become a Power BI expert. The future is yours! 💼💪"
#datacleaning #businessintelligence #powerbi #powerbitraining #microsoftpowerbi
---------------------------------------------------------
Timestamps:
00:00:03 Conditional Formatting in Matrix 📊
00:00:24 Applying Data Bars 📈
00:00:52 Sorting based on Total ▲▼
00:01:22 Changing Colors for Positive and Negative Profits 🌈
00:01:52 Differentiating Profitable and Unprofitable Items ✅❌
00:02:21 Disabling Values, Show Only Bars 📊
00:02:50 Using Icons for Visual Representation 🖼️
00:03:19 KPIs and Key Performance Indicators 🔑✨
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