Master the DECOMPOSITION TREE Power BI Visual!!!

  Рет қаралды 3,419

Power BI Bro

9 ай бұрын

Power BI Decomposition Tree Visual Tutorial: Harnessing AI Insights! Dive into the world of AI-driven insights with our comprehensive tutorial on "Power BI Decomposition Tree Visuals." This tutorial is designed to guide you through harnessing the power of the Decomposition Tree feature in Power BI to uncover valuable insights within your data. Learn how to effectively visualize and analyze hierarchical data structures, identify key influencers, and understand the underlying factors driving trends and patterns in your data. Follow along with practical examples, step-by-step instructions, and expert tips to master the creation and customization of Decomposition Tree visuals. Whether you're a beginner or an experienced user, this tutorial empowers you to leverage AI-driven insights for enhanced data analysis and decision-making in Power BI. Join us on this educational journey to unlock the full potential of the Decomposition Tree visual in Power BI!
In this Power BI decomposition tree tutorial, I will explain how to fully master the decomposition tree power bi visual.
You might be wondering, what is the decomposition tree visual in power bi? Don't worry, I will show you everything you need to know to unlock all of the features of the decomposition tree AI visual. This tutorial will help both the advanced power bi developer as well as power bi beginners.
Follow along using the same file!
Filename = 20240102 - AI Visuals.pbix
github.com/powerbibro/powerbibro
Microsoft Learn Decomposition Tree Documentation
learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-decomposition-tree
Timestamps:
0:00 - Introduction
0:45 - Power BI Overview and Design Intent
3:33 - Review the Dataset
4:22 - Decomposition Tree Overview & AI Splits
12:40 - Configure the Decomposition Tree
17:15 - Formatting the Visual
If you're looking to create a decomposition tree in Power BI, this AI visual tutorial will show you how to do it step-by-step!
Decomposition trees are a powerful data analysis tool that can help you understand your data better. In this visual tutorial, we'll walk you through the steps necessary to create a decomposition tree in Power BI. After watching this tutorial, you'll be able to use decomposition trees to analyze your data in a more efficient and effective way!
#powerbi #powerbidesktop #powerbibro #powerbitutorial
#datavisualization #dataanalytics #businessintelligence #microsoftfabric #dax

Пікірлер: 8
@ScrollwithRM33
@ScrollwithRM33 3 ай бұрын
Hey Bro !! your videos as awesome!!! pls keep on making them so that you can contribute to the whole community of Power BI users!! Thanks a ton!!!
@PowerBIBro
@PowerBIBro 3 ай бұрын
Glad you think the videos are awesome! This comment just made my day, thank you for sharing!!!
@tonymiller225
@tonymiller225 Ай бұрын
Best Decomposition tree on KZbin - nice one dude
@PowerBIBro
@PowerBIBro Ай бұрын
Thank you for sharing and I’m happy to hear this feedback!!!
@SmartBimson
@SmartBimson 9 ай бұрын
Hey Bro, antiker really great video about a very interesting topic .. it’s amazing what you have been uploading so far this year 🎉 great work ! Love it !
@PowerBIBro
@PowerBIBro 9 ай бұрын
Thank you so much!!!
@chicagorealtynow
@chicagorealtynow 7 ай бұрын
Overall, I thought this was great. But I do have one suggestion. Your explanation of Absolute vs Relative analysis was unclear. I think if you simply say absolute is based off the actual total events and relative is based of of a percent of total, then that would have been a lot clearer. I'm just learning this myself and feel you did a great job but you had me scratching my head with absolute vs relative analysis and why I would choose one over the other. Absolute is when I want to see the actual total numbers vs relative when I want to see how the category total rolls up to the grand total.
@PowerBIBro
@PowerBIBro 7 ай бұрын
I love this feedback and I totally agree. Thanks for both your honesty and taking the time to share, it’s great feedback!
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