Power Query Conditional Column | Power BI | Episode 08
Data_to_Intelligence
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Power Query Conditional Column | Power BI | Episode 08
74 просмотра · 3 нед. назад
Data_to_Intelligence
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74 просмотра · 3 нед. назад
📊 Power Query – How to Add a Conditional Column | Episode 08
Welcome to Episode 08 of the complete Power Query tutorial series by Dr. Banshilal Patidar.
🎬 Download dataset :- https://drive.google.com/drive/folder...
In this practical episode, we will learn How to Add a Conditional Column in Power Query and use IF-THEN-ELSE logic to create meaningful business categories from our data.
Conditional Columns are extremely useful for creating status, categories, classifications, flags, and business rules while preparing data for Power BI.
🔹 In this episode, you will learn:
✅ What is a Conditional Column?
✅ How to add a Conditional Column
✅ Understanding IF-THEN-ELSE logic
✅ Creating conditions based on numbers
✅ Creating conditions based on text
✅ Creating multiple conditions
✅ Using AND / OR logic
✅ Creating Sales Categories
✅ Creating Performance Status
✅ Creating Target vs Actual Status
✅ Creating High / Medium / Low classifications
✅ Understanding multiple conditions and their order
✅ Understanding the M code generated by Power Query
✅ Common mistakes while creating Conditional Columns
💡 You will also learn why the order of conditions matters when creating multiple rules.
🔥 Conditional Column vs Custom Column
Conditional Column:
Best when you want to create business rules using an easy IF-THEN-ELSE interface.
Custom Column:
Best when you need more flexible calculations and advanced M expressions.
Understanding this difference will help you choose the right Power Query tool for your requirement.
👨🏫 Instructor:
Dr. Banshilal Patidar
If you find this tutorial useful:
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💬 Comment your questions
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📢 Share it with other Power BI learners
🔔 Subscribe for the complete Power Query series
💡 Question for you:
What would you create using a Conditional Column — Sales Category, Customer Category, or Performance Status?
Comment your answer below! 👇
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