Transform Tab in Query Editor: How to replace value of your data in Power BI: Lesson-7 P-3
Repace values in Microsoft Power BI : Lesson-7 P-3
To transform values using the "Transform Data" feature (Power Query Editor) in Power BI, follow these steps:
- Load data: Load your data into Power BI Desktop.
- Open the PowerQuery Editor: Go to the "Home" tab and click "Transform Data" or right-click your dataset in the Fields pane and select "Transform Data".
- Select Columns: In the Power Query Editor window, select the column where you want to change the values.
- Replace values: With the column selected, go to the "Home" tab and click "Replace Values" in the "Transform" group.
- Specify the replacement: In the "Replace value" dialog box, enter the value you want to replace in the "Value to find" field and the replacement value in the "Replace with" field. You can add multiple alternatives if needed.
- Confirm Change: Click "OK" to confirm your changes.
- Apply Changes: After making all the required changes, click "Close & Apply" in the Power Query Editor window to apply the changes to your dataset.
By following these steps, you can easily change the values in your dataset using the Power Query Editor in Power BI.
Lab Work to replace values in Power BI
- First of all load data: (Home-Get data-Excel Work book-click on Load button
Then
1:- Home --> transform data --> Transform data
then you have
Replace Values:
Home - Replace Values (of Transform section)
Then you have
- click OK button
after replacement
- change Customer into enduser in a segment coloumn
Microsoft Power BI Table of Contents: Lessons Index
Thanks
Tags:
- Replace Values
- Find and Replace
- Conditional Replacement
- Text Replacement
- Number Replacement
- Date Replacement
- Time Replacement
- Blank Replacement
- Null Replacement
- Error Replacement
- Missing Value Replacement
- Placeholder Replacement
- Pattern Replacement
- Wildcard Replacement
- String Replacement
- Character Replacement
- Special Character Replacement
- Case-sensitive Replacement
- Case-insensitive Replacement
- Exact Match Replacement
- Partial Match Replacement
- Regular Expression Replacement
- Dynamic Replacement
- Static Replacement
- Column Level Replacement
- Row Level Replacement
- Global Replacement
- Local Replacement
- Conditional Replacement Logic
- Advanced Replacement Techniques
- Sequential Replacement
- Parallel Replacement
- Bulk Replacement
- Manual Replacement
- Automated Replacement
- Single Value Replacement
- Multiple Values Replacement
Related Posts
Leave a Reply
You need to login to write a comment!
Popular Posts
-
Khewra Mine Salt
28.12.2023 0 Comments -
Magic Spoon Cereal Review
28.10.2023 0 Comments -
Gus's Fried Chicken
27.12.2023 0 Comments -
free software download websites for pc
21.09.2023 0 Comments -
Perfume History: Perfume: Cologne: Scent: Fragrance
02.04.2024 0 Comments -
Egyptian Perfumery: Perfume History in Egypt
03.04.2024 0 Comments
Categories
- AUTO(11)
- HEALTH(94)
- TECH(10)
- SCIENCE(0)
- SOCIAL MEDIA (0)
- PRESS RELEASES(0)
- TESTIMONIALS (References)(6)
- BIO(1)
- SPORTS (9)
- EARNING ONLINE(0)
- ARCHITECTURE(1)
- IT(51)
- Accessories(3)
- News(19)
- Pet(13)
- Programming (5)
- Shopping (15)
- Visiting Place (18)
- Foods & Candies(9)
- Style and Fashion (3)
- Geography (1)
- Personalities(2)