Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I have 2 tables (which are obtained via two separate queries):
- In Details table I have columns like Date, Country, Customer, Text and some other columns
- In Products table I have a list of products (in a column)
The Text column from Details table contains something like this: "Info request on product Delta" or "Inquiry about Gamma issues". Delta and Gamma are products listed in the Products table.
What I want is to add a Product column in Details table based on what the Text column contains and matching it with the Products table.
Any idea how to do this? Can I do it with power query M language? Or do I need DAX?
I want to slice and dice my Products based on Date, Country, Customer etc from Details event though my Products are buried in the Text column.
Solved! Go to Solution.
Hi @Croy
Try this calculated column in DETAILS table
Calculated Column = CONCATENATEX ( FILTER ( Products, SEARCH ( Products[Products], Details[Text],, 0 ) > 0 ), Products[Products], ", " )
Hi Croy, if you link both tables using "Product" as the relationship point you should be able to create a new column on your Details Table using = RELATED(Product[Product])
I'm thinking you will want to use the DAX SEARCH or FIND functions to achieve what you are going after. Perhaps coupled with LOOKUPVALUE as well. Now that I am thinking about it, I don't generally reference other queries from a single query in M in the manner you are describing.
Hi @Croy
Try this calculated column in DETAILS table
Calculated Column = CONCATENATEX ( FILTER ( Products, SEARCH ( Products[Products], Details[Text],, 0 ) > 0 ), Products[Products], ", " )
Hi Zubair, if the text field contains multiple keywords the formula returns multiple categories. Anyway to just get the first one that matches.
Awesome solution Zubair. Many thanks 🙂
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
113 | |
99 | |
80 | |
70 | |
59 |
User | Count |
---|---|
150 | |
119 | |
104 | |
87 | |
67 |