Earn a 50% discount on the DP-600 certification exam by completing the Fabric 30 Days to Learn It challenge.
Hi all...
I'm trying to use a conditional column (or power query) to check for duplicate values in one column and validate they belong to the same product (match) in a second column). I'm close, but I'm getting false positives.
Solved! Go to Solution.
Hi, @timbourdois
Based on your desciption, I created data to reproduce your scenario. The pbix file is attached in the end.
Table:
You may create a custom column in Power Query with the following codes.
let name=[Name],pathname=[Full Path Name],
tab=Table.SelectRows(#"Changed Type",each [Name]=name and[Full Path Name]=pathname)
in
Table.RowCount(tab)
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @timbourdois
Based on your desciption, I created data to reproduce your scenario. The pbix file is attached in the end.
Table:
You may create a custom column in Power Query with the following codes.
let name=[Name],pathname=[Full Path Name],
tab=Table.SelectRows(#"Changed Type",each [Name]=name and[Full Path Name]=pathname)
in
Table.RowCount(tab)
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @v-alq-msft
Thanks for the reply... I'm testing this now (I was away on holiday). Preliminarily, it would appear I'm getting a logical state (True/False) vs. a numerical status, but that actually works well for my need. I'll keep you updated on my results (the query is processing and the table is huge!)...
I'm also going to explore (earlier) as well, but it would seem this will suit my need for the time being... more to follow
@timbourdois See my article on Mean Time Between Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/3395....
You need to be using EARLIER to filter the table for each row to those rows that include the same NAME and then compare the values between rows, again, using EARLIER.
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 |
---|---|
109 | |
102 | |
84 | |
79 | |
70 |
User | Count |
---|---|
120 | |
110 | |
95 | |
82 | |
77 |