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Hello,
I have data in this format:
I want to calculate the difference between the date linked to first_open and the date linked to app_remove.
How can i do that? is it possible?
Solved! Go to Solution.
Hi:
Please see file for calc column. I hope this is a good solution for you!
https://drive.google.com/file/d/1bwbHewq0a3b0qU1oK9ntS5CK-yFAUSxL/view?usp=sharing
Hi:
I assume you want that difference based on the user id field?
Can you send example data with some ID;s that have user_action with both dates? It will be easier to work on data example.
Thanks..
Hi, here you go:
user_pseudo_id | user_action | event_date |
00501ccd007a26fe4eb0e5ba77d34ade | app_remove | 03/05/2022 |
00ad8194133c426cffb6ec2aa3deb745 | app_remove | 03/05/2022 |
009fab1c9b03791fc35fb8d9dac5a6fa | app_remove | 29/04/2022 |
00f8357f1414565d7fe4d9765c3f3f83 | app_remove | 29/04/2022 |
01cd6bc125b85f286efd0ff3350ddbea | app_remove | 30/04/2022 |
000de56dc6fc2f6acd858670eaf37750 | app_remove | 30/04/2022 |
01642376dc47a6ae2c6483fc716bcb8e | app_remove | 30/04/2022 |
0162782356cacc87d12a750eb0eeed08 | app_remove | 30/04/2022 |
018739eeb0d82786062ec4e67c4f68b1 | app_remove | 01/05/2022 |
02239ab06d6e2329ceffb918bae34475 | app_remove | 01/05/2022 |
00ad8194133c426cffb6ec2aa3deb745 | first_open | 03/05/2022 |
02239ab06d6e2329ceffb918bae34475 | first_open | 01/05/2022 |
018739eeb0d82786062ec4e67c4f68b1 | first_open | 01/05/2022 |
009fab1c9b03791fc35fb8d9dac5a6fa | first_open | 06/04/2022 |
0162782356cacc87d12a750eb0eeed08 | first_open | 21/04/2022 |
01642376dc47a6ae2c6483fc716bcb8e | first_open | 24/04/2022 |
Hi:
Please see file for calc column. I hope this is a good solution for you!
https://drive.google.com/file/d/1bwbHewq0a3b0qU1oK9ntS5CK-yFAUSxL/view?usp=sharing
Hi,
Thank you so much!.
This looks good, but i need to try it out at my end. Just a quick question though, can i still insert a calculated column even though the data is coming in via direct query?
Yes, unfortunately it is not working on direct query...
Is there any other way to make this query?
Hi:
I did not relaize DQ. I know it is more limited. I've tried another way which is on the attached file. If you could do import, it's easier for modeling. I will paste link on limitations of DQ.
https://drive.google.com/file/d/1bwbHewq0a3b0qU1oK9ntS5CK-yFAUSxL/view?usp=sharing
Using DirectQuery in Power BI - Power BI | Microsoft Docs
I hope you can mark original question as solved.. Thanks
Will it be possible for you to please explain this soltuion. I see youve created two new tables?App remove and app open?
Hi:
I created the two tables as a way to use LOOKUPVALUE to finangle open & close date on same line. Then it's easier to subtract the date values.
I'm not using DQ (only) very much and understand it is good to use if you have massive data or you need updated reslts quite often. This was simply another approach I tried to get you the answer.
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