The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.
My requirement is to add data into the blank row. My data is
Creation date | Creation from system | Deleting |
12/5/2016 | 12/5/2016 | |
13/5/2016 | ||
14/5/2016 | ||
15/1/2016 | 15/6/2017 | |
16/1/2016 | 16/6/2017 | |
16/1/2016 | 17/6/2017 | |
12/4/2017 | ||
13/4/2017 | ||
14/4/2017 | ||
16/1/2016 | 16/4/2018 | |
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 |
Creation date(In the first column) is from manual adding. We can't collect some data so we need to get the date from the system. (Second column) We found more data but something has deleted from the system then we lose some data too. So we want to merge the data that empty from the system to get all of the data (Not merge). Like in the picture
And this is the result.
Creation date | Creation from system | Deleting |
12/5/2016 | 12/5/2016 | |
13/5/2016 | ||
14/5/2016 | ||
15/1/2016 | 15/1/2016 | 15/6/2017 |
16/1/2016 | 16/1/2016 | 16/6/2017 |
16/1/2016 | 16/1/2016 | 17/6/2017 |
12/4/2017 | ||
13/4/2017 | ||
14/4/2017 | ||
16/1/2016 | 17/1/2016 | 16/4/2018 |
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 | ||
12/2/2017 |
Can I do this in Power BI? Could you please suggest me hot to do this in DAX?
Thank you all.
Solved! Go to Solution.
Hi @saranp780,
You could create a calculated column with the formula below.
Column 2 = 'table'[Creation from system] & IF ( ISBLANK ( 'table'[Creation from system] ), 'table'[Creation date] )
Here is the output.
Hope this can help you!
Best Regards,
Cherry
Hi @saranp780,
You could create a calculated column with the formula below.
Column 2 = 'table'[Creation from system] & IF ( ISBLANK ( 'table'[Creation from system] ), 'table'[Creation date] )
Here is the output.
Hope this can help you!
Best Regards,
Cherry
User | Count |
---|---|
65 | |
60 | |
55 | |
54 | |
31 |
User | Count |
---|---|
180 | |
88 | |
70 | |
46 | |
46 |