This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi all,
I am Struggling since long back. I have data like
| Order num | original date | actual date | invoiced amt times |
| Order1 | June-2016 | June-2016 | 1 |
| Order1 | sept-2016 | march-2017 | 3 |
| Order1 | dec-2016 | march-2018 | 2 |
| Order1 | march-2017 | ||
| Order1 | june-2017 | ||
| Order1 | sept-2017 | ||
| Order1 | dec-2017 | ||
| Order1 | mar-2018 | ||
| Order1 | june-2018 |
What i Need is a new column which will be like,
| Order num | original date | actual date | invoiced amt times | NEw Colum |
| Order1 | June-2016 | June-2016 | 1 | June-2016 |
| Order1 | sept-2016 | march-2017 | 3 | march-2017 |
| Order1 | dec-2016 | march-2018 | 2 | march-2017 |
| Order1 | march-2017 | march-2017 | ||
| Order1 | june-2017 | march-2018 | ||
| Order1 | sept-2017 | march-2018 | ||
| Order1 | dec-2017 | |||
| Order1 | mar-2018 | |||
| Order1 | june-2018 |
So based on the No.of times column, the new column shold be derived.
Please suggest an idea.
Thanks in Advance.
Regards,
Vishnu priya
Solved! Go to Solution.
Hi @AnilKumar,
You can create a index column in Query Editor firstly:
Then create calculated columns below:
Best Regards,
Qiuyun Yu
Hi,
Based on the 3rd and 4th columns, you want to generate the 5th column. What is the use of the 1st and 2nd columns?
Hi @AnilKumar,
You can create a index column in Query Editor firstly:
Then create calculated columns below:
Best Regards,
Qiuyun Yu
Thanks. It worked for my case.
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 27 | |
| 25 | |
| 25 | |
| 21 | |
| 14 |
| User | Count |
|---|---|
| 50 | |
| 44 | |
| 20 | |
| 18 | |
| 18 |