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Hello!
I am looking for a way to count new and lost projects per month and per company.
My data looks as follows:
Company | Month | Project |
100 | 06-2024 | 100_1 |
100 | 06-2024 | 100_2 |
100 | 06-2024 | 100_3 |
100 | 07-2024 | 100_1 |
100 | 07-2024 | 100_2 |
100 | 07-2024 | 100_4 |
100 | 07-2024 | 100_5 |
300 | 06-2024 | 300_1 |
300 | 06-2024 | 300_2 |
300 | 06-2024 | 300_3 |
300 | 06-2024 | 300_4 |
300 | 07-2024 | 300_1 |
300 | 07-2024 | 300_5 |
So I have unique project-numbers for every company and those can change from one to another month. I would like a table where I can see the number of projects per month and the number of new and lost projects from the last month. Something like this:
Company | Month | Num Project | New Project | Lost Project |
100 | 07-2024 | 4 | 2 | 1 |
300 | 07-2024 | 2 | 1 | 3 |
I have tried different approaches, but I was not able to find the right function or set analysis statement yet. I hope you have an idea to solve my problem.
Thank you!
Best regards,
Daniel
@Daniel26
Check out this example of the top 10 visualization tips for new, returning, and lost customers. You can use this same logic.
- Matheus
@Daniel26
Check out this example of the top 10 visualization tips for new, returning, and lost customers. You can use this same logic.
- Matheus
Hi @MatheusC !
Great, I was able to solve it using the logic you posted.
Thanks a lot, fantastic support.
Best regards,
Daniel