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Hello,
I'm dealing with a scenario where I have a table named "Table 1" with project ID, start date, and end date columns.
What I aim to achieve is to count ongoing projects for each month within a list of dates between 2020 and 2023 (that doesnt exist). I want to create a line chart visual which display the number of ongoing project monthly for the past 3 years.
For example, if Project ID number 123456 has a start date of 01/01/2020 and an end date of 01/04/2020, I want to count it as an ongoing project in the line chart for the months 01/2020, 02/2020, 03/2020, and 04/2020 (So for each month there should be a count of 1 because ofthis project)
Thanks in advance,
Hi,
Share some data to work with and show the expected result in a Table format. Share data in a format that can be pasted in an MS Excel file.
ID Start Date End Date
1 | 01/01/2024 | 02/07/2024 |
2 | 20/08/2020 | 04/07/2023 |
3 | 30/10/2021 | 01/01/2022 |
4 | 23/12/2022 | 04/05/2023 |
As for the expected results I want to have a line chart that shows the number of ongoing project per month. Each project will be counted on going for each month between their start date and end date.
Hi @Dadoge ,
I just made a similar requirement, you can refer to this link:Calculate sum() according to a date range - Microsoft Fabric Community, if still in doubt please provide sample data to better solve your problem.
Hope it helps!
Best regards,
Community Support Team_ Scott Chang
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Hello,
thank you for your answer but it unfortunately doesnt work for me.
Here is the data set
IDStart DateEnd Date
1 | 01/01/2024 | 02/07/2024 |
2 | 20/08/2020 | 04/07/2023 |
3 | 30/10/2021 | 01/01/2022 |
4 | 23/12/2022 | 04/05/2023 |
Hi @Dadoge ,
Depending on the requirement you may also have a date sheet, what I have done is to operate on the same date sheet and you can check the result as below:
Hope it helps!
Best regards,
Community Support Team_ Scott Chang
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Thanks for your quick answer !
What i meant with the expected results is that with your data set, there should be a spike for each month between 2020-08-20 and 2023-07-04.
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