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Hi,
I have been working on this for almost a week now but couldn't figure out.
Below is my sample dataset.
Missing Dates table
Date | DB Name - Points id |
Apr 2,2022 | northyorcc-1010 |
Mar 2,2022 | inse-1017 |
Target table
DBName-Point_id | Target type | Value Type | Value |
northyorcc-1010 | 0 | Value_10 | -11 |
northyorcc-1010 | 0 | Value_11 | -545 |
inse-1017 | 1 | Value_01 | 1 |
inse-1017 | 0 | Value_02 | 65 |
northyorcc-1010 | 1 | Value_03 | 6 |
northyorcc-1010 | 2 | Value_03 | 9 |
northyorcc-1010 | 2 | Value_03 | -3 |
inse-1017 | 1 | Value_02 | 10 |
northyorcc-1010 | 3 | Value_03 | 12 |
inse-1017 | 2 | Value_02 | 10 |
inse-1017 | 3 | Value_02 | 10 |
I am confused with how to create a calculated column in missing dates table. I tried many measures but this confuses me.
I need to create a calculated column called 'Target Units' in Missing Dates table that sums the Target table 'Value' column if their target type is 0 & it corresponds to their DBName_Point_id.
Similarly, calculated column called 'Target Cost' in Missing Dates table that sums the Target table 'Value' column if their target type is 1.
Both the calculated columns are created for their corresponding points id
Expected output would look something like below:
Date | DB Name - Points id | Target units | Target cost |
Apr 2,2022 | northyorcc-1010 | -556 | 6 |
Mar 2,2022 | inse-1017 | 65 | 11 |
PFA sample file here
Calculated column referencing other tables.pbix
Thanks in advance.
@Ahmedx @grantsamborn @Greg_Deckler
Solved! Go to Solution.
Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.
pls try this
pls try this
Hi @Ahmedx ,
Many thanks for your patience
Today I had a chance to test this and found the below:
The solution is perfect and it works great. But I need a slight change with a way this measure sums the Target value.
I have this below dataset after testing:
Target table:
DBName-Point_Id | TargetType | Value Type | Value | Source_Num | Source |
INSE-792 | 0 | Value_12 | 659.5999756 | 4 | Budget |
Missing Dates table:
Date | DB Name - Points Id | unitTarget |
31-Dec-26 | INSE-792 | 15020.32397 |
30-Dec-26 | INSE-792 | 15020.32397 |
29-Dec-26 | INSE-792 | 15020.32397 |
Month Lookup
Value Type | Month |
Value_01 | January |
Value_02 | February |
Value_03 | March |
Value_04 | April |
Value_05 | May |
Value_06 | June |
Value_07 | July |
Value_08 | August |
Value_09 | September |
Value_10 | October |
Value_11 | November |
Value_12 | December |
This measure currently sums all the target value for their corresponding DBName_Point_id.But this measure should also sum target value corresponding to their target table Month(Value Type).
The month in Date column should match corresponding month(Value Type) in Target table and get the value.
I am confused how to modify this measure to include the filter condition target table Month(Value Type)
as they don't have month name directly specified(ex:Value_01 for January,Value_02 for February etc.). I had created the Month lookup table and tried but didn't help.
The expected output:
Date | DB Name - Points Id | unitTarget |
31-Dec-26 | INSE-792 | 659.5999756 |
30-Dec-26 | INSE-792 | 659.5999756 |
29-Dec-26 | INSE-792 | 659.5999756 |
This above 659.599 is the corresponding target value of INSE-792 for month of December(Value_Type 12).
Can you please guide me on this ?
PFA sample file in below link:
Calculated column referencing other tables_total.pbix
Please let me know if you need further info.
Thanks in advance
Hi @Ahmedx ,
Brilliant and spot on!
Thats the expected solution and I will accept this as a solution.
Kudos to your quick response.
Once again many thanks to you and the community!
Hi @Ahmedx ,
Apologise for the delay in response!
Brilliant, many thanks for wonderful solution.
Will get back on this after testing them😊
Thanks
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