Forum Discussion
Multi usage measure
In a table, I have duplicate values, But I've to calcuate ignoring the duplicate.
In one chart need to dispaly the date (dd-mm-yy) wise and in another chart in Month mmm-yy.
1)In month, it is simple to have it without duplicate.
2) In Date, it should take sum without duplicate, and divide the value by 2.
- Anonymous2 years ago
Hi VK7
Here I create a set of sample:In Power Query, both-select Name and Date column and right-click, select Remove Duplicates.
Apply&Close
Then add 2 calculated table:
Table2 = SUMMARIZE('Table','Table'[Date],"_sum",SUM('Table'[Product Sold]))Table 3 = VAR _vtable = SELECTCOLUMNS('Table','Table'[Date],'Table'[Product Sold],"Year/Month",FORMAT('Table'[Date],"MMM-YY")) RETURN SUMMARIZE(_vtable,[Year/Month],"_sum",SUMX(FILTER(_vtable,[Year/Month]=EARLIER([Year/Month])),[Product Sold]))The result is as follow:
Best Regards
Zhengdong Xu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
3 Replies
- AnonymousNot applicable
Hi VK7
Actually that i can't understand your expression well.
The 2 Outputs seems too comfused, if possible, please share more detailed description of the outputs.
Best Regards
Zhengdong Xu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.- VK7Frequent Visitor
I'm sorry for that,
Output1: We need a chart with Proper date wise (dd-mm-yyyy) by sum of sales but distinct value. So if you look at the image the value for 20-06-24 is 4, cos of one duplicate value which i highlightd in red.
Output2: Same like output1 but isnstaed of proper date, need for only Monthly wise
To add few more details, its too large volume & we cant revome duplicate.- AnonymousNot applicable
Hi VK7
Here I create a set of sample:In Power Query, both-select Name and Date column and right-click, select Remove Duplicates.
Apply&Close
Then add 2 calculated table:
Table2 = SUMMARIZE('Table','Table'[Date],"_sum",SUM('Table'[Product Sold]))Table 3 = VAR _vtable = SELECTCOLUMNS('Table','Table'[Date],'Table'[Product Sold],"Year/Month",FORMAT('Table'[Date],"MMM-YY")) RETURN SUMMARIZE(_vtable,[Year/Month],"_sum",SUMX(FILTER(_vtable,[Year/Month]=EARLIER([Year/Month])),[Product Sold]))The result is as follow:
Best Regards
Zhengdong Xu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.