Hi
We have a sales table where we have all the sales of different product types. I can calculate % of total sales. What I want if the product types is 2 series, the % of total should be multiplied by 2, if the product types is 3 series, the % of total should be multiplied by 3, if the product types is 4 series, the % of total should be multiplied by 4. Upon addition of the last column, you get 2.693 which indicates we are selling product types between 2 and 3 (more closer to 3 types)
I am unable to do the final calculation where % of total can be multiplied by product type and then combining all together to get the final number
Product Types | Sales | % of Total | % multiplied by product type | |||
2 type | $59843 | 0.46 | 0.916796887 | |||
3 type | $50847 | 0.39 | 1.168466771 | |||
4 type | $19858 | 0.15 | 0.608450532 | |||
2.693714189 |
Solved! Go to Solution.
Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.
https://1drv.ms/u/s!AiUZ0Ws7G26Rh2DVeeDMbnNzhfQo?e=Aq0chX
I created two variants for you
Hi,
In the Query Editor or via a calculated column formula in the Data model, extract the number from the Product Types column in a seperate column. Rename this column as Number. Write this measure
Meausre 1 = sum(Data[Number]))
Measure 2 = SUMX(Values(Data[Product Types]),[% of total]*[Measure 1])
I am assuming that % of total is a measure that you have written.
Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.
https://1drv.ms/u/s!AiUZ0Ws7G26Rh2DVeeDMbnNzhfQo?e=Aq0chX
I created two variants for you