Forum Discussion
Need help with DAX
Hi Folks,
I have two tables, SALES and ITEMS. I have also created a duplicate of ITEMS table called 'FILTERING ITEM'
I need the result table to look like :
The DAX I'm using now is like
Can someone help me with this please?
Thanks,
Nikita
In that case you can apply the following code:
Unique Orders = VAR ItemCount = VALUES(Sales[ORDER_ID]) VAR FilterItemCount = CALCULATETABLE(VALUES(Sales[ORDER_ID]);ALL(Sales);TREATAS(VALUES('Filtering Item'[ITEM_ID]); Sales[ITEM_ID])) RETURN if(VALUE(MIN(Items[ITEM_ID]))<=VALUE(MIN('Filtering Item'[ITEM_ID])); COUNTROWS(INTERSECT(ItemCount;FilterItemCount));BLANK())as seen here:
Link to file here.
Hope this helps you Anonymous .
Kind regards, Steve.
11 Replies
- stevedep
Memorable Member
Hi,
I guess you are trying to implement:
https://www.daxpatterns.com/basket-analysis/
Which in your case would be:
Orders with Both Products = CALCULATE ( DISTINCTCOUNT (Sales[ORDER_ID] ); CALCULATETABLE ( SUMMARIZE ( Sales;Sales[ORDER_ID] ); ALL ( Items ); USERELATIONSHIP ( Sales[ITEM_ID]; 'Filtering Item'[ITEM_ID] ) ) )Please mind the data model:
Result is as expected, as can be seen here:
Power BI file is available here.
Hope it helps, if so, please mark as solution. Thums up for the effort is appreciated.
Kind regards, Steve.
- stevedep
In order to understand what is happening I broke down the calculation, we essentially see that the;
CALCULATE ( DISTINCTCOUNT (Sales[ORDER_ID] );In itself is counting the orders which remain after applying only the filter context set by the columns, the items table.
The calculated table itself is getting the orders with the 'filtered item' only, in this case the items in the rows.
And this table later is used as a filter on the first count (of orders filtered by the column).
In the screen below I broke it down into pieces:
Formula for the top left:
Measure = var __cttbl = CALCULATETABLE ( SUMMARIZE ( Sales;Sales[ORDER_ID] ); ALL ( Items ); USERELATIONSHIP ( Sales[ITEM_ID]; 'Filtering Item'[ITEM_ID] )) return CONCATENATEX(__cttbl;" oid: " & [ORDER_ID])Formula for the bottom left:
Measure2 = var __cttbl = CALCULATETABLE ( SUMMARIZE ( Sales;Sales[ORDER_ID] ); ALL ( Items ); USERELATIONSHIP ( Sales[ITEM_ID]; 'Filtering Item'[ITEM_ID] )) return CALCULATE(CONCATENATEX(Sales; "oid: " & [ORDER_ID]))Formula to the bottom right:
Measure3 = var __cttbl = CALCULATETABLE ( SUMMARIZE ( Sales;Sales[ORDER_ID] ); ALL ( Items ); USERELATIONSHIP ( Sales[ITEM_ID]; 'Filtering Item'[ITEM_ID] )) return CALCULATE(CONCATENATEX(Sales; "oid: " & [ORDER_ID]); __cttbl)I find it very helpful to use variables and concatenatex to understand what is going on and/or debug code.
Hope it helps people out there. Thumbs up if it does. Hi stevedep ,
Thanks for such a detailed explanation. This is what I have implemented. I am getting the below result as of now.
However, I wish to see the data in a correlation heatmap like below. (https://www.linkedin.com/pulse/basket-analysis-power-bi-jani-zajc/)
Do you have an idea how to achieve this?
Thanks,
Nikita
- stevedep
Enable conditional formatting in the matrix on the measure.
Glad to be of help.
Hi Anonymous ,
I am trying to implement market basket analysis. ITEMS table and FILTERING ITEM table are serving as my baskets here.
I want the count of orders who purchased respective items from both baskets in matrix.
I am getting the correct result when I use below DAX.
BothItemsPurchased =CALCULATE (DISTINCTCOUNT( Sales[ORDER_ID] ),CALCULATETABLE (SUMMARIZE ( Sales,Sales[ORDER_ID] ),ALL ( Items ),USERELATIONSHIP ( Sales[ITEM_ID], 'Filtering Item'[ITEM_ID] ))
- stevedep
As for the answer to your question, the code should be:
Unique Orders = VAR ItemCount = VALUES(Sales[ORDER_ID]) VAR FilterItemCount = CALCULATETABLE(VALUES(Sales[ORDER_ID]);ALL(Sales);TREATAS(VALUES('Filtering Item'[ITEM_ID]); Sales[ITEM_ID])) RETURN COUNTROWS(INTERSECT(ItemCount;FilterItemCount))as seen here:
With var FilterItemCount we first take all sales data and then apply the filter on item, set by the independent item table using treatas.
File is here.
Pls mark as solution if this works for you.
Kind regards, Steve.