Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
hi there
date | Customer_id | product a Purchased times | product b Purchased times | Year | Month |
31/1/2015 | 1140009 | 0 | 1 | 2015 | 1 |
28/2/2015 | 1140009 | 0 | 1 | 2015 | 2 |
31/3/2015 | 1140009 | 0 | 1 | 2015 | 3 |
30/4/2015 | 1140009 | 0 | 2 | 2015 | 4 |
31/5/2015 | 1140009 | 1 | 2 | 2015 | 5 |
30/6/2015 | 1140009 | 0 | 2 | 2015 | 6 |
31/7/2015 | 1140009 | 0 | 2 | 2015 | 7 |
31/8/2015 | 1140009 | 0 | 1 | 2015 | 8 |
30/9/2015 | 1140009 | 0 | 1 | 2015 | 9 |
31/10/2015 | 1140009 | 1 | 1 | 2015 | 10 |
30/11/2015 | 1140009 | 0 | 1 | 2015 | 11 |
31/12/2015 | 1140009 | 0 | 1 | 2015 | 12 |
i would like to distinct count the Customers when product b Purchased but product a did non Purchased
i used
product b Purchased only= CALCULATE(DISTINCTCOUNT(table[Customer_id]);table[product b Purchased times]>0;table[product a Purchased times]=0)
it works great when i select one month
for example if i select 2015-1 i have a 1
if i select 2015-10 i have a null
is it possible when i select for example in my filters all 2015 and months to have distinct count null
because i would like to show the customers byued product b but not a in the selected year and this should be in this specific table none.
Solved! Go to Solution.
Hi @giorgiokatr,
Please refer to below measures:
Measure peuchase a = CALCULATE ( SUM ( 'table'[product a Purchased times] ), ALLSELECTED ( 'table'[date] ) ) Measure purchase b = CALCULATE ( SUM ( 'table'[product b Purchased times] ), ALLSELECTED ( 'table'[date] ) ) product b Purchased only = CALCULATE ( DISTINCTCOUNT ( 'table'[Customer_id] ), FILTER ( SUMMARIZE ( 'table', 'table'[Customer_id], "a", SUM ( 'table'[product a Purchased times] ) ), [Measure purchase b] > 0 && [Measure peuchase a] = 0 ) )
Also, I have uploaded my .pbix file for your reference.
Best regards,
Yuliana Gu
Hi @giorgiokatr,
Please refer to below measures:
Measure peuchase a = CALCULATE ( SUM ( 'table'[product a Purchased times] ), ALLSELECTED ( 'table'[date] ) ) Measure purchase b = CALCULATE ( SUM ( 'table'[product b Purchased times] ), ALLSELECTED ( 'table'[date] ) ) product b Purchased only = CALCULATE ( DISTINCTCOUNT ( 'table'[Customer_id] ), FILTER ( SUMMARIZE ( 'table', 'table'[Customer_id], "a", SUM ( 'table'[product a Purchased times] ) ), [Measure purchase b] > 0 && [Measure peuchase a] = 0 ) )
Also, I have uploaded my .pbix file for your reference.
Best regards,
Yuliana Gu
Thanks it works perfect! Just a question
you filter a summarize table with the two criteria
why it works when you use in filter the measures Measure peuchase a and Measure peuchase b and dont just use SUM ( 'table'[product a Purchased times] ?
what is the purpose of allselected?
Hi @giorgiokatr,
The most difference between measures [Measure peuchase a], [Measure peuchase b] and SUM ( 'table'[product a Purchased times]) is the context. You could add [Measure peuchase a] and [Measure peuchase b] into table visual, compare their values with SUM ( 'table'[product a Purchased times]) in each row.
Here is a blog for your reference to better understand ALLSELECTED.
Regards,
Yuliana Gu
Thanks!
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
116 | |
102 | |
78 | |
76 | |
49 |
User | Count |
---|---|
145 | |
108 | |
107 | |
89 | |
61 |