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Hello,
I'm trying to create a rank between data from 2 tables
table 1
Company | Category | value |
A | YY | 5 |
A | ZZ | 1 |
B | YY | 3 |
B | ZZ | 4 |
table 2
Company | Type | Category | Value |
C | 1 | YY | 1 |
C | 1 | ZZ | 2 |
D | 1 | YY | 4 |
D | 1 | ZZ | 3 |
E | 2 | ZZ | 2 |
F | 2 | ZZ | 3 |
On a page I have filters for both of them, for example, on table 1 I filtered to show only company A and on table 2 I filtered to show only Type 1.
What I need is to show the rank of company A, using the value, of all categories, and rank with the values of table 2. The result should be:
Company | Category | Value | Rank |
A | YY | 5 | 3 |
A | ZZ | 1 | 1 |
How can I do this?
Thank you
Solved! Go to Solution.
Try this,
DAX code:
Measure =
var __category = SELECTEDVALUE(Table1[Category])
var __table1 = SELECTCOLUMNS(Table1,"Company",Table1[Company],"Category",Table1[Category],"Value",Table1[value])
var __table2 = SELECTCOLUMNS(FILTER(Table2,Table2[Category]=__category),"Company",Table2[Company],"Category",Table2[Category],"Value",Table2[Value])
var __table3 = UNION(__table1,__table2)
var __table4 = ADDCOLUMNS(__table3,"rank",RANKX(__table3,[Value],,ASC))
return
MAXX(FILTER(__table4,[Company]=SELECTEDVALUE(Table1[Company])),[rank])
This measure is designed based on the sample data and expected results you provide. If requirements change, you can adjust the measure .
Best Regards,
Community Support Team _Tang
If this post helps, please consider Accept it as the solution to help the other members find it more quickly.
Best Regards,
Community Support Team _Tang
If this post helps, please consider Accept it as the solution to help the other members find it more quickly.
Hello,
I forgot to say that there os a relationship between them in categoria, so the first line will only look for category YY on table 2 and the second line for category ZZ
Try this,
DAX code:
Measure =
var __category = SELECTEDVALUE(Table1[Category])
var __table1 = SELECTCOLUMNS(Table1,"Company",Table1[Company],"Category",Table1[Category],"Value",Table1[value])
var __table2 = SELECTCOLUMNS(FILTER(Table2,Table2[Category]=__category),"Company",Table2[Company],"Category",Table2[Category],"Value",Table2[Value])
var __table3 = UNION(__table1,__table2)
var __table4 = ADDCOLUMNS(__table3,"rank",RANKX(__table3,[Value],,ASC))
return
MAXX(FILTER(__table4,[Company]=SELECTEDVALUE(Table1[Company])),[rank])
This measure is designed based on the sample data and expected results you provide. If requirements change, you can adjust the measure .
Best Regards,
Community Support Team _Tang
If this post helps, please consider Accept it as the solution to help the other members find it more quickly.
I'm trying something like this
Can you add more details re how you find the rank numbers in the result table?
It's not that clear!
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
I don't know if it helps, but table 1 and table 2 are actually duplicated tables, so they are the same.
I use table 1 to show calculate measures of the company and table 2 to calculate measures of a filtered group of companies in a type.
In this case I want to show the company, category, value and the rank of the value, of that company, within the values of the companies that are filtered by a type, so for company A and category YY should calculate the rank of this value and all the values of the companies with same category and filtered type 1 and the calculated rank shoul be 3. It is the same thing for company A and category ZZ and the rank should be 1
Hi,
It is the rank looking at the values, higher the value higher the rank.
I was trying to do this
r des =
var tb = union(SUMMARIZE('Table 2',"category",MAX('Table 2'[category]),"company",max('Table 2'[company]),"value",sum('Table 2'[value])),
SUMMARIZE('Table 1',"category",MAX('Table 1'[category]),"company",max('Table 1'[company]),"value",sum('Table 1'[value]))
)
return RANKX(tb,[value],,0)
But it says that there is no value on "value"
Thank you
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