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Solved! Go to Solution.
Hi @jiji ,
Pls refer the below:
1.unpovit:
2.use the below dax to create new column:
WEEK2 = RIGHT('Table 2'[Attribute],1)COUNT = CALCULATE(COUNT('Table 2'[Value]),FILTER(ALL('Table 2'),'Table 2'[Name]=EARLIER('Table 2'[Name])&&'Table 2'[Value]=EARLIER('Table 2'[Value])))COUNT2 = 'Table 2'[COUNT]+0.1*'Table 2'[WEEK2]TEST = MAXX(FILTER('Table 2','Table 2'[Name]=EARLIER('Table 2'[Name])),'Table 2'[COUNT]+0.1*'Table 2'[WEEK2])
3.create new table:
Table 3 = SELECTCOLUMNS(FILTER('Table 2','Table 2'[COUNT2]='Table 2'[TEST]),"Name", 'Table 2'[Name],"Status",'Table 2'[Value],"count",'Table 2'[COUNT])
Output result:
Best Regards
Lucien
Hi @jiji ,
Pls refer the below:
1.unpovit:
2.use the below dax to create new column:
WEEK2 = RIGHT('Table 2'[Attribute],1)COUNT = CALCULATE(COUNT('Table 2'[Value]),FILTER(ALL('Table 2'),'Table 2'[Name]=EARLIER('Table 2'[Name])&&'Table 2'[Value]=EARLIER('Table 2'[Value])))COUNT2 = 'Table 2'[COUNT]+0.1*'Table 2'[WEEK2]TEST = MAXX(FILTER('Table 2','Table 2'[Name]=EARLIER('Table 2'[Name])),'Table 2'[COUNT]+0.1*'Table 2'[WEEK2])
3.create new table:
Table 3 = SELECTCOLUMNS(FILTER('Table 2','Table 2'[COUNT2]='Table 2'[TEST]),"Name", 'Table 2'[Name],"Status",'Table 2'[Value],"count",'Table 2'[COUNT])
Output result:
Best Regards
Lucien
Hi,
For the row of Mary, if there were 3 C's and 3 F's, then what result would you expect?
Hello Ashish, Thank you for your message. In that scenario, I would only be interested on the latest dates unchanged status. Say:
NAME W1 W2 W3 W4 W5 W6
MAR C C A A F F
GOAL IS
NAME STATUS COUNT
MARY F 2
I hope this makes sense. My data in the back end is the typical: Name, Date, Status Columns.
Then in the dashboard I just created a matrix table so that I could place Date as columns then count the number of status.
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