Checking for different values in duplicates

[Anonymous]

Good day all,

I have a table in Power Bi that looks similar to this:

What I need to get is a column called Age_Check that would output 1 if for every group of records with the same name where there is a difference in age. 

Bassicaly, Age_Check should output 0 for all records that do not have a Name repeating (i.e Name_Count is 1) and only process those records that have duplicate names (i.e Name_Count >1). For those duplicates that have different value for Age, the Age_Check should be equal to 1.

[amitchandak]

@Anonymous , create a new column like

new column = if(countx(filter(Table,table[Name] = earlier(Table[Name])),Table[Name])>1,1,0)

[Anonymous]

@amitchandak Please could you input the column names I used in my Example data.

[amitchandak]

@Anonymous , You have used a name, I used the same

Age_check = if(countx(filter(Table,table[Name] = earlier(Table[Name])),Table[Name])>1,1,0)

or we can use ID

Age_check = if(countx(filter(Table,table[ID] = earlier(Table[ID])),Table[ID])>1,1,0)

[Anonymous]

@amitchandak Thank you for the solution, but it does not address the Age factor. I have tested it and what your solution does is to mark all records with duplicate Name as 1. However I need it to check if Age is the same for all cases where Name is duplicated. As I explained, if Name is duplicated it should check all instaces of age and if there is a difference in the age then it should record 1 for all the affected records. 

[amitchandak · Accepted solution]

@Anonymous , Seem like missed age logic, Try this

Age_check =
var _1 = countx(filter(Table,table[Name] = earlier(Table[Name])),Table[Name])
var _2 = countx(filter(Table,table[Name] = earlier(Table[Name]) && table[Age] = earlier(Table[age])),Table[Name])
return
if(_1 >1 && _1<> _2 ,1,0)

[Anonymous]

This worked! Appreciate the support