Forum Discussion
Conditional Formatting Duplicate Records in Rows
I've been researching this for hours and I've given up. What I need is simple. I just need to apply conditional formatting to any records that match a record in another row. I'm sure this is simple but I'm new to Power BI so I could use some guidance.
Here's an example of what I want it to look like. This is a table that shows users logged into computers and how many hours they've been logged in. I'd like to highlight the current user if they are logged into more than one system.
Hi,
If i understand it correctly than this should work.
Create a calculated column
CountDistinct = VAR CountDistinct = Table[Current User] RETURN CALCULATE( COUNTROWS('Table'), ALL('Table'), Table[Current User] = CountDistinct )Replace the table and column with your own and in the conditional format on current use make it look like this
9 Replies
- GordonliljSolution Sage
Hi,
If i understand it correctly than this should work.
Create a calculated column
CountDistinct = VAR CountDistinct = Table[Current User] RETURN CALCULATE( COUNTROWS('Table'), ALL('Table'), Table[Current User] = CountDistinct )Replace the table and column with your own and in the conditional format on current use make it look like this
- AnonymousNot applicable
Thank you so much! That worked perfectly
- AnonymousNot applicable
Is there an easy way to ignore one particular computer from my table? There's a conference room computer so that's flagging as red but I want it to be ignored.
- GordonliljSolution Sage
Sure, all you would need to do is put the code inside an IF statement such as
CountDistinct = IF(Table1[System] ="Com5",1, VAR CountDistinct = Table1[Current User] RETURN CALCULATE( COUNTROWS('Table1'), ALL('Table1'), Table1[Current User] = CountDistinct ))
- RamnathFrequent Visitor
Hi, The given solution worked perfectly for me as well. Thanks for that. I am looking for a slight variant, if possible. Is it possible not to highlight only the first record?
- AnonymousNot applicable
Gordonlilj This will not work if there are more than 2 duplicates. How can I achieve this when I have more than 2 duplicates in data?