Conditional Formatting Duplicate Records in Rows

[Anonymous]

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.

[Anonymous]

@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?

[Gordonlilj · Accepted solution]

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

[Ramnath]

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?

[Anonymous]

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.

[Gordonlilj]

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
))

[Anonymous]

That worked to get rid of the conference room computer but I also need it to remove the formatting from the other computer that the person is logged into. In other words, even though the conference room computer is no longer highlighted, the other computer that the user is logged into is still highlighted in red.

[Anonymous]

Would this be a simple command to add?

[Gordonlilj]

It probably would be simple but could you provide some more sample data? So i could understand the issue better and provide a correct solution

[Anonymous]

Thank you so much! That worked perfectly