Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi,
I have a table which has 4 columns
| Title | Potential | Frequency | Nearly |
| Example 1 | 4 | 1 | 0 |
| Example 2 | 2 | 0 | 0 |
| Example 3 | 4 | 1 | 1 |
| Example 4 | 1 | 0 | 0 |
| etc.... | etc.... | etc.... | etc.... |
I want to be able to highlight any rows that have Potential = 4 as Yellow and if Frequency or Nearly = 1 then highlight Red.
I am getting stuck in creating a measure to do this, so that I can then use this measure as the rule in conditional formatting.
Any help is much appreciated.
Solved! Go to Solution.
@leerjones85
Not sure if I I fully understand your question, try this and let me know:
CF =
VAR __Case1 = CALCULATE( SUM(Table01[Value]) , Table01[Col] = "Potential") = 4
VAR __Case2 = CALCULATE( SUM(Table01[Value]) , Table01[Col] = "Frequency" ) = 1
VAR __Case3 = CALCULATE( SUM(Table01[Value]) , Table01[Col] ="Nearly" ) = 1
VAR __Result =
SWITCH(
TRUE(),
__Case1, "yellow",
OR(__Case2, __Case3 ) , "red"
)
RETURN
__Result
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@leerjones85
Not sure if I I fully understand your question, try this and let me know:
CF =
VAR __Case1 = CALCULATE( SUM(Table01[Value]) , Table01[Col] = "Potential") = 4
VAR __Case2 = CALCULATE( SUM(Table01[Value]) , Table01[Col] = "Frequency" ) = 1
VAR __Case3 = CALCULATE( SUM(Table01[Value]) , Table01[Col] ="Nearly" ) = 1
VAR __Result =
SWITCH(
TRUE(),
__Case1, "yellow",
OR(__Case2, __Case3 ) , "red"
)
RETURN
__Result
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Thank You, this worked.
Hi @leerjones85
You can achieve this by using conditional formating in cell elements option. Just select the series name from drowdown and set rules for backgroud color. See image:
Hope this helps!!
If this solved your problem, please accept it as a solution and a kudos!!
Best Regards,
Shahariar Hafiz
| User | Count |
|---|---|
| 52 | |
| 35 | |
| 22 | |
| 17 | |
| 17 |
| User | Count |
|---|---|
| 69 | |
| 58 | |
| 39 | |
| 21 | |
| 21 |