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Anonymous
Not applicable

Conditional Formatting in Matrix Visual

I have a matrix visual showing data of 4 months. Computers name in row field, dates of 4 months in Column field and CPU average of every computer in Value field. I want to change background colour of highest CPU average for every month . How can I achieve this in Power BI ?

 

Matrix.PNG

1 ACCEPTED SOLUTION

Hi @Anonymous , 

Thanks for sharing the dataset again. Using the dataset, the output is coming for FEB month as below : 

ankita_mishra_9_3-1720443910960.png

For March: 

ankita_mishra_9_4-1720444005343.png

 

Please follow the steps given below to get the above output : 

  • Please create a month column if it is not already present in the dataset :
  • Create below 2 measures (Max_CPU_Average and ConditionalFormatting1) and follow the steps given in previous reply to use the ConditionalFormatting1 measure to get the background color
    ankita_mishra_9_2-1720443805264.png

     


    ankita_mishra_9_1-1720443717953.png

     

    If this resolves your problem, please select it as the solution

 

Thanks,

Ankita

View solution in original post

8 REPLIES 8
AnkitaaMishra
Super User
Super User

Hi @Anonymous , 
If your expected output is as shown below where the max value is highlighted in the matrix : 

ankita_mishra_9_0-1720434353295.png
Then please follow below steps : 
 

  • create a measure with below DAX where Sheet1[Value] is your average of CPU column : 
    ankita_mishra_9_1-1720434528595.png
  • go to format your visual ---> under Cell Elements ---> choose your series -->bacground color---> click on 'fx' function 
    ankita_mishra_9_3-1720434843824.png
  • use the conditionalformatting measure created in step 1 as shown below : 
    ankita_mishra_9_4-1720434929976.png


    If this resolves your issue, please select the reply as your solution.

 


 

 

Anonymous
Not applicable

Hi , 

I have followed the same steps but still it's not working.

Hi @Anonymous , 

Thanks for sharing the dataset again. Using the dataset, the output is coming for FEB month as below : 

ankita_mishra_9_3-1720443910960.png

For March: 

ankita_mishra_9_4-1720444005343.png

 

Please follow the steps given below to get the above output : 

  • Please create a month column if it is not already present in the dataset :
  • Create below 2 measures (Max_CPU_Average and ConditionalFormatting1) and follow the steps given in previous reply to use the ConditionalFormatting1 measure to get the background color
    ankita_mishra_9_2-1720443805264.png

     


    ankita_mishra_9_1-1720443717953.png

     

    If this resolves your problem, please select it as the solution

 

Thanks,

Ankita

Could you please share the error or DAX that you have implemented?

Anonymous
Not applicable

Please find the below DAX which we created based on your reference:

Note: CPU AVG is a table name , CPU Avg is a column name

 

Conditional Formating =
Var Highest = CALCULATE(MAX('CPU AVG'[CPU Avg]),ALLSELECTED('CPU AVG'))
Var measurecolumn = SELECTEDVALUE('CPU AVG'[CPU Avg])
RETURN
IF(measurecolumn=Highest,"#EE0B51","FFFFFF")
foodd
Super User
Super User

Hello @Anonymous , and thank you for sharing a question with the Community.  The following is informational.  Please remember to adhere to the decorum of the Community Forum when asking a question.

Please provide your work-in-progress Power BI Desktop file (with sensitive information removed) that covers your issue or question completely in a usable format (not as a screenshot). You can upload the PBIX file to a cloud storage service such as OneDrive, Google Drive, Dropbox, or to a Github repository, and then share a file’s URL.

https://community.fabric.microsoft.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-Forum/ba-p/963216

Please show the expected outcome based on the sample data you provided.

https://community.fabric.microsoft.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447523/highlight/true#M607150

This allows members of the Forum to assess the state of the model, report layer, relationships, and any DAX applied.

Anonymous
Not applicable

Hi,

As requested due to some restriction i'm unable to upload excel file however i have attached the dataset in this message body.

 

Row Labels01-Feb02-Feb03-Feb04-Feb05-Feb06-Feb07-Feb08-Feb09-Feb10-Feb11-Feb12-Feb13-Feb14-Feb15-Feb16-Feb17-Feb18-Feb19-Feb20-Feb21-Feb22-Feb23-Feb24-Feb25-Feb26-Feb27-Feb28-Feb29-Feb
ABC3.2457762.931062.9481092.9066012.9948023.088093.0524783.0331933.0204422.9603063.0227922.9958763.0469063.1204453.0575522.9952273.0229752.9851783.0418123.1008193.24543.228643.4533133.3959113.4149933.2333463.3262813.2305413.209912
EFG7.0196716.9547426.8741466.9447716.9453596.9866656.9640156.838286.8528046.977126.9557086.920426.9816497.104237.0921117.0905957.7473397.3911846.6557846.6419576.7933726.6063656.7440896.837376.8597166.8429786.7879136.7820146.930302
HIG4.2150814.2056734.3528424.3034394.3387034.3693634.135544.1153884.0881867.4878787.14756.9169147.080977.1505087.0529567.0617697.9718218.3911336.8897377.0884277.3350727.4011377.5363867.759157.6962688.2339057.9532497.6666727.713544

 

Anonymous
Not applicable

Hi,

I am re-phrasing my problem area again.

I have a matrix visual showing data of 4 months. Computers name in row field, dates of 4 months in Column field and CPU average of every computer in Value field. I want to change background colour of highest value for every month and for every comupter name i.e; each row should have 4 values should get highligted and same could be applicable for all rows in the matrix. Kindly Help me with the resolution

 

Here i'm attaching the whole data set for better understanding

 

Row Labels01-Feb02-Feb03-Feb04-Feb05-Feb06-Feb07-Feb08-Feb09-Feb10-Feb11-Feb12-Feb13-Feb14-Feb15-Feb16-Feb17-Feb18-Feb19-Feb20-Feb21-Feb22-Feb23-Feb24-Feb25-Feb26-Feb27-Feb28-Feb29-Feb01-Mar02-Mar03-Mar04-Mar05-Mar06-Mar07-Mar08-Mar09-Mar10-Mar11-Mar12-Mar13-Mar14-Mar15-Mar16-Mar17-Mar18-Mar19-Mar20-Mar21-Mar22-Mar23-Mar24-Mar25-Mar26-Mar27-Mar28-Mar29-Mar30-Mar31-Mar01-Apr02-Apr03-Apr04-Apr05-Apr06-Apr07-Apr08-Apr09-Apr10-Apr11-Apr12-Apr13-Apr14-Apr15-Apr16-Apr17-Apr18-Apr19-Apr20-Apr21-Apr22-Apr23-Apr24-Apr25-Apr26-Apr27-Apr28-Apr29-Apr30-Apr01-May02-May03-May04-May05-May06-May07-May08-May09-May10-May11-May12-May13-May14-May15-May16-May17-May18-May19-May20-May21-May22-May23-May24-May25-May26-May27-May28-May29-May30-May31-May
ABC3.2457762.931062.9481092.9066012.9948023.088093.0524783.0331933.0204422.9603063.0227922.9958763.0469063.1204453.0575522.9952273.0229752.9851783.0418123.1008193.24543.228643.4533133.3959113.4149933.2333463.3262813.2305413.2099123.069393.0862763.2149923.3324293.5319874.380174.4545824.2037124.2276274.1716334.1642954.338944.1915724.2004474.1277754.1781994.2221384.332984.5129864.2832423.0613613.1137643.0658133.068663.7364583.016042.8199982.6290122.5734572.612352.7461122.8478282.9494042.9911713.0433213.026263.1531123.1222013.2593993.1601833.1875813.5984523.2461373.2664163.3364743.3048113.2308294.041983.8249733.1908453.0506272.9263642.9779293.0070473.0182912.9560352.8769662.9078452.8506542.9366492.9315532.918972.9364273.0217413.0105622.8494082.8209512.7401972.8018532.8708822.9043152.9236122.8562692.8293122.7337212.7369082.9496093.2510452.9026973.035282.9810832.9429722.8885512.8502212.9848663.0043552.8816542.9263322.9844513.0028784.0199964.093973
DEF7.0196716.9547426.8741466.9447716.9453596.9866656.9640156.838286.8528046.977126.9557086.920426.9816497.104237.0921117.0905957.7473397.3911846.6557846.6419576.7933726.6063656.7440896.837376.8597166.8429786.7879136.7820146.9303026.6417576.7184696.9479476.8463556.9725916.9093076.9642816.9104157.0035296.9831616.9743637.0434526.9392536.988316.910658.3500347.3822847.3007357.304397.7851137.3210047.3250019.4033497.2984257.4958327.865257.4876287.5288577.6573937.5101959.2862677.2252477.896227.8821577.8957367.7646317.8861437.9811457.8485937.8660197.8218037.8999747.858867.9103278.1322378.075128.0131018.0901567.9299457.8532428.9320729.254618.0818718.0337377.8237917.7269447.8785827.8306067.8784617.8808388.4123427.4433048.009617.9740678.2486118.0436258.0940248.0974098.010788.2287289.32739.000569.0366779.1540889.454818.7585098.7635288.6565968.380268.4371698.3892228.3989488.4458848.8544288.722048.5081438.6374868.7078398.5027168.4974728.6907149.198497
GHI4.2150814.2056734.3528424.3034394.3387034.3693634.135544.1153884.0881867.4878787.14756.9169147.080977.1505087.0529567.0617697.9718218.3911336.8897377.0884277.3350727.4011377.5363867.759157.6962688.2339057.9532497.6666727.7135447.4607957.5196067.6837157.5942927.9102697.9617737.9997847.8306657.9839328.1708648.4390538.3098348.2760488.4154858.4594598.5651667.0010956.8910047.2913397.8174137.1077177.1211677.1186487.2913547.4516927.5232317.5934397.4611747.5572487.5213868.830437.3097117.9985098.0775158.3493788.3738898.3371728.6121388.4611168.5902888.3355428.4608448.3998918.3461528.5026938.5690578.6094248.528668.4568078.531659.2393627.5877019.0412517.6794857.8296517.600957.7344137.6977427.5906757.6727298.1881527.9841018.0779378.1569738.1259227.8938858.0294768.1495727.9472398.1300459.1327599.0303059.0858748.9397949.2943678.4357598.7142468.8209958.902329.130379.214279.359149.459229.8012449.9560069.9399519.8553779.96189310.819999.62589710.2369110.11735
JKL6.9855126.7711796.4200136.5991746.9214346.6923046.6483546.6721066.837026.3750736.4511946.6972116.9116996.9402176.8509096.9329086.8691876.8655226.9267396.9552896.9922287.0207857.1002267.1386657.1857747.1168797.155797.0752337.0812236.5392436.3039096.6557666.8585076.8434066.766816.8821037.5034827.0900467.1532726.7058736.9865626.9320127.2439667.1302817.2107777.2789947.3882627.4187657.3420447.3793437.3930877.3332237.4404717.4485557.5238057.372667.3888477.5167597.342947.3925437.3701797.8261977.8018217.8988137.862418.1727817.7471367.9573147.8533877.7596887.8558327.8660729.0863227.6042697.4842977.6193217.6824139.2374877.6261257.6393797.612547.5519867.7350467.6491457.6053157.6898577.6454177.7760517.760027.765197.5638517.6718237.8313587.8508867.5461457.688577.7908667.6899477.9239018.9326068.7465568.8589918.7847378.6628968.5719298.8115238.7245418.8340738.7905758.8974978.749178.9993238.9065578.9890488.8460099.0521239.1450748.7560138.8506918.8017478.743147

 

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