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greggbb's avatar
greggbb
Frequent Visitor
5 years ago

Pareto with duplicate values

I'm trying to show a Pareto chart but I have serveral duplicated values; this results in a jagged step function, as PBI is rolling up the multiple occurances as one. For example:

 

 

 

Any ideas to show this properly?  For example instead of 9%, 25%, 25% this should show 9%, 17%, 25%. 

 

My cumulative percent function is just rolling up the Score by Business Risk:

Business Risk Cumulative =
var thisProduct=[Score Measure]
var allProducts=calculate([Score Measure],all(JoinMatrix[Business Risk]))
return
calculate([Score Measure],filter(all(JoinMatrix[Business Risk]),[Score Measure]>=thisProduct))/allProducts

6 Replies

  • mahoneypat's avatar
    mahoneypat
    Icon for Microsoft Employee rankMicrosoft Employee

    This one can be done with a two column rank using a pattern like this. 

     

    First make a calculated column to get a rank based on the Risk category with an expression like this.  It will give you rank your categories alphabetically.

     

    ForRiskRank = var thisvalue = Risk[Risk] return RANKX(Risk, Risk[Risk], thisvalue,DESC)
     
    Then create a measure like this (replace Risk with your actual table name, and correct column/measure references).  The alphabetical rank is divided by 1000 so that result can't affect the overall ranking based on risk.  Adapt as needed.
     
    Cumulative Risk Pct =
    VAR thisvalue =
        MIN ( Risk[Value] )
    VAR thisriskrank =
        MIN ( Risk[ForRiskRank] ) / 1000
    VAR summary =
        ADDCOLUMNS (
            ALLSELECTED ( Risk[Risk] ),
            "cValue"CALCULATE ( MIN ( Risk[Value] ) ),
            "cRanked",
                CALCULATE ( SUMX ( Risk, Risk[Value] + Risk[ForRiskRank] / 1000 ) )
        )
    VAR totalvalue =
        SUMX ( summary, [cValue] )
    VAR cumulativevalue =
        SUMX ( FILTER ( summary, [cRanked] >= thisvalue + thisriskrank ), [cValue] )
    RETURN
        DIVIDE ( cumulativevaluetotalvalue )
     
     
    I made a simple table to test it out below.
     

     

     
    Pat
     
    • greggbb's avatar
      greggbb
      Frequent Visitor

      Thanks Pat, but it's returning 100% across the board.  I realized that I didn't mention that the dataset is one level below "Business Risk" with a subcategory called "Vulnerabily" so I wonder if this is part of the issue, i.e. my raw data looks like this:

       

      Business RiskVulnerabilityScoreColScore MeasureBusiness Risk CumulativeOverall TotalCumulative Risk Pct
      Customer Order Submission failureDenial of Service/Network failure101012%217412%
      PII DisclosureSocial Engineering/Phishing161613%217413%
      Order fulfilment stoppageRansomware/Malware151517%21748%
      Order Processing stoppageRansomware/Malware151517%217417%

       

      Interestingly in my chart I'm getting 100% when I look at Business Risk alone (it's the dark blue line, the light blue is my original metric):

      However if I filter on any aspect of Vulnerability your metric works perfectly!  Is there something I can adjust so it will work at both levels?

       

      Thanks,

      Gregg

      • v-kkf-msft's avatar
        v-kkf-msft
        Icon for Community Support rankCommunity Support

        Hi greggbb ,

         

        Try the following formula:

         

         

        Order = 
        VAR RoundedSales = [Score Measure]
        RETURN IF (
            HASONEVALUE ( JoinMatrix[Business Risk] ) && ( RoundedSales > 0 ),
            VAR CustomersWithRankedName =
                ADDCOLUMNS (
                    ALLSELECTED ( JoinMatrix ),
                    "@NameRanked", RANKX ( ALLSELECTED ( JoinMatrix ), JoinMatrix[Business Risk],, DESC, DENSE )
                )
            VAR MaxCustomerNameRanked =
                MAXX ( CustomersWithRankedName, [@NameRanked] )
            VAR LookupTable =
                ADDCOLUMNS (
                    CustomersWithRankedName,
                    "@CustomerSales",
                        [Score Measure] * MaxCustomerNameRanked + [@NameRanked]
                )
            VAR CurrentName =
                SELECTEDVALUE ( JoinMatrix[Business Risk] )
            VAR CurrentNameRanked =
                RANKX ( ALLSELECTED ( JoinMatrix ), JoinMatrix[Business Risk], CurrentName, DESC, DENSE )
            VAR CurrentValue = RoundedSales * MaxCustomerNameRanked + CurrentNameRanked
            VAR Ranking =
                RANKX ( LookupTable, [@CustomerSales], CurrentValue,, DENSE )
            RETURN
                Ranking
        )
        Business Risk Cumulative = 
        var thisProduct = [Score Measure]
        var allProducts = calculate( [Score Measure], all(JoinMatrix[Business Risk] ) )
        var maxCurrentRank = [Order]
        var rankTable = FILTER( ALLSELECTED(JoinMatrix[Business Risk]), [Order] <= maxCurrentRank)
        return CALCULATE([Score Measure], rankTable) / allProducts

         

         

        Referencing: https://www.sqlbi.com/articles/rankx-on-multiple-columns-with-dax-and-power-bi/ 

         

         

        If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.

        Best Regards,
        Winniz

        If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.