Forum Discussion
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:
6 Replies
- mahoneypat
Microsoft 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 ( cumulativevalue, totalvalue )
I made a simple table to test it out below.Pat- greggbbFrequent 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 Risk Vulnerability ScoreCol Score Measure Business Risk Cumulative Overall Total Cumulative Risk Pct Customer Order Submission failure Denial of Service/Network failure 10 10 12% 2174 12% PII Disclosure Social Engineering/Phishing 16 16 13% 2174 13% Order fulfilment stoppage Ransomware/Malware 15 15 17% 2174 8% Order Processing stoppage Ransomware/Malware 15 15 17% 2174 17% 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
Community 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) / allProductsReferencing: 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,
WinnizIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.