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Frequent Visitor

## Top 80% Engagement

Hi guys,

I have a table with Item ID and Engagement. Now i would like to create another table that shows which items that make up 80% of total engagements, also these items should desc by engagement.

The original table:

What i want to create:

ps: 220*80%=176. From the table, item C, D, A ,79+60+46=185>176, but 79+60=139 less than 80 percent.

Regards

Jesse

1 ACCEPTED SOLUTION

Accepted Solutions
Highlighted
Super User I

ive never done this before but maybe this will work

@qjc171819

engagementmeasure = sum(engagment)

incrementalengagement =
VAR CurrentEngagement = Table[engagementmeasure]
RETURN
SUMX (
FILTER ( table, table[engagementmeasure] >= incrementalengagement ),
table[enagementmeasure]
)

Table[IncrementPCT] =

DIVIDE (table[incrementalengagement],

sum (engagementmeasure))

then based on that result theoretically you can create a table where the Table[IncrementPCT] <= 0.8

Proud to be a Super User!

10 REPLIES 10
Highlighted
Super User I

ive never done this before but maybe this will work

@qjc171819

engagementmeasure = sum(engagment)

incrementalengagement =
VAR CurrentEngagement = Table[engagementmeasure]
RETURN
SUMX (
FILTER ( table, table[engagementmeasure] >= incrementalengagement ),
table[enagementmeasure]
)

Table[IncrementPCT] =

DIVIDE (table[incrementalengagement],

sum (engagementmeasure))

then based on that result theoretically you can create a table where the Table[IncrementPCT] <= 0.8

Proud to be a Super User!

Highlighted
Frequent Visitor

You must be a genius.

Thanks for great help.

@vanessafvg

Highlighted
Frequent Visitor

Hello,

But with this approaching, you have less than 80 %. If I want to cover that 80 %, what should I do? Without manually change the 80 % for the value of the next Item.

I need to know the clients that are the 80 %, but it must be at least 80 %, If I set less or equal than 80 %, this approaching will only be correct when the clients do exactly 80 %, but if they do 81 %, it will take earlier item (maybe 78 %).

Any suggestion?

Regards!

Highlighted
Super User III

Hi,

Regards,
Ashish Mathur
http://www.ashishmathur.com
Highlighted
Frequent Visitor

What I needed was the number of the clients, in your example the measure would be "3".

So I get the approach with this:

I have a CalculateTable that summarizes the clients' name by month (that is why I use CALCULATETABEL and ALLEXCEPT with the calendar table in my measures) and also ranked them by volume.

So in this table I created a cummulative measure and total volume (no matter what filter apllies, only filters from the calendar table).

```Cumulative Volume_RMX = CALCULATE(SUM(Rank_clientes_RMX[Volumen]),
FILTER(
CALCULATETABLE(Rank_clientes_RMX,ALLEXCEPT(Rank_clientes_RMX, Calendario, Rank_clientes_RMX[Calendar YearMonth])),
Rank_clientes_RMX[Rank]<=MAX(Rank_clientes_RMX[Rank])
)
)```

`volume_all_month_RMX = CALCULATE(SUM(Rank_clientes_RMX[Volumen]),ALLEXCEPT(Rank_clientes_RMX,Calendario,Rank_clientes_RMX[Calendar YearMonth]))`

Then I created the final measure

```Clientes 80 % vol. = CALCULATE(COUNTROWS(Rank_clientes_RMX),
ALLEXCEPT(Rank_clientes_RMX, Calendario, Rank_clientes_RMX[Calendar YearMonth]),
FILTER(
CALCULATETABLE(Rank_clientes_RMX, ALLEXCEPT(Rank_clientes_RMX, Calendario, Rank_clientes_RMX[Calendar YearMonth])),
[Cumulative Volume_RMX]<[volume_all_month_RMX]*0.8
)
)+1```

The final measure, get the number of clients that makes less than 80 % of the total volume + 1.

I hope it helps someone.

Regards,

Giovany

Highlighted
Helper IV

Hello @Ashish_Mathur,

the solution you provided fits to my problem. But I need to include a time filter as well.

I reconstructed your solution. The Ranking works. But the cumulative total doesn´t work.

`Kumulativer Umsatz = SUMX(TOPN([Pos. Debitoren];CALCULATETABLE(VALUES(Kalender[Datum]);ALL(Kalender[Datum]));[Absoluter Umsatz]);[Absoluter Umsatz])`

Pos. Debitoren = Rank

Kalender[Datum] = Date

[Absoluter Umsatz) = Total

Do you have an idea to solve my problem ?

Christian

Highlighted
Super User III

Hi,

Share a dataset and show the expected result.

Regards,
Ashish Mathur
http://www.ashishmathur.com
Highlighted
Helper IV

Hi,

Your solution works perfectly. I added the wrong columns to the mesure. So it was just my fault.

Sorry for that

Christian

Highlighted
Helper IV

Hi,

Your solution works perfectly. I added the wrong columns to the mesure. So it was just my fault.

Sorry for that

Christian

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