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Hi. I have some measures that calculate wrong. I have tried with IF(HASONEVALUE also but it don´t work!!!
Dagsbehov =
Solved! Go to Solution.
Please try
Dagsbehov =
SUMX (
CROSSJOIN (
SUMMARIZE (
calc_bals,
calc_bals[Artikel],
calc_bals[HM-Number],
calc_bals[Forpackning_pakit]
),
VALUES ( 'Table'[Antal i Emb] )
),
CALCULATE (
AVERAGE ( calc_bals[consump_day] ),
FILTER ( calc_bals, calc_bals[consump_day] > 0 )
)
)
In the Dagsbehov, Byte/dag and Antal byte / tim columns shows the wrong totals. I want to get the the total of each column.
@Bergh
What are you slicing by in this table? Do you want the total to sum the visible values?
slicing? Yes I want the total sum
@Bergh
I mean which column(s) is/are placed in the table visual? Unsummarized columns not measures.
The "Dagsbehov" column contains a value how many should be manufactured per day. The problem is that we look 18 days ahead, but some days contain 0. Then I have made this calculation avg_cons =CALCULATE(AVERAGE(calc_bals[consump_day]),FILTER(calc_bals,calc_bals[consump_day]>0)) to avoid including days with 0.
The "Antal i Emb" column contains a value per pallet that is not calculated.
Then I take these two and divide by each other to get the number of pallet changes.
@Bergh
My question was not about the columns involved in the calculations. My question is about the visual itself. The filter contextr of the visual. Which column(s) create(s) the filter context of the visual? Pallet Number or SKU or something else Like customer or city or a combination of columns? And from which tables in case different tables.
Sorry, I don't understand.
Just partnumber, and there is diffrent tables. Artikel and Dagsbehov is from one, Antal i Emb is from another, the rest is measure
Please try
Dagsbehov =
SUMX (
CROSSJOIN (
SUMMARIZE (
calc_bals,
calc_bals[Artikel],
calc_bals[HM-Number],
calc_bals[Forpackning_pakit]
),
VALUES ( 'Table'[Antal i Emb] )
),
CALCULATE (
AVERAGE ( calc_bals[consump_day] ),
FILTER ( calc_bals, calc_bals[consump_day] > 0 )
)
)
Thanks it works perfectly
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