Given this table bellow:
In Excel, when I insert a pivot table, the column 'id' has being calculated to a total sum
Clearly, it is not needed
Any thoughts of how can I remove the aggregation from this column alone and keep the same current appearance of the table ( same but without caculating id_1+id2...+idn)
Create this measure:
MyID :=
VAR ThisName =
MIN( Table1[Name] )
RETURN
IF(
HASONEVALUE( Table1[Name] ),
CALCULATE( MIN( Table1[ID] ), Table1[Name] = ThisName ),
BLANK()
)
amending table/column names where required.
You can then drag this measure into the Pivot Table Values area.
Related
I have a table of Name, date (every day of the year), and hours. I am trying to create a pivot table to analyze the compliance of the data. By that I mean, I need to know for every year how many people are complainant with the 1800 limit (sum of all hours for the year) and how many are not.
i created the required results via 4 tables see image but because i am using so many table, i am unable to do any drilldown/drill up analyzes. Is there a way to combine all of this in one table?
Add your Pivot Table to the Data Model and then create three new measures:
CompliantCheck :=
IF (
ISFILTERED ( Table1[Name] ),
IF ( SUM ( Table1[Hours] ) > 1800, "Non-Compliant", "Compliant" ),
""
)
CompliantCount :=
IF (
[CompliantCheck] = "",
"",
0
+ CALCULATE (
DISTINCTCOUNT ( [Name] ),
FILTER ( ALL ( Table1[Name] ), [CompliantCheck] = "Compliant" )
)
)
NonCompliantCount :=
IF (
[CompliantCheck] = "",
"",
0
+ CALCULATE (
DISTINCTCOUNT ( [Name] ),
FILTER ( ALL ( Table1[Name] ), [CompliantCheck] = "Non-Compliant" )
)
)
Obviously change the names of the table and fields in the above if necessary. Your Pivot Table should then comprise:
Rows: Name and Fiscal Year
Values: Sum of Hours, Compliant Check, CompliantCount, NonCompliantCount
I am struggling with a "simple" function that is killing me. I am simply trying to get the subtotal of each group in a pivot table. I d like to compute the percentage of each subgroup as my input data are wrong. It seems I cannot do the classic EARLIER, and there is no this or current or whatever...
CALCULATE (
SUM ( table1[numbers] ),
FILTER (
ALL ( table1 ),
table1[Names] = FIRSTNONBLANK ( ALL ( table1[Names] ), tables[Names] )
)
)
Thanks
Found it! Absolutely counterintuitive to me, but it works...
=CALCULATE (
SUM ( table1[numbers] ),
ALLEXCEPT ( table1, table1[Names])
)
I'm trying to create a measure that re-calculates the rank in the power pivot table everytime the user deselects a value or changes the group by row labels. For example, per table below, there are 3 companies rates per quote id with their respective rank in each quote.
Is there a measure that can recalulcate the rank of each company's rate per quote id if the user deselects company B so that power pivot table would look like this:
Also, can the same measure also recalculate the rank by averaging the rank of each quote id if the user removed quote id from the row labels for the power pivot table so that power pivot table would look like this:
Any help appreciated.
Ranking =
IF (
ISFILTERED ( Quotes[Quote] ),
RANKX ( FILTER ( ALLSELECTED ( Quotes[Company] ), [Rate Total] ), [Rate Total],, ASC ),
AVERAGEX (
VALUES ( Quotes[Quote] ),
RANKX ( FILTER ( ALLSELECTED ( Quotes[Company] ), [Rate Total] ), [Rate Total],, ASC )
)
)
How I can find percentage out of subtotals with multiple columns in Pivot table.
PercentYes :=
CALCULATE ( SUM ( MyTable[value] ), MyTable[answers] = "yes" ) /
CALCULATE (
SUM ( MyTable[value] ),
ALL ( MyTable[subcategory], MyTable[answers] )
)
I created a sample of values
I would first create a sum measure:
Sum of Values:=SUM(MyTable[Value])
Then, I would create the percentage measure:
Percent of Values :=
DIVIDE (
[Sum of Values],
CALCULATE (
[Sum of Values],
ALL ( MyTable[Subcategory],MyTable[Answers] )
)
)
Using DIVIDE will help with error trapping zeroes in the denominator. The result looks like this:
I am new to DAX and have created two measures to get the total pay per employee then lookup that total pay into a table and return a value in my Power Pivot.
Total Pay Measure:
NMRPaySum:=SUMX(Pay,[Regular Pay]+[Overtime Pay]+[Other Pay])
Range Lookup Measure:
SSSContributionEE :=
CALCULATE (
VALUES ( SSSContribution[EE] ),
FILTER (
SSSContribution,
[NMRPaySum] >= SSSContribution[Lower Bound] &&
[NMRPaySum] <= SSSContribution[Upper Bound]
)
)
However, I need the range lookup to only calculate if the employee type is satisfied.
The logic for it is below:
If Employee[Type]="Regular" Then
Calculate SSSConbtributionEE
Else
0
End If
I have tried this DAX formula, but doesn't seem to be working:
=
IF (
OR ( Salary[Type] = "Regular", Salary[Type] = "Agency" ),
CALCULATE (
VALUES ( SSSContribution[EE] ),
FILTER (
SSSContribution,
[NMRPaySum] >= SSSContribution[Lower Bound] &&
[NMRPaySum] <= SSSContribution[Upper Bound]
)
),
0
)
NMRPay Table:
SSS Contribution Table:
Employee Information Table:
Use your measure as is, for all the data. You then build a Pivot table, where you can use a filter or slicers on Employee Type to exclude unwanted values. Add the measure to the Values area and it will only calculate for data that is in the rows and columns of the pivot table.
For the OR condition, you should be able to add that as another filter:
= CALCULATE (
VALUES ( SSSContribution[EE] ),
FILTER (
SSSContribution,
[NMRPaySum] >= SSSContribution[Lower Bound] &&
[NMRPaySum] <= SSSContribution[Upper Bound]
),
FILTER (Salary, Salary[Type] = "Regular" || SalaryType = "Agency")
)
This may or may not work depending on your exact data model / relationship structure, but it might point you in the right direction. It's possible you need to use RELATED / RELATEDTABLE, but I'm not sure without being able to play with it myself.