I have the dataset:
I've checked the occurrence of each id and if it was the first occurrence per the id, I assigned the value 0, otherwise 1.
If I create a pivot table and sum of occurrence, I will get :
So, my final desired outcome is:
I can achieve it with the countrows and sum of countrows as a calculated column but it is static and as soon as I start using the date filter, the formula doesn't work. Is there a way to achieve it with a measure?
Create these below 2 Measures-
Note: Considered ordering using column ticket_id
occ =
VAR current_ticket_id = MIN(your_table_name[ticket_id])
VAR current_id = MIN(your_table_name[id])
VAR count_id =
CALCULATE(
COUNTROWS(your_table_name),
FILTER(
ALL(your_table_name),
your_table_name[id] = current_id
&& your_table_name[ticket_id] <= current_ticket_id
)
)
RETURN
IF(
count_id = 1,
0,
1
)
sum of occ =
CALCULATE(
COUNTROWS(your_table_name),
FILTER(
ALLEXCEPT(your_table_name,your_table_name[id]),
[occ] = 1
)
) + 0
Here is the output-
Related
I am looking for a DAX measure to solve the following problem:
Count the number of rows in the dimension table where the Fact table either has no rows or the score is 0.
Table A (Dimension Table)
ID
name
1
a
2
b
3
c
Table B (Fact Table)
ID
score
1
0
1
1
1
2
2
5
Expected Result
In this example, I would expect 2, as ID=1 has one row with score=0 and ID=3 as no corresponding row in the Fact Table.
I came up with this measure which gives me the number of rows that have no corresponding row in the fact table, but I am not able to integrate the first condition:
CALCULATE(COUNTROWS('Dimension'), FILTER ('Dimension', ISBLANK ( CALCULATE ( COUNT ('Fact'[id]) ) )))
Probably much more straightforward methods, but try this measure for now:
MyMeasure =
VAR MyTable =
ADDCOLUMNS(
Table_A,
"Not in Table_B", NOT (
Table_A[ID]
IN DISTINCT( Table_B[ID] )
),
"Zero Score in Table_B",
CALCULATE(
COUNTROWS( Table_B ),
Table_B[score] = 0
) > 0
)
RETURN
SUMX(
MyTable,
[Not in Table_B] + [Zero Score in Table_B]
)
You can also try this
CountID =
VAR ScoreZero =
COUNTROWS ( FILTER ( TableB, [score] = 0 ) )
VAR NonExistentIDs =
COUNTROWS ( EXCEPT ( DISTINCT ( TableA[ID] ), DISTINCT ( TableB[ID] ) ) )
RETURN
ScoreZero + NonExistentIDs
This also works, not sure it's a good idea to nest CALCULATE:
CALCULATE(COUNTROWS('Table_A'), FILTER ('Table_A', ISBLANK ( CALCULATE ( COUNT ('Table_B '[id]) ) ) || CALCULATE(COUNTAX(Filter('Table_B ','Table_B '[score]=0),'Table_B '[id])>=1)))
Question
What is an efficient way to create a calculated column finding the last value of my DATE column, using the ModifiedOn column, per ID? I don't want the MAX date, just the last record (even if the last record is the minimum). Also, my table is a calculated column.
Example Table
ID
DATE
ModifiedOn
A
2/4/2020
1/16/2019
A
2/5/2020
1/17/2019
B
3/2/2020
2/7/2020
B
3/3/2020
2/8/2020
B
3/1/2020
2/9/2020
Current Formula
LastRecord =
VAR Max_Date =
CALCULATE (
MAX ( 'Table1'[ModifiedOn] ),
ALLEXCEPT ( 'Table1', 'Table1'[ID] )
)
RETURN
IF (
Table1[ModifiedOn] = Max_Date,
Table1[DATE]
)
Current Results
But using the formula I get a calculated column that looks like this:
I keep getting blanks where they should be filled with the LAST recorded date of that ID.
Use the following dax formula to create the expected column:
Column =
VAR __id = 'Table'[ID]
VAR __lastMod =
CALCULATE(
MAX( 'Table'[ModifiedOn] ),
FILTER( 'Table', 'Table'[ID] = __id )
)
VAR __lastDate =
CALCULATE(
MAX( 'Table'[Date] ),
FILTER( 'Table', 'Table'[ID] = __id && 'Table'[ModifiedOn] = __lastMod )
)
Return __lastDate
I have several dataset tables in PowerBI report. The column country comes from TABLE1 while the column name comes from TABLE2.
So firstly I want to calculate min_number based on country and name, and then if min_number = number, the min will be 1; otherwise, 0. So the result table looks like:
This is my code for min
min =
VAR min_number =
CALCULATE (
MIN ( [number] ),
ALLEXCEPT ( TABLE1, TABLE1[country] ), ALLEXCEPT (TABLE2, TABLE2[name])
)
RETURN
IF ( [number] = Min_number,1, 0 )
I got an error: the MIN function only accepts a column reference as the argument number 1. Does it mean if it has to be one condition? how to fix it? Thank you
I would solve it by just making two separate measures, since we want to see the both results in the final table anyway.
First the min_number calculation:
min_number = CALCULATE(MIN('Table'[number]);ALLEXCEPT('Table';'Table'[country];'Table'[name]))
And the min measure:
min = IF(MAX('Table'[number]) = [min_number];1;0)
As we are using a measure, we can use MAX, so it will know what number to reference in the IF. It will still use the MAX number per row, so results are correct.
You can try with this below measure-
min =
VAR current_row_country = MIN(table1[country])
VAR current_row_name = MIN(table1[name])
VAR current_row_number = MIN(table1[number])
VAR min_number =
CALCULATE (
MIN (table1[number]),
FILTER(
ALL(table1),
table1[country] = current_row_country
&& table1[name] = current_row_name
)
)
RETURN IF (min_number = current_row_number,1, 0 )
I have a Measure which calculates a cumulative total:
CumulativeCount:=
VAR date1 = MAX( DimDate[Date] )
VAR date2 = MAX( FactTable[EndDate] )
RETURN
CALCULATE (
SUM( FactTable[Count] ),
DimDate[Date] <= date1,
DimDate[Date] <= date2,
ALL( DimDate[Date] )
)
And another, actually used in the Pivot Table, which, when it's calculating the Grand Total, is supposed to add up the cumulative totals for each date:
CumulativeCountForPivot:=
IF (
-- If calculating for one group
COUNTROWS( VALUES( FactTable[Group] ) ) = 1,
-- Do core logic
[CumulativeCount],
-- Else add up the results from each group
SUMX(
VALUES( FactTable[Group] ),
[CumulativeCount]
)
)
I don't understand why the Grand Total in the final column is 12, not 6.
The reason is that the grand total is for GroupA and GroupB combined and there is a cumulative count of 12 on that date (6 for each group).
On 06/01/2017 there are no records for GroupA so the [CumulativeCount] measure is returning a blank, even though there are records before that date and the count would be 6. If you added a record for GroupA with a Count of 0 on 06/01/2017, then you would see 6 appear.
If you want a measure that only shows 6 on that date, then try something like this:
CountForPivot =
VAR TempTable = SUMMARIZE(FactTable,
FactTable[Group],
FactTable[EndDate],
"Cumulative",
CALCULATE(SUM(FactTable[Count]),
FILTER(ALLEXCEPT(FactTable, FactTable[Group]),
FactTable[EndDate] <= MAX(FactTable[EndDate])
)
)
)
RETURN SUMX(TempTable, [Cumulative])
How to use if else for DAX in the measure. If row value =1 then take the var a calculated value else take the var b calculated value
x:=var a=[DATA1]
var b=[DATA2]
return(if([HOUR]=1),a,b)
I get error using above formula
It seems your problem is that you are not aggregating the columns while creating the measure. Measures only works aggregating data in a given context, generally if you want to perform calculations per row you should use a calculated column instead of a measure.
And the DAX expression for a calculated column should be:
MyColumn = IF([HOUR] = 1, [DATA1], [DATA2])
Otherwise if you want to use a measure you have to explicitely aggregate the column values in the given context, i.e:
MyMeasure =
VAR a =
FIRSTNONBLANK ( ExampleTable[Data1], 0 )
VAR b =
FIRSTNONBLANK ( ExampleTable[Data2], 0 )
RETURN
IF ( SUM ( ExampleTable[Hour] ) = 1, a, b )
Or simply:
MyMeasure =
IF (
SUM ( [Hour] ) = 1,
FIRSTNONBLANK ( ExampleTable[Data1], 0 ),
FIRSTNONBLANK ( ExampleTable[Data2], 0 )
)
Let me know if this helps.