I have a Table where an ID can occur over multiple dates due to having different states.
ID
State
DATE
A
a
2022-01-01
A
b
2022-01-02
A
c
2022-01-03
B
d
2022-01-01
B
e
2022-01-02
C
f
2022-01-03
I would like to create ONE measure to distinct count the IDs.
This measure is needed for KPI cards, Line Charts and table visuals.
This is easily done with:
Count = DISTINCTCOUNT('Table'[ID])
Displaying this measure in a table visual split by Date.
Date
Count
2022-01-01
2
2022-01-02
2
2022-01-03
2
Total
3
A count will appear for each date where this ID occurred. The Total will always be correct.
However, I do not want to distinct count for each date. Just the first date at which the ID occurred.
Date
Count
2022-01-01
2
2022-01-02
0
2022-01-03
1
Total
3
First create a measured column :
Dates = calculate ( min('Table'[DATE]),
filter('Table','Table'[ID ] = EARLIER('Table'[ID ])))
then use your measure with the above column
Count = DISTINCTCOUNT('Table'[ID ])
This one will works fast. Just replace your measure with this one and get a result.
MyMeasure =
VAR t =
CALCULATETABLE( --new
VALUES('table'[ID]) --new
,FILTER(
'table'
,VAR dateInRow=[DATE]
RETURN
dateInRow=CALCULATE(
min('table'[DATE])
,ALLEXCEPT('table','table'[ID])
)
)
) -- new
VAR result = COUNTROWS(t)
RETURN
IF(
ISBLANK(result)
,0
,result
)
Related
I've this Measure in Power BI to calculate the average value ignoring low values (lower than the complete average previously calculated)
Measure =
var T1 =
SUMMARIZE(RAD,RAD[deviceid],"SUMDEVICE",SUM(RAD[data]))
VAR AVGDEVICE =
AVERAGEX(T1,[SUMDEVICE])
RETURN
AVERAGEX(T1, IF([SUMDEVICE]>=AVGDEVICE,[SUMDEVICE]))/1000
In this page I have two slices, one to select a time range and other to select a device. In this case, for this measure I want to ignore the device filter from the slicer, only with the date filter.
The RAD table is simple, and it is something like this, I have 4 devices and data for all the days of the year:
Date
DeviceId
Data
01/01/2022
A
100
01/01/2022
B
120
01/01/2022
C
90
01/01/2022
D
74
I can't find how to ignore this filter and have a fixed value for the selected time range in the slicer.
Thanks!
Try this one.
Measure =
var T1 =
CALCULATETABLE(
SUMMARIZE(RAD,RAD[deviceid],"SUMDEVICE",SUM(RAD[data]))
,ALL(RAD[deviceid]) -- works if the slicer is of this column or change to the proper tableName[columName]
)
VAR AVGDEVICE =
AVERAGEX(T1,[SUMDEVICE])
RETURN
AVERAGEX(
FILTER(
T1
,[SUMDEVICE]>=AVGDEVICE
)
,[SUMDEVICE]
)/1000
I am working to get cumulative distinct count of uids on daily basis. My dataset consists dates and UserIDs active on that date. Example : Say there are 2 uids (235,2354) appeared on date 2022-01-01 and they also appeared on next day with new uid 125 (235,2354,125) on 2022-01-02 At this point i want store cumulative count to be 3 not 5 as (user id 235 and 2354 already appeared on past day ).
My Sample Data looks like as follows:
https://github.com/manish-tripathi/Datasets/blob/main/Sample%20Data.xlsx
enter image description here
and my output should look as follows:
enter image description here
Here's one way that seems to work, using your linked Excel sheet as the data source.
Create a new table:
Table 2 = DISTINCT('Table'[Date])
Add the columns:
MAU = CALCULATE(
DISTINCTCOUNT('Table'[User ID]),
'Table'[Date] <= EARLIER('Table 2'[Date]))
DAU = CALCULATE(DISTINCTCOUNT('Table'[User ID]),
'Table'[Date] = EARLIER('Table 2'[Date]))
Result from your Excel data
I have a table of calls with a column for phone number and call id. I want to create a visual that shows how many callers called how many times. (e.g. 5 callers called once, 4 called twice etc.) The challenge I am facing is that once I calculate the count of the number of callers that called count times, the table is static and is not affected by the filters on the report (e.g. the date filter).
This is what I have done so far. Is there a better way?
CallerNumber
CallID
DateTime
1
a
2022-01-01
1
b
2022-01-01
2
c
2022-01-02
3
d
2022-01-03
4
e
2022-01-01
4
f
2022-01-05
4
g
2022-01-06
From the above original data, I created a table...
Table1 =
SUMMARIZE(
Query,
Query[CallerNumber],
"Call Count", COUNT(Query[CallId])
)
CallerNumber
Call Count
1
2
2
1
3
1
4
3
and then another table from that table which gave me...
Table2 =
SUMMARIZE (
'Table1',
'Table1'[Call Count],
"Number of Callers", COUNTROWS('Table1')
)
Call Count
Number of Callers
1
2
2
1
3
1
How would I instead show the below if someone were interested in calls on Jan1?
Call Count
Number of Callers
1
1
2
1
Thanks!
CalculatedTable is populated once at powerbi Model refresh, this is why it don't reflect any change in your filters.
A better option is to use a measure:
CountOF = CALCULATE( countrows(VALUES('Table'[CallID])))
Add additional "counter" table with number from 1 to 10 .
how manyCaller = var _virtual = ADDCOLUMNS(VALUES(detail[ids]), "CountOfCalls", [CountOF])
return
CALCULATE( countrows(FILTER(_virtual, [CountOfCalls] = SELECTEDVALUE(counter[CallCount]))))
I am trying to create a measure that calculates (a/qty)*100 for each month,
where qty commes from Delivery table (generated with an R script)
month qty
<date> <dbl>
1 2019-02-01 1
2 2019-03-01 162
3 2019-04-01 2142
4 2019-05-01 719
And a comes from a table TABLE_A that has been created within Power BI that looks like this :
Client Date a
x 2019-03-07 3
x 2019-04-14 7
y 2019-03-12 2
So far, I managed to calculate that value overall with the following measure formula :
MEASURE = CALCULATE( (Sum(TABLE_A[a])/sum(Delivery[qty]))*100)
The issue I have is that I would need this measure monthly (i.e. join the tables on month) without explicitly defining a link between the tables in the PowerBI model.
For each row in TABLE_A you need to look up the corresponding qty in Delivery, so try something along these lines:
MEASURE =
DIVIDE(
SUM( TABLE_A[a] ),
SUMX(
TABLE_A,
LOOKUPVALUE(
Delivery[qty],
Delivery[month], EOMONTH( TABLE_A[Date], -1 ) + 1
)
)
) * 100
The formula EOMONTH( TABLE_A[Date], -1 ) returns the end of the previous month relative to that date and adding 1 day to that to get the start of the current month for that date.
I am working in POWER BI and trying to calculate a DAX expression for the rolling total of the previous month. I have a filter where I select a certain month, I would like to calculate the rolling total for the previous month.
Below is the calculation that works perfectly to calculate the rolling total for the selected date range.
How can I calculate the previous months rolling total?
Rolling_Total_Current_Month = CALCULATE(
SUM(SalesInvoice[Sales])
,FILTER(ALLSELECTED(SalesInvoice), (SalesInvoice[Date]) <= MAX(SalesInvoice[Date])))
Here is a sample of my data, I have sales per day, for multiple categories, (in fact i have a couple more columns of details but this is simplified)
Date Day Amount Category
1/1/2016 1 100 A
1/1/2016 1 120 B
1/1/2016 1 90 C
1/2/2016 2 500 A
1/2/2016 2 321 B
1/2/2016 2 143 C
So far I have come up with an equation to solve the rolling total, but when I try to slice is and view the rolling total of a single category it does not work for the previous month. I just keeps the original rolling total for the previous month.
Here is the equation for the rolling total previous month that works. But does not recalculate a rolling total for the previous month once sliced based on category.
PREVIOUS_MONTH_ROLLING_TOTAL =
CALCULATE(
[Current Sales]
,FILTER(
ALL( Orders )
,Orders[MonthNumber] = MAX( Orders[MonthNumber] ) - 1
&& Orders[Day] <= MAX( Orders[Day] )
)
)
I have solved how to get the previous months rolling total.
You must do three things. First create a Month Number column in your data sheet (this is used as an integer to subtract 1 month from). You must also create a days column as well.
Then create a measure for Current Sales or whatever your value is.
Create a measure for the current month sales
Current Sales = SUM(Orders[Amount])
Then this equation.
PREVIOUS_MONTH_ROLLING_TOTAL =
CALCULATE(
[Current Sales]
,FILTER(
ALL( Orders )
,Orders[MonthNumber] = MAX( Orders[MonthNumber] ) - 1
&& Orders[Day] <= MAX( Orders[Day] )
)
)
The Idea of this equation is to be able to display the previous months rolling total on a chart with the X axis as "DAY" (so 1-31) Then you can view the current month, previous month, same period last year all on the same chart or table.
Try something along these lines:
Rolling_Total_Previous_Month =
VAR CurrentMonth = MAX(SalesInvoice[Date])
VAR PreviousMonth = EOMONTH(CurrentMonth,-1)
RETURN CALCULATE(SUM(SalesInvoice[Sales]), SalesInvoice[Date] <= PreviousMonth)
To start of, I have a data like this in a table called as Orders-
Date Amount
12/12/2017 100
12/12/2017 200
12/12/2017 300
1/1/2018 400
1/1/2018 500
I first create a calculated column called as Year & Month by using the formula:-
Year = YEAR(Orders[Date])
Month = FORMAT(Orders[Date],"mmmm")
Then I create a column called as Month Number which will be helpful for sorting when more than one year is involved in the table and as well as to Identify the Previous Months.
MonthNumber = DATEDIFF(Min(Orders[Date]),Orders[Date],MONTH)
Current Month Sales can be a measure or a Calculated column. Qn the Question, you had your answer for current month sales via a calculated column and if you want to go for a measure then something like this would work on a summary table.
Current Month Sales = SUm(Orders[Amount])
I would also create a column called as Key:-
Key = Orders[MonthNumber] & Orders[Category]
Now, for the Previous Month Sales, I would create a measure that looks for selected MonthNumber that we created.
Previous Month Sales =
Var SelectedCategory = SELECTEDVALUE(Orders[Category])
Var SelectedMonthNumberr = SELECTEDVALUE(Orders[MonthNumber]) - 1
Var ReqKey = SelectedMonthNumberr & SelectedCategory
Return
IF(ISBLANK(SelectedCategory) <> True(),
CALCULATE(SUM(Orders[Amount]),FILTER(ALL(Orders), Orders[Key] = ReqKey)),
CALCULATE(SUM(Orders[Amount]),FILTER(ALL(Orders), Orders[MonthNumber] = SelectedMonthNumberr)))
or to your Measure
PREVIOUS_MONTH_ROLLING_TOTAL =
CALCULATE(
[Current Sales]
,FILTER(
ALL( Orders )
,Orders[MonthNumber] = MAX( Orders[MonthNumber] ) - 1
&& Orders[Day] <= MAX( Orders[Day] )
)
)
You can just add another filtering item as && Orders[Category] = SELECTEDVALUE(Orders[Category]) but won't work when you don't have any categories selected or on a table or visual which doesn't have categories. So, you would need to define an if else logic here as I have quoted on my measure formula.
Do let me know, if this helps or not.