I would like to create a measure where I filter data between two dates.
I would like to see how many customers I had in the previous years so I would like to see the sum of the column "names" from my dataset.
My attempt:
L2020 =
COUNT('customers'[name], DATESBETWEEN('customers'[name], DATE(2020,01,01), DATE(2020,12,31)))
I am getting an error code that says "Too many arguments were passed to the SUM function. The maximum argument count for the function is 1."
L2020 =
CALCULATE (
COUNT ( 'customers'[name] ),
DATESBETWEEN ( 'customers'[name], DATE ( 2020, 01, 01 ), DATE ( 2020, 12, 31 ) )
)
Related
I have a dataset in PowerBI that uses many specific date values. I would like to create a new column that gives the count of the date value in its specific row, throughout the dataset. For example, the first few rows might look like this:
Date
Count
June 29, 2022
2
July 8, 2006
1
June 29, 2022
2
December 15, 2019
1
And I am trying to write code for the Count column.
I have already tried using the COUNT and COUNTROWS functions as well as an adaption of the following code from this question (all to no avail):
CountOfScheduled = calculate(countrows('YourTable'), FILTER(ALL('YourTable'[Department],'YourTable'[Call Status]), 'YourTable'[Call Status] = "Scheduled" && 'YourTable'[Department] = SELECTEDVALUE('YourTable'[Department]) ))
This function might work fine if you only have a few values and can type each one into the formula, but I have many values. I don't want to type in every single date in the formula.
If you just need a calculated column
Column =
CALCULATE ( COUNT ( 'fact'[Date] ), ALLEXCEPT ( 'fact', 'fact'[Date] ) )
ALLEXCEPT is a means of defining partition, fact[date] in this case.
If you meant a measure
Measure = CALCULATE(COUNT('fact'[Date]),ALL('fact'),VALUES('fact'[Date]))
You can use EARLIER (or EARLIEST) to refer to the matching item in the same row.
So:
Count = countrows(filter('Table (3)','Table (3)'[Date]=EARLIER([Date])))
I'm trying to calculate MAT (Moving Annual Total) using DAX, but can't realize exactly what I want.
I have the data as below.
What I'm trying to is calculate the total of treatment for each 12 month, like "Jan 21 - Dec 21" which has 'date' from 2020/1/1 to 2020/12/1. i.e. 'A' appears 4 times in that period, so the result will be like below.
Then I'd like to continue this for each latest 12 months, and finally visualize it like below.
I've read that I should use CALCULATE and DATESPERIOD in DAX, can't calculate exactly though. The following code is the one I tried and failed.
Moving Annual Total = CALCULATE(
COUNTA('2017-2022Q1'[idnum]),
DATESINPERIOD('2017-2022Q1'[mat].[Date], LASTDATE('2017-2022Q1'[mat].[Date]), 12, MONTH))
Could someone kindly give me an advise to realize this?
Thanks.
*This is the sample file.
https://drive.google.com/file/d/1gDNeBe5KiKBqx3cZ7G0SMiSQ23w96NF4/view?usp=sharing
In your dax measure, I recommend you first to create a date table and create a one-to-many relationship with the fact table(your table: '2017-2022Q1') ; then filter the date table in your calculate measure, not the fact table('2017-2022Q1') directly as you did here. You should follow the best practice.
For Example: How to create a date table using dax:
Date =
VAR MinYear = YEAR ( MIN ( '2017-2022Q1'[date] ) )
VAR MaxYear = YEAR ( MAX ( '2017-2022Q1'[date] ) )
RETURN
ADDCOLUMNS (
FILTER (
CALENDARAUTO( ),
AND ( YEAR ( [Date] ) >= MinYear, YEAR ( [Date] ) <= MaxYear )
),
"Calendar Year", "CY " & YEAR ( [Date] ),
"Month Name", FORMAT ( [Date], "mmmm" ),
"Month Number", MONTH ( [Date] )
)
Your final code could be like this:
Moving Annual Total = CALCULATE(
COUNTA('2017-2022Q1'[idnum]),
DATESINPERIOD('Date'[Date], LASTDATE('Date'[Date]), -12, MONTH)
)
if you define the start date using the lastdate() function, then It returns the last date in your filter context. you should also specify the interval as (-12) month to extract all dates within 1 year period.
Hope It helps.
I have a big data set with the structure as shown below.
Operation
User
Timestamp
Elapsed time
12
1
2018-01-03
11:19:02 AM
12
1
2018-01-03
12:34:02 PM
12
1
2018-01-04
8:34:02 AM
12
2
2018-02-03
9:34:02 AM
12
2
2018-02-03
11:12:42 AM
12
3
2018-02-03
12:12:00 PM
15
1
2018-01-02
9:22:32 AM
15
1
2018-01-02
9:25:32 AM
15
2
2018-01-02
9:25:32 AM
The goal is to form the column "Elapsed Time" using DAX and PowerBI. The column shows the difference/duration between the current timestamp and previous timestamp for the same user and the same operation.
I've tried something along the lines of:
Elapsed time =
DATEDIFF (
CALCULATE (
MAX ( data[Timestamp] ),
ALLEXCEPT ( data, data[Operation], data[User] ),
data[Timestamp] < EARLIER ( data[Timestamp] )
),
data[Timestamp],
MINUTE
)
`
But it complains about a single value for column 'Timestamp' in table 'data' cannot be determined. this can happen when a measure formula refers to a column that contains many values without specifying an aggregator such as min, max, count, or sum to get a single result.
I'm very new to DAX, so I'd appreciate any help.
Since the 'Table'[Operation] and 'Table'[User] of the current row are to be used as filter, a very simple approach might just use CALCULATE to trigger the context transition, transforming the current row context to the corresponding filter context, and then to replace the filer over 'Table'[Timestamp] to be less than the current Timestamp, previously saved to a variable. The context transition automatically sets the correct filters over 'Table'[Operation] and 'Table'[User]
Elapsed time =
VAR CurrentTimestamp = 'Table'[TimeStamp]
RETURN
DATEDIFF (
CALCULATE ( MAX ( 'Table'[Timestamp] ), 'Table'[Timestamp] < CurrentTimestamp ),
CurrentTimestamp,
MINUTE
)
Typing on the mobile, so apologies for possible errors. Assuming this is a calculated column:
Elapsed time =
DATEDIFF (
CALCULATE (
MAX ( Table[Timestamp] ),
FILTER (
Table,
Table[User] = EARLIER ( Table[User] )
&& Table[Operation] = EARLIER ( Table[Operation] )
&& Table[Timestamp] < EARLIER ( Table[Timestamp] )
)
),
Table[Timestamp],
MINUTE
)
Where Table is your table name.
There surely are now ways to do that, do apologies for non optimal approach.
I'm looking to create rankings that answer this goal:
For each Date, rank number of calls taken from highest to lowest per rep
Maintain this ranking for each date, regardless of how many dates are included
What I want to end up with:
Name
Date
Total Calls
Rank
Rep A
11/10/2020
27
3
Rep B
11/10/2020
28
2
Rep C
11/10/2020
29
1
Rep A
11/11/2020
27
3
Rep B
11/11/2020
28
2
Rep C
11/11/2020
29
1
I've found enough information on how to rank across all dates, but I can't figure out how to rank in the row context of each specific date. Any help would be appreciated!
Update:
I followed the instructions below which were really helpful, but came up with this ranking where total calls are not in order:
Ranking Not in Order of Most Calls
Here is the DAX as I have it:
Call Rank =
IF (
ISINSCOPE ( Final[Name] ),
CALCULATE (
RANKX (
ALL ( Final[Name] ),
CALCULATE (
SUM ( Final[Total Calls] )
)
),
ALLEXCEPT (
Final,
Final[Data Period],
Final[Name]
)
)
)
Assuming your input table is Calls, taken from your table
We can define a measure to compute per each day the ranking of Name per number of calls
RankPerDay =
IF (
ISINSCOPE ( Calls[Name] ),
CALCULATE (
RANKX (
ALL ( Calls[Name] ),
CALCULATE (
SUM ( Calls[Total Calls] )
)
),
ALLEXCEPT (
Calls,
Calls[Date],
Calls[Name]
)
)
)
Fist we check if the measure is evaluated at the Name level of granularity, otherwise we return BLANK(). Then, we use CALCULATE and ALLEXCEPT to remove any existing filter context keeping only the one over Name and the one over Date. With this modified filter context, we call RANKX specifying to build a ranking table containing all Names and the total minute calls per Date and Name, in order to retrieve the current Name ranking.
This is the resulting matrix visual with Calls[Date] and Calls[Name] on the rows
I need several measures in my report. The measure I want to start with is count of distinct ID four months before the month I selected on (e.g if I select on Aug 2018, the calculation would be all distinct ID before 30/04/2018). The reason I'm doing this is later on I also want to use this same slicer to work on count of ID within the four month period based on the selection.
Here is my DAX Calculation with comments:
Count four months ago =
// Find the end date of the month
VAR end_of_last_quarter =
FORMAT ( EOMONTH ( MAX ( 'Calendar'[Date] ), -4 ), "dd/mm/yyyy" )
RETURN
// Count distinct ID on or before that date
CALCULATE (
DISTINCTCOUNT ( 'Report Data'[Id] ),
FORMAT ( 'Report Data'[REPORT DATE], "d/mm/yyyy" )
<= FORMAT ( end_of_last_quarter, "d/mm/yyyy" )
)
& " Reports before "
& end_of_last_quarter
However after checking this calculation, it seems it only gives me the number of counts in the month I selected:
The screenshot tells me there are 12 report in Apr 2018, rather than the right number before 31/12/2017.
Thanks in advance for any ideas