I am trying to get the first 4 digits from a string from a table in Power BI. The connection is a live connection / Direct which does not allow me to edit the query. Also, I am unable to create a new column. So I have to stick with creating a new Measure.
Now, I am using the following formula to get what I need.
LocationCd = mid(vw_DW_Contracts[ContractNumber],1,5)
but, this is not working a the vw_DW_Contracts table cannot be used in a measure. Is there a workaround to such problem?
I do not have access to the analysis service so cannot make any modifications in the source.
Please help.
Thanks
but, this is not working a the vw_DW_Contracts table cannot be used in a measure.
I'm not sure what you mean by this, but I'm guessing the message you see is telling you that measures expect an aggregation. The formula you posted would be great as a calculated column where it can be evaluated row by row. Measures are aggregations over multiple rows.
If you are trying to make a new field that is the location code that can be used in visuals on a categorical axis, this should be a column rather than a measure. You could write a measure to show a location cd using something like LASTNONBLANK (mid(vw_DW_Contracts[ContractNumber],1,5), 1) but I doubt that is what you want.
Related
I need to calculate the time difference between two timestamp columns in my table and create a new column with the calculated values but as I'm doing this in the direct query mode, I have some limitations for it.
I tried datediff, duration.totalseconds etc but nothing really worked..
A header
Another header
2022-07-02T21:09:13
2022-07-02T18:10:00
2022-07-03T06:09:35
2022-07-03T03:10:00
2022-07-03T03:08:41
2022-07-03T00:10:00
2022-07-02T15:09:29
2022-07-02T12:10:00
2022-07-05T00:09:22
2022-07-04T21:10:00
2022-07-02T12:09:34
022-07-02T08:30:00
I was able to achieve the result I want through my sql query
select (unix_timestamp(timestamp1)-unix_timestamp(timestamp2))/3600 as hourly_diff from table1
hourly_diff
2.9869444444444446
2.9930555555555554
2.9780555555555557
2.991388888888889
2.9894444444444446
3.6594444444444445
2.9716666666666667
3.0055555555555555
This is the result I'm getting with my sql query and I want the same result with DAX..
Anyone could help me with this query?
Thanks in advnance
I need some help creating a measure to change the name of "FROM_USER" in the slicer here.
I think I need to use the function SELECTEDVALUE, but I have not managed to get it working.
So, the column has only two values, CRAWLER and FROM_USER.
Any suggestions would be helpful!
See picture
Measures can't be used as slicer values. If you want the column values to be changed and yet to be used in a slicer, you need to create a calculate column to change that.
Column = IF('Table'[Column1]="FROM_USER","desiredValue","CRAWLER")
If you are really keen on using a measure to slice, you need to build a disconnected table and follow the method described here. But the performance will take a hit depending on how complex your data model and calculations are.
I'm trying to see if I can write tests in C# that will validate the measures in a model; to do I need to execute the measure and compare the result with an implementation in C# that should be the same.
I've set up a basic Power BI-report containing a couple of tables and measures. One of the measures is a simple count('fact_data'[Item]), and works as expected when I'm looking at it in the report.
When connecting to the model via ADOMD.NET I'm able to extract the measure expression programmatically, but when I try to run it via the AdomdDataAdapter all I get is
AdomdErrorResponseException: Query (1, 18) The syntax for '[Item]' is incorrect. (COUNT('fact_data'[Item])).
Other and more basic queries where I simply return table contents work without problem.
No matter what I try I cannot get this to execute; if I rename the column or table to something that doesn't exist, I get an error about this so it would seem that the query is executed, but that something is either wrong or missing in the syntax.
I still don't know how to do this via ExecuteScalar(), but wrapping the DAX in a ROW() seems to work for stored measures.
Is it possible to refer from Power Query (M) to DAX calculated table? I would like to get DAX table as a source to my power query.
The purpose. I have grouping table made in DAX. I would like to make econometric model with R. So I would like to transform the DAX table with R to get the model parameters. I would like to use these parameters further in DAX measures (not just display them).
Currently I dump the DAX grouping table to Excel file and then pull it up with Power Query.
Actually, there is a way.
DISCLAIMER: This is a hack. You should not rely on this way.
1. Create DAX calculated table
Input any DAX formula that evaluates to a table in Modeling > New Table.
2. Check port number using DAX Studio
Connect to your PBI Desktop data model using DAX Studio, and check the port number where the data model is hosted. It should be displayed in the right bottom of the window.
3. Import the table to Power Query
Click Get Data > Analysis Services and input the address (in my example "localhost:50293") to Server. Then navigate to your DAX calculated table.
it's not possible to refer to a DAX calculated table in M as it's loaded into DAX/Power Pivot engine after M has done the transformations. You can't write to a DAX table after loading into R as well. You can do grouping in M, or if needed run R in the Power Query. One approach that I have used has to load the data, duplicate the query, run a group/filter on the new query, then use that data in a later stage in the report.
Hope that helps
Jonee is correct. This is not possible. DAX calculated tables are computed after the M queries have loaded and you cannot feed them back into Power Query without saving them externally like you are currently doing.
The M language is more powerful than you might think and very likely could do the same grouping operations, though depending on what they are, it might be fairly difficult. You can also use R or Python script within an M query if you are more comfortable with those.
I am new to Power BI and with the limited time given, I am stuck at how to come up with:
Below Table B-Row1 ("1/20" and "M"-Monday cell) - how to
specifically place the date measures in their specific cell and put
it in one column?
How can I merge the cells under the Total column?
How to add all the numbers from the Type1 and Type2 columns and place it in the merged cell in #2?
Any clues/direction/links on how to achieve the Target Table B below will be much appreciated.
PS. Below Table A. Current is just using Matrix Visualization in Power BI.
You can't exactly do what you are after. PowerBI allows you to rapidly put amazing visuals together however that comes at the price of lack of (easy) flexibility. You could build your own custom visual or look in App Source for a visual that does this, or build the Visual in some other tool (via custom code).
However, I'd recommend sticking with the PowerBI matrix, which will give you a cascading drill down and work out how best to align your data to it and other out of the box visuals. Once you start to delve in to convoluted work-arounds to give users data in exactly the format they request you start to burn a lot of time. Look for alternatives to tell the data's story and work with your end-user to buy in to it.
Just wanna share that I have resolved my problem not using one type of visualization, but through using 3 different visualizations in Power BI. I used:
1 Table visual for Date column
1 Table visual for Total column
1 Matrix visual for the Code+Type mapping and counts
I also used DAX function to get the Date format and another DAX function used for both Total and Code+Type counts(to filter data according to the specified date).
Thanks for the response, #Murray and #RADO.