I'm importing data from a cube but since the whole cube is too big for Power BI I have to use MDX to filter it out.
I'm new to MDX and so far I've come up with this code:
SELECT NON EMPTY Hierarchize({DrilldownLevel({[Stores POS].[Type hierarchy].[All types]},,,INCLUDE_CALC_MEMBERS)}) ON COLUMNS , NON EMPTY Hierarchize({DrilldownLevel({[Stores POS].[POS hierarchy].[All POS]},,,INCLUDE_CALC_MEMBERS)}) ON ROWS FROM [Receipts Cube] WHERE ([Time].[Time].[Calendar Year].&[2020],[Measures].[Count of Receipts])
This all works in SSMS the way it has to. Left column with store names etc. But when I copy that code to PBI the stores names disappear and instead I have "[Stores POS].[POS hierarchy].[All POS]" for each value where a Store name should be. I'm guessing PBI doesn't like hierarchizing but when trying to remove it I can't get the code to work at all.
SELECT
NON EMPTY {[Stores POS].[Type hierarchy].[WinPOS], [Stores POS].[Type hierarchy].[SelfCheckout]} ON COLUMNS,
NON EMPTY {[Stores POS].[POS hierarchy].[Store]} ON ROWS
FROM [Receipts Cube])
WHERE ([Time].[Time].[Calendar Year].&[2020],[Measures].[Count of Receipts])
Related
I'm beginning to think that what I'm looking for isn't actually possible.
I have two datasets - one of Titles and one of Keywords. Only one column from each is relevant to this query - Titles[Title] and Keywords[Keyword]. So pretty straightforward data. Titles has around 2 million rows, and Keywords will eventually have ~500-1000.
I would like to display a slicer of Keywords[Keyword] values, which will filter the Titles dataset where Titles[Title] contains one of the selected Keywords[Keyword] values.
I tried creating a DAX calculated column on Titles like below -
Matches = IF(SUMX(FILTER('Keywords','Keywords'[Keyword] <> ""),FIND(UPPER('Keywords'[Keyword]), UPPER(Titles[Title]),,0)) > 0,1, 0)
I then apply a report level filter for Matches >= 1. This works for all keyword values, but is not aware of the selection in the slicer.
I tried changing it to use ALLSELECTED('Keywords'[Keyword]) as the first argument passted to FILTER, but this doesn't seem to have any effect.
As a test, I created a Calculated Column and a Measure with the exact same DAX -
CONCATENATEX(VALUES(Keywords[Keyword]), Keywords[Keyword], ",")
This displays the slicer selection delimited by commas for the measure, but not for the column. Since I want to calculate this per row and filter the report based on this, a measure isn't suitable.
Is there any other way I can refer to the filtered Keywords[Keyword] in my calculated column? Or is there a way that a Measure could actually be used to achieve this? Or is there a completely different approach that I could try?
I have my data source something like below.
I need to show output in the report as below.
I tried using the unpivot column and getting something like this, how to count the occurrence value of each Business value.
Plot following mesure against Value column (from your unpivot table):
Business Occurance = COUNTROWS('your unpivot table')
We have to remove the Attribute column as the next step to Unpivot. Then my table should be looks like this.
Now create a new table with following Dax function, let's say the current table as Business Data (Your Unpivot table)
Occurrence Table = DISTINCT('Business Data')
Now end result table should look like this,
You can make use of this table for your table visual in the report.
Note: You can add n-number of rows and column into your source table and this logic will do magic to get the correct result.
I have marked two places first marked place you have to add Value column then click second marked place one dropdown value is open click count menu
I have the following query in M:
= Table.Combine({
Table.Distinct(Table.SelectColumns(Tab1,{"item"})),
Table.Distinct(Table.SelectColumns(Tab2,{"Column1"}))
})
Is it possible to get it working without prior changing column names?
I want to get something similar to SQL syntax:
select item from Tab1 union all
select Column1 from Tab2
If you need just one column from each table then you may use this code:
= Table.FromList(List.Distinct(Tab1[item])
& List.Distinct(Tab2[Column1]))
If you use M (like in your example or the append query option) the columns names must be the same otherwise it wont work.
But it works in DAX with the command
=UNION(Table1; Table2)
https://learn.microsoft.com/en-us/dax/union-function-dax
It's not possible in Power Query M. Table.Combine make an union with columns that match. If you want to keep all in the same step you can add the change names step instead of tap2 like you did with Table.SelectColumns.
This comparison of matching names is to union in a correct way.
Hope you can manage in the same step if that's what you want.
I use Power BI to create reports and visuals for large enterprise clients.
I have an interesting request from one of my clients: they would like to be able to see a summary of all filters that are applied to a given report. I used the ISFILTERED() function to create a card visual that lists the dimensions that are filtered, but they would like to be able to see which values are being shown. This works just fine when they have sliced or filtered for just one value, but how can I show when more than one is selected? My DAX is below:
Applied Filters =
var myvalues = VALUES(mytable[dimension_column])
return
IF(ISFILTERED(mytable[dimension_column]) = FALSE(),
"Not filtered",
"Column Name:" & UNICHAR(10) & mylist)
When only one value is selected in the slicer, the output is:
Column Name:
Selected Value
Obviously, when more than one value is selected in the slicer, variable mylist will have more than one value and the function fails. My question is, how can I convert the column myvalue to a list in DAX, so I can output each and every value?
What I want to get is:
Column Name:
Selected Value1,
Selected Value2,
etc.
Thank you!
One possibility is to concatenate all the values into a single string.
For example, you'd replace mylist with the string
CONCATENATEX(VALUES(mytable[dimension_column]), mytable[dimension_column], UNICHAR(10))
You're really only returning a single value for the measure, but it looks like a column.
Another approach is, instead of using a card, to simply create a table visual that just has mytable[dimension_column] for the values. This table will automatically filter as you adust slicers.
I have this table in Power BI, But I can't do another table.
How I can do this?
Now the values are grouped by date (different fields have information under one date, next the same fields are grouped by another date)
I want the values in the columns to be grouped by field (one field has date information next to it).
Edit1:
I can't set Date on the 2nd place in the grouping
Because date is column, traffic,orders,rev,costs- are values
You need to set Date on the 2nd place in the grouping, after a field containing traffic, orders, etc.
EDIT:
You need to unpivot these columns first, for example, in PowerQuery. Use Edit Query. This results in transforming your 4 columns to 2: Attribute and Value. Attribute will be your first grouping parameter. 2nd will be Date. Value column goes to values.
If you need your source query somewhere else, you may create new query for this very report only. It is done by first right-clicking original one and selecting Reference Query, and the doing any edits. This will keep original query intact.