I have a table in Power BI Desktop which has multiple columns (5 Dimension data connected with a Fact table - Star Schema).
I have now added 3 Slicer to filter data in above table but when I select the first slicer then the other slicers should show only available dimensions data but it is showing all the available data.
I tried changing Cross filter Direction to both from single in Manage Relationship but it works for only one column but not to all with the below error or warning message.
NOTE: I do have few more Pages in the same Visualization report which contains separate fact table with same dimension keys.
Please let me know how to resolve this or any other suggestions.
Use the following measure to filter through your dimensions
Cross Filter = INT( NOT( ISEMPTY( 'Your FACT TABLE') ) )
Then dragg this measure in every slicer into the filter pane and select the option is equal to 1.
My power bi version is in spanish but you will get the idea.
----------------------------------------
Related
I have tabular powerBI reports where few columns gets populated dynamically ( Like Year2022 , Year2023 ) within source query.
Report looks something like attache image.
Now Business Require slicer/Filter in such a way that He can filter those dynamic columns and he gets control to show and hide columns based on slicer selection with report.
I have find the solution but that is more suitable for filtering Static Columns , Is there any way we can filters Dynamic Columns through slicers .
Since Dynamic Columns numbers not fixed sometime ,
For one data refresh i can see Year2022, Year2023 and for other Year2025 ,Year2026.
Any solutions, direction will be appreciated
enter image description here
I'm new to DAX so please bear with me.
Can I use the IN operator in DAX to create a query directly in Power Bi desktop?
For example, the screenshot below displays over 120 curencies in DimCurrency.CurrencyName. Is it possible to create a DAX query where I can include all my filters using IN operator?
For example, maybe something like this?
CALCULATE (
[Sales Amount],
Products[Color] IN { "Red", "Black" }
)
The reason I'm interested in using DAX is because my current filter has over 200 different items, so I don't want to scroll through the 200-item list and select 5 different items.
This is a data modeling problem. In Dimensional Modeling terms your Dimension needs some additional attribute hierarchies to drive the filtering. This is just like why a Calendar table doen't just have a Day column, it needs Month, Year, Quarter, so you don't have to select all the individual Days.
Basically DimCurrency needs an additional column, so that you can include those 50 currencies by selecting fewer values of that new column.
One way to modify your data model is with DAX calculated columns, with an expression of the form
IsFacoriteCurrency = 'DimCurrency'[CurrencyName] in {"Algerian Dinar","Argentine Peso"}
you can also modify the data model in the data source or in Power Query.
I have a table visualisation that shows the populations of countries and a toggle switch that flips between 'sold' and 'unsold'. (This works with a measure that checks is a country is present in a sales table and assigns a 1 or 0 which is then used as a filter on the table visualisation).
Various slicers in the dashboard are used to filter the data model and retain the details of sales. When 'unsold' is selected therefore, the relevant countries are already filtered out of the countries data table and it is not possible to display them with their populations.
At the moment the workaround is to use a duplicate countries table that only has a one way filter, so that the rows remain regardless of filtering. This means that other slicers which interact with the rest of the data model don't filter the table visualisation as desired.
I am sure this must be possible using some combination of CALCULATE(), FILTER() and ALL() but I haven't managed to achieve this.
N.B. I can force the unsold countries to appear in a table visualisation using a constant measure (with formula: measure_name = 0) in a column .
Apologies if this is not very well explained, any help much appreciated.
Thanks for reading,
S
Image attached to (hopefully!) explain problem better.
Real scenario is more complicated hence not screenshotting from PBI.
I am trying to replicate one of the tableau report into power bi. I am new to tableau and power BI so I am just learning from online and working on this project. Hence I have few questions in adding filters and grouping columns.
there is a custom query used in tableau to build the report. I am using the same report in power bi to replicate the same report. I have attached the code below. I have loaded the query in power bi and visualize the data. but I wanted to add the filters same like the tableau report has. but I am unsure how to add those in power BI.
Questions 1 : how do I add the filters to the power bi in a same way it is used in tableau(screenshots attached)
questions 2: in tableau filter "report date" is used a condition (report date >=adddate and reportdate<=dropdate. could you please help me how to create the same type of filter in power bi?
3. how do I group by the columns in power bi in the same way as tableau does?(screenshot attached)
Good you are trying to learn Power BI and tableau, two really great tools! I'm not going spoil your learning by precisely answering your questions, but I can give you some directions.
Try using the slicer visual and in the visual select drop-down.
This one is a bit more complicated in Power BI as it requires you to create multiple objects. First you should create a list of values for your parameter. You can do this using Create New Table and using the CALENDAR() function, it's called a calendar table. Combine it with a MIN() and MAX() function to get the first and last dates in your dataset.
Parameter = CALENDAR( MIN ( Table[adddate] ) ; MAX ( Table[dropdate] ) )
Secondly, you create a measure which will determine if a row in your table matches the criteria you specified. This needs to be a measure, as calculated columns do not accept variable parameters.
Included =
var _selectedDate = SELECTEDVALUE( Parameter[Date] ; MIN ( Parameter[Date] ) )
RETURN
SUMX (
Investments ;
IF (
AND ( Table[adddate] <= _selectedDate ; Table[dropdate] >= _selectedDate )
; 1
; 0
)
)
Add the measure to the visual filters of your matrix and make sure it filters for the value 1.
Finally, add the Parameter[Date] field to your report page and set it to the visual style slicer as mentioned in the answer to question 1
Try the matrix visualization and make sure that you drill down in the visual. Hover your mouse over it and select the branched arrow.
My scenario is this: SalesValue have been entered for multiple sessions namely Lunch, Breakfast, dinner which is grouped by SessionKey in numbers. The same SalesValue repeats at times for 2 or more sessions for a given production plan date, based on MenuKey, RawMaterialKey and IngSFKey.
I need to use DAX query in Power BI to remove duplicated SalesValue based on ProductionPlanDate and SessionKey for a particular MenuKey in a given date.
I have attached the screenshot of a sample value range of SalesValue containing duplicate values for the same date across different sessions for your reference. For example, rows 7 and 14 have the same ProductionPlanDate, SessionKey, MenuKey, and SalesValue.
So you have a table with one "Grain" and you want to change the "Grain" by using a subset of the columns. Specifically you want only rows with distinct columns ProductionPlanDate, SessionKey, MenuKey and SalesValue
To do this in a DAX query you would use
evaluate
summarize
( 'table name'
, 'table name'[ProductionPlanDate]
, 'table name'[SessionKey]
, 'table name'[MenuKey]
, 'table name'[SalesValue]
)
You could provide this to create a calculated table or provide it to each measure that needs to work with this coarser grained data set.
However as it seems you are in Power BI the more appropriate place to do this would be to create your coarser grained table using Power Query (via the Edit Queries section of Power BI).
This is better than doing it in DAX as DAX is more tuned to analytics where Power Query is tuned to data transformation - and you want to do data transformation.
You can either keep the table that you have now alongside the new modified or replace it accordingly.
option A will just change your incoming table to have the new coarse grain.
option B will keep your original table and have the new grained table alongside it. Note that this will mean any Power BI visuals that you have created will need to be "rewired" to use the new table.
To do the transform in Power Query, the steps for both options are
Go to the Edit Queries area on PowerBI
Select the columns that you want to create the new Grain (i.e. ProductionPlanDate, SessionKey, MenuKey and SalesValue) by holding ctrl and clicking the column headers of each column in turn.
Right click on the column header for one of the selected columns and select "Remove Duplicates"
If you want option B, simply first copy the existing table by using "Reference" then do the same thing as follows:
Find your existing table on the left Queries section, r-click and click Reference
Rename the new table something appropriate
Apply the transform steps to the new table as above
Click Close & Apply and rewire any existing visuals that you need to use the new table
If you find you don't need your old table you can R-click on it in Power Query again and uncheck "Enable Load" so that PowerBI will not see it anymore.