Team,
I have one table and need to do cross apply to create multiple rows with the help of power query. In VBA i can do this by loops but need to do with power query...
For instance,
Table A has SLA1 and it is applicable to 3 Depts, so I should get 3 rows. Here all the SLAs will be in vertical and depts will be in horizontal. X will be used to determine applicability of SLA for respective dept. or depts (if X in multiple depts.)
Thanks in advance.
With the table in Power Query, select the first column, then click Transform > Unpivot > Unpivot other columns.
Rename and remove columns as desired.
Related
I need a calculated column based on conditions in two columns (Business Unit Number in both tables and L1/Account Categories in 1st table and the second table) which sum and then repeat for several rows before the conditions change and a new sum is repeated for several rows and so on. The L1/Account Categories columns have different names because it's the raw data.
For example, any time ASSETS and 111 appear in the same row, I would want to use those as conditions and with the sum of all of the other matching rows in a new column and the sum would repeat each time both conditions appeared in the same row. Any time P/L and 111 appear in the same row, that would be a sum of all other P/L and 111 appearances in the dataset (about 1000 rows overall)... and so on.
I've tried formulas with DAX using FILTER, SUMX, nested IF statements and also tried the Power Query language among other attempts. Maybe I have to create one or more than one new table? If you need to take a look at a few of my attempts, just let me know.
The top image is how I imagine the output will look in the power query editor and the bottom image is a sample of the source data.
This last pic is from Tableau - I need to make a table in Power BI which essentially a duplicate of this image. The last 2 columns are pulling from different tables.
This should be very simple to achieve with relationships and measures - no need for calculated columns or power query merges. You need to build a relationship between these two tables. In fact, I would introduce a third table in your model for Business unit.
The limitation of Power BI model relationships is that they can only be based on a single column. So to build a relationship between these two tables you would have to add a calculated column in both of them that would contain both a BU and the financial statement line, for instance: JoinCol = CONCATENATE([Business_Unit_Number], [L1]). Then you could create a relationship and do what you want.
The better (one that I would recommend) approach would be to separate Business Unit into a separate table and have relationships built like this:
Then all you have to do in your visual is drag Business unit name from the BU table, L1 from the FS Lines table and a measure to sum the amounts Amount = SUM('Financial Data'[Rolled Up Detail]).
Here is a working sample: https://1drv.ms/u/s!AmqvMyRqhrBpgtUT5HKnZP1U3Gzc9w?e=en91dV
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.
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I would like to create a new table in Power Query (for Power BI) with 2 columns that contain data from other columns. These 2 new columns should have the data from the source columns stacked one over eachother. Attached is a link with the desired results.
https://ibb.co/dP1k6pd
What I need is a formula that will automatically update the new columns (ID and cars).
Have not tried anything as I do not have any ideas how to do this yet.
No code provided.
The new columns should automatically drag the data from the source columns and organize it vertically.
Best regards,
Denis
Go to the Edit Queries then select all 3 columns at the header (with shift and mouse click) then go to Transform > Unpivot Columns > Unpivot Only Selected Columns.
You can remove the middle column now and change the column headers to get your desired result.
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.
why in power bi calculated columns do not appear in merging or appending two different tables? Is there any way to enable this thing?
I am facing difficulties while merging two tables in which one of the table contains calculated columns.
Calculated columns doesn't appear in query editor. Try adding column in query editor itself if possible.