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.
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I am loading an Excel file, in which it has 43 rows, all the rows are identical. This is the only file I'm loading and there are no connections relationships in the model whatsoever.
When I plot my data into a table visual, and choose not to summarize any of my fields, Power BI still shows me one row. While if I change any of the field to do a count of it, it shows me correctly that I have 43 rows. I need to be able to see all the 43 rows in my table.
Why is Power BI summarizing my data even if I command it not to do so?
Am I missing something simple?
Input table as seen in Power BI data tab:
The visual I'm trying to create:
The table visual in Power BI behaves similar to a Pivot Table in Excel.
W/o an aggregation defined, the "Values" fields behave like "Rows" in a Pivot Table and you will only see distinct items or distinct item combinations. You have 43 identical records, hence it is represented as one row in the visual.
With an aggregation defined (Sum, Count, ...) the field behaves like "Values" in a Pivot Table, and you get the result of that aggregation, filtered by the distinct items/combinations to the left, which is again one row in your case.
If you just want to show all the records in a table visual, you'll have to make them unique. The easiest way to achieve that is by adding an index column in PowerQuery and then also showing that index in the table visual.
However, this is not exactly what Power BI is made for and you are probably better off by switching to something like PowerPoint instead.
And btw., newer show sceenshots in stackoverflow, always provide sample data instead.
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
So I have this table:
Original Table
I would like to transform the Defect columns into only one without affecting the total of the Inspected column. I've tried the Unpivot the selected columns and brought me this result
Unpivot selected columns
The total of inspected changed from 13 to 52. To solve that problem I've tried to duplicate the table and unpivot only the defects and remaining the inspected in the other table, however I need to make calculations between those tables and both are already related to a third table. Someone has any idea how can I solve this?
Thanks in advance
Add column by example after selecting Attributes, ie Attribute Index.
Calculate count nulls, errors and percentages against the Attribute column total
Calculated Value = SUMX(VALUES(Attribute Index),CALCULATE(MAX(Value)))
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.
In Power BI, I am creating a report with some finance data of a company. I have 3 different tables. The table structure of all three tables are as follows:
I want to change these tables into this structure:
Is it possible to achieve this kind of structure? If yes and please suggest some method to do this?
To do it simply you can import 3 times your table using the query editor, and then in one table keep only columns for Planned, in the second table keep columns for Actual, and so on...
Hope that helps!