Trying to sort a column in my custom date table (a csv file) via a calculated column in the same table but am seeing an error. The calculated column does not reference the column I wish to sort by. Here's the DAX for the calculated column:
PeriodOffset =
Dates[Period] + Dates[FiscalYear] * 13
- CALCULATE ( VALUES ( Dates[Period] ), Dates[Date] = TODAY () )
- CALCULATE ( VALUES ( Dates[FiscalYear] ), Dates[Date] = TODAY () ) * 13
My date table has every date from 2003/4 to 2034/35, along with custom period numbers, calendar and fiscal years etc. The column I am trying to sort is called PeriodFiscalYear. Each value in that column has only one entry in the PeriodOffset column so it's not that.
The weird thing is, I have had this working in a previous report. In this instance, I was simply trying to recreate the functionality but it won't do it. Even stranger, if I create the PeriodFiscalYear column as a calculated column (currently it's hard-coded in the csv file), it works! So I have a sort-of workaround, I would just like to understand what is going on.
Thanks
I believe this has to do with the fact that data column are sorted when data are ingested into PBI. Calculated columns are calculated only at a later time.
Therefore:
you can sort data column only with other data columns (because calculated columns have not been calculated yet)
you can sort calculated column with both data column and calculated column
Solution:
A) PeriodFiscalYear becomes a calculated column
B) PeriodOffset becomes a data column (either in your CSV or Power Query)
I actually figured this out. The problem was with my data model - I had a circular relationship in there as I was deriving the Period column in one table using my calendar table then linking them back in the relationship!
I created a linking table with the keys in both to make the relationship, then hid it.
Thanks
Related
I've got 3 tables. First is a date table that only has dates. Second is my actual values and third is my projected. Actuals and Projected are both related to the date table (1 to many single direction)
Trying to plot actual vs projected on a line graph, using the dates column from the dates table and a measure from each of the other two. This is my measure for actual values: count = calculate(counta(actual[product]))+0. The issue is then the graph shows 0s for all future dates where I only want my projected line to show up. Is there a different measure I can use to not show the 0 for the future date and be blank instead?
Try this
count = calculate(counta(actual[product]),
'Date'[Date] <= max(Date[Date)
)
Please note that Date: your calendar table,
[Date ] is column in side the Date table.
Please let me know if your issue has been resolved.
I am trying to write a code for a data table in Powerbi that averages values of a table but categorizes them based on ID and Project but at the same time exclude a value from another column. Below is what I am trying to accomplish. Excluding Type "II" and averaging the values based on category columns [ID] and [Project]
Below is the code I am trying to write. What would be the best solution?
AVG = Calculate(AVERAGEX(Filter(Table, Table[Type] <> "II"), Table[Values]), ALLEXCEPT('Table', 'Table'[ID], 'Table'[Project]))
It's probably extremely simple but I can't find an answer. I have created a new column and I would like to use the DAX syntax to fill the column with hardcoded values.
I can write this: Column = 10 and I will get a column of 10s but let's say my table has 3 rows and I would like to insert a column with [10, 17, 155]. How can I do that?
Try using DATATABLE function
Table = DATATABLE("Column Name",INTEGER,{{10},{17},{155}})
You can also put more columns with their own data if you want to, check this
https://learn.microsoft.com/en-us/dax/datatable-function
Assuming your table has a primary key column, say, ID, you could create a new table with just the column you want to manually input.
ID Value
---------
1 10
2 17
3 155
You can create this table either through the Enter Data button or create it using the DAX DATATABLE function as #Deltapimol suggests.
Once you have this table you can create a relationship to your existing table in the data model at which point you can either use this new table in your report to get the values you need or if you really need them in the existing table for some reason, you can pull them over using the RELATED function in a calculated column.
Table1 = GENERATESERIES(1, 3)
Table2 = DATATABLE(
"ID", INTEGER,
"Value" INTEGER,
{{1, 10},{2, 17},{3, 155}}
)
Now you can create a relationship from Table1 to Table2[ID] and then define a calculated column on Table1 as follows:
ValueFromTable2 = RELATED(Table2[Value])
If you don't want to create a relationship, then you could use the LOOKUPVALUE function instead in a calculated column on Table11.
I'm trying to get a sum of my sales figures by the product category from the a column in the same table
The original data is on the attached image.
Original Data
And what I'm trying to get is attached also and I am having trouble getting the right numbers for the last three columns
Result
I have tried the following code:
Boots_Sales = CALCULATE( SUM(Sheet1[Sales]), FILTER(Sheet1,Sheet1[Product_Type]="Boots"))
I have found a solution to the above by making a measure instead of a column with the below formula:
boot1 = CALCULATE(SUM(original[Sales]),FILTER(original,original[Product type ]="Boots"))
This will have to do, I was trying to make a column because I wanted to do further calculations on the column but will just have to convert the measure into a column
Thanks
This might be very basic but I am new to PowerBI.
How do I get average of values for unique ID into another table.
For eg. My Table 1 has multiple ID values. I have created another table for unique ID which I am planning to used to join other table.
I want a calculated column in table 2 which will give me average value of respective ID from table 1.
How do I get the calculated column like shown below
In stead of creating a new table with the averages per ID and then joining on that, you could also do it directly with a calculated column using the following DAX expression:
Average by ID = CALCULATE(AVERAGE('Table 1'[Values]),ALLEXCEPT('Table 1','Table 1'[ID]))
Not exactly what you asked for, but maybe it's useful anyway.
How's it going?
The quickest way I can think of doing this would be to use
SUMMARIZECOLUMNS
You can accomplish this by creating another table based on your initial fact table like so:
Table 2 =
SUMMARIZECOLUMNS ( 'Table 1'[ID], "Avg", AVERAGE ( 'Table 1'[Values] ) )
Once this table has been created, you can create a relationship.
This will work in either SSAS or in PowerBI directly.
Hope this helps!! Have a good one!!