I'm trying something very simple in DAX:
[Balance] := 'Inventory'[Inventory Amount]*10
I get a "column does not exist in current context" error. What does this mean?
You are getting this error because it was expecting an aggregate. You are creating a calculated measure but referring to a row and it doesn't have context for this row. I'm not sure what you are trying to achieve. If you need to calculate things on a row level, you'll need to use a SUMX (or you need to create a calculated column that multiplies the Inventory Amount column by 10 and then SUM it. Otherwise, you can use SUM with just one calc.
If you just need to add all the inventory amounts on every row in the query context and then multiply by 10, you can do
Balance:= SUM('Inventory'[Inventory Amount])
If the number you multiple will not always be 10, I suggest putting that formula in a separate calculated column (let's call it 'Inventory[Factor]. Then create a calculation like:
Balance:= SUMX('Inventory', 'Inventory'[Inventory Amount] * 'Inventory'[Factor])
The difference between these two is that the SUM will do the aggregation first. The SUMX will do the row-level calculation first and then aggregate. Since I don't know what you are trying to do, I gave you both options. SUMX will probably be slower, so you probably want to avoid that.
Here is a relevant blog post on the subject. In general check out PowerPivotPro.com and DaxPatterns.com when trying to find your way through DAX.
Related
I don't know if I even worded the question correctly, but I'm trying to create a measure that depends on what is showing in the pivot table (using PowerPivot). In the image I posted, "DealMonth" is an expression in the PowerQuery table itself that simply takes the start date of the employee and subtracts it from the month a deal was closed in. That will show how long it took for that salesperson to close the deal. "TenureMonths" is also an expression in the PowerQuery table that calculates the tenure of the person. The values populating this screenshot are coming from a total headcount measure created. What I'm trying to do is create a separate measure that will show when the "TenureMonths" is less than the "DealMonth." So if the TenureMonths is 5, then after DealMonth of 5, the value would be 0. Is this possible?
Screenshot
I should add the following information.
"DealMonth" - Comes from the FactData table
"TenureMonths" - Comes from the DimSalesStart table
These two tables are joined by name. I feel like I'm so close because I can see what I want. The second image below is a copy/paste of the pivot table result but with my edits to show what I'd want to have shown. Basically, if(TenureMonths >= DealMonth,1,0). The trouble seems to be that since they're in two different tables, I can't make it work. The rows in the fact table are transactions, but the rows in the dim table are just the people with their start and end dates.
Desired Result
This is possible with some IF([measure1]<[measure2],blank(),[measure1]), however without seeing more of the data it will be hard to guide you specifically.
However you need to create two separate measures, one for TenureMonths and one for DealMonth, depending on the data this can be done with an aggregator forumla such as sum, min, max, etc (depends if there will be more than one value).
Then reference those two measures in the formula pattern I mentioned above, and that should give you want you want.
I figured out a solution. I added a dimension table for DealMonth itself and joined to my fact table. That allowed me to do the formulas that I needed.
I have a table on azure following :
enter image description here
Can anyone help me to make a sum perday of number of users with flow power automate :
enter image description here
Thanks in advance
Ok, this is a monster of an answer but it works so follow closely.
Refer to the images for what to do.
The basic concept is, loop through all entities and fill an array with the distinct row keys. The way we determine if it's distinct or not is by adding the row key to an array IF it hasn't been added previously.
From there, we will loop through that distinct list and using an inner loop, we will sum each NumberOfUsers column IF the Inner Row Key matches the Outer Row Key that is being processed.
At the end of the outer loop, add an object to an array. That object has two fields, "RowKey" and "NumberOfUsers". The "NumberOfUsers" field contains the summation for that given RowKey.
From here, you have the distinct count.
If I've mis-used any fields (i.e. the use of RowKey) then change it up as need be.
This is just logic, you just need to apply it to the scenario. I think this is best done in an Azure Function because it'll run faster and be a lot less to maintain but if you want to avoid that and use PowerAutomate, this works.
Flow
Data / Table
Result
My company has tasked with slicing the information on turnover and to create different graphs.
My source data looks like this: Relevant columns are: Voluntary/Involuntary, Termination Reason, Country, Production, and TermDateKey
I am trying to get counts using different filters on the data. I managed to get the basic monthly total using the formula:
Term Month Count = GROUPBY('Turnover Source','Turnover Source'[TermDateKey],"Turnover Total Count", COUNTX(CURRENTGROUP(),'Turnover Source'[TermDateKey]))
This gave me a new sheet with the counts for each month.
Table that shows TermDateKey on Column 1, and Counts on column 2
I am trying to add onto this table by adding counts but using different filters.
For example, I am trying to add another column that gives me the monthly count but filtered for 'Turnover Source'[Voluntary/Involuntary]=="Voluntary". Then another column for 'Turnover Source'[Voluntary/Involuntary]=="Involuntary" and so on. I have not found anywhere that shows me how to do this and when I add in the FILTER function it says that GROUPBY(...) can only work on CURRENTGROUP().
Can some one point me to a resource that will give me the solution I need? I am at a loss, thank you all.
It looks like you may not be aware that you don't have to calculate all possible groupings with DAX formulas.
The very nature of Power BI is that you use a column like "Termination Reason" on an X axis or in the legend of a visual. Any measure that you have created on values of another column, for e.g. a count of all rows, will then automatically be calculated to be grouped by the values in "Termination Reason", giving you a count of each of the values in the column.
You do NOT need DAX functions to calculate the grouping values for each measure for each column value combination.
Here is some simple sample data that has been grouped into dates and colours, one chart showing a count of each colour and one chart showing a sum of the Value column. No DAX was written for that.
If your scenario is different, please explain.
In QuickSight, when you want to define a constant value to reuse it in visualizations later, you can try to set it as:
Calculated field: goalFor2020
Formula: 20000
But right now it doesn't allow you to put just a number in the formula.
Is there any way to do achieve having just a number in the formula of a calculated field?
The reason we need it is just to have a number that doesn't depend on any data, just manually defined by us.
Interesting, QuickSight lets me insert a number into a calculated field, just fine.
Since that isn't working for you, I'd recommend using a parameter with a default value. For example,
Parameters essentially has the same "rights" as a calculated field (it can be used in visuals, other calculated fields, etc...). It can also be passed via query parameters which may or may not be a feature that you'd find useful.
Another cool benefit of using parameters is that, if you're embedding QuickSight, you could retrieve this value dynamically and pass it to the dashboard. Then if you wanted to, say, generalize your for different yearly goals, the goal could be passed and dynamic (rather than hard-coded in a calculated field).
We could achieve it with a trick, just apply some function that returns a number to one of your columns, and make it 0, then add your constant number:
Calculated field: goalFor2020
Formula: count(email) * 0 + 20000
It does the trick, but there might be a better way to do it.
I have tried something like this:
distinct_countIf({dimension},{dimension}='xxx')*
+distinct_countIf({dimension},{dimension}='xxx')*
just makes the discount_countif meet the requirement, so it will return to 1. And use 1* the number you want to hardcode. If the requirement does not meet, it will return 0 so it won't add up the number
I have a PowerPivot table for which I need to be able to determine how long an item was in an Error state. My data set looks something like this:
What I need to be able to do is to look at the values in the ID and State columns, and see if the value in the previous row is ERROR in the State column, and the same in the ID column. If it is, I then need to calculate the difference between the Changed Date values in those two rows.
So, for example, when I got to row 4, I would see that the value in the State column for Row 3, the previous row, is ERROR, and that the value in the ID column in the previous row is the same as the current row, so I would then calculate the difference between the Changed Date values in Row 3 and Row 4 (I don't care about the values in any of the other columns for this particular requirement).
Is there a way to do this in PowerPivot? I've done a fair amount of Internet searching, and it looks like if it can be done, it would use the EARLIER or EARLIEST DAX functions, but I can't find anything that tells me how, or even if, this can be done.
Thanks.
Chris,
I have had similar requirements many times and after a really long time of trial-and-error, I finally understood how EARLIER works. It can be very powerful, but also very slow so always check for the performance of your calculations.
To answer your question, you will need to create 4 calculated columns:
1) Item Rank - used for ranking the issues with same Item ID
=COUNTROWS(FILTER('ID', EARLIER([Item ID]) = [Item ID] && EARLIER([Date]) >= [Date]))
2) Follows Error - to easily find issue that follows EROR issue
=IF([State] = "EROR",[Item Rank]+1)
3) Time of Following Issue - simple lookup so that you can calculate the different
=IF([Follows Error]>0,
LOOKUPVALUE([Date], [User], [User], [Item Rank], [Follows Error]),
BLANK()
)
4) Time Diff - calculation of time different for the specific issue
=IF([State]="EROR",
DAY([Time of Following Issue])-DAY([Date]),
BLANK()
)
With those calculated columns, you can then easily create a powerpivot table, drag State and Item Id onto the ROWS pane and then simply add Time Diff to Values. You will get an overview of issues that contain string "EROR" issue and the time it took to resolve them.
This is what it looks like in PowerPivot window:
And the resulting Pivot table:
You can download my Excel file here (2013).
As I mentioned, be careful with the performance as the calculated columns with nested EARLIER and IF conditions might be a bit too performance-demanding. If there is a smarter way, I would be very happy to see it, but for now this works for me just fine.
Also, keep in mind that all calculated columns could be nested into 1, but I kept them separated to make it easier to understand the formulas.
Hope this helps :-)