I'm working on a BI project with Visual Studio and Power BI.
I get the sales of several stores and in Visual Studio I made a column calculated with the following formula :
=
SWITCH (
TRUE(),
Y2_Sales' [storename] = "UK-RC O/O NEWQUAY", Y2_Sales [SalesExGST] / 0.8564058469475494,
'Y2_Sales' [SalesExGST]
)
To explain I get the sales in GBP and as soon as the store is Newquay I convert these values into euros to display them in my Power BI report.
The problem is that the value I put in hard is a value that moves every week, you can find it here :
https://www.xe.com/fr/currencycharts/?from=EUR&to=GBP&view=1D
Is it possible to modify this value dynamically by having historical exchange rates?
I don't quite understand why you want a calculated column, wouldn't a measure for euros be easier? Then you could declare your change rate as another measure and make the whole thing dynamic. You may need to use a disconnected table and selected measures to get the result you want, have a look at sumproduct for that https://www.sumproduct.com/blog/article/power-pivot-principles/ppp-variables-and-disconnected-tables-in-power-bi it looks like you're most of the way there, just lose the calculated column and go all measure!
Related
I am trying to create a measure which calculates the average daily revenue per customer, but only using days in a 6 months period prior to a specific date (where some type of conversion happens).
This specific date can be different for each customer.
The intention is to use the measure as a baseline for indexing daily average in the days/months/years after said conversion date.
If I put my current version of the measure in a card it works just fine (circled in green). But I will eventually have to visualize this over time as well. Thus I need the value to stay the same regardless of the row/date context in a table or timeline (circled in orange).
I suspect I need to use one of the ALL/ALLSELECTED/ALLEXCEPT filter modifiers but I can't really get anything to work.
The measure looks like this for now:
Average daily rev before conversion = CALCULATE (
AVERAGEX(
VALUES('Date'[Date]),
[HI & Acc Rev]
),
FILTER('poc vFact_SalesLine','poc vFact_SalesLine'[OrderDate_ID] IN DATESINPERIOD('Date'[Date],FIRSTNONBLANK('poc vDim_Customer'[DSE first conversion date],1),-6,MONTH)))
I've tried adding REMOVEFILTERS('Date'[Date]) just before the filtering of order dates, but that doesn't work. Gives me the exact same values as shown below.
All help is very welcome? Is my approach all wrong?
I have a bunch of statistical data that I have chopped up and pieced together in power query. In looks like there is category missing from the Database. To fill in the gaps I am trying to take the grand totals which are correct (red), subtract from that what I know to be correct, with the remaining numbers giving me my answer (orange).
The correct data starts with I1, I2, I3, I4, so possibly a grand total of these, by state.
At the moment this is filled by the following formula in excel;
=E53-SUMIFS($E$5:$E$44,$B$5:$B$44,B45,$C$5:$C$44,C45,$D$5:$D$44,D45)
Any help with how the heck I can do this in power query. I realise I cant use the same formula but any ideas would be much appreciated. I can change the text in red to total if that helps in some way?
Thanks
Here's one potential way. If you start with your spreadsheet set up similar to this:
I only used a subset of your StateIDs from your example and generated my own Values for this example. And the figures in the Available column would be from your red section.
Then add the table from the spreadsheet to Power Query (in Excel, you would click on the table and then Data > From Table/Range > Select My table has headers and click OK).
In Power Query:
You'll probably have to change the TimeID type to date if you want to use the dates for anything, because it will probably come in as date-time type--I won't use the dates here though, so you could skip changing the type (otherwise, right-click the TimeID column > Change Type > Date)
Then use Group By to aggregate values and set the stage for the calculation you want (select the StateID > Group By > and setup the groupings like below and click OK)
You should see something like this:
Then add a new column with your calculation (Add Column > Custom Column > Set it up like below and click OK)
You should see something like this:
The requirement:
My users want a slicer which displays the dimensions of a data table they can then select from and have the dimensions display in a corresponding matrix visual along with two measures, Sales TY and Sales LY.
Progress so far.
I’ve achieved this by taking the table, selecting the column which indexes the table and unpivoting the rest of the columns. Next I place a slicer on the report and attach it to the unpivoted table’s Attributes field (now renamed as ‘Column’). Finally, I add a matrix visual to the report and add to it the unpivoted table fields Column, Index and Value fields. Now when I click on the slicer, whichever dimensions I select appear in the matrix.
The problem:
However, when adding the measures previously created (Sales TY and Sales LY) to the matrix, each measure is repeated after every column selected for display, whereas I only want the measures to display once.
Does anyone know if this possible? I’ve tried a number of approaches but nothing seems to work. I’m a new user so apologies if this is an FAQ I’ve yet to come across or I’m doing something glaringly obviously wrong. As I say I’m only just starting out in DAX and Power BI. I’m looking pretty hard at table functions and the Switch statement with the hope of calculating the solution somehow but haven’t managed it yet. Any advice, steer or comment greatly appreciated, thanks.
I have a percentage measure calculated in SSAS tabular and its correct.
But when i use it in a report i face the following problem (in all percentage measures).
the values under male and female (which are subgroup of saudi and non-saudi) are correct but if you look at the total under "Both sexes" it is incorrect,because it shows summation of male and female percentage, where the right thing is it shows the percentage of the saudi or non-saudi.
If i calculate the measure in SSRS in the expression fields i get it right as follows
But i want to use the measure to show the right values.
So.. can anyone help me with this i have serious issues in later reports and i just cant simply recalculate the SSAS measures in SSRS using expressions.
Note: dont mind the decimal places differences between the two pics.
Thank you.
You can change your MDX query in SSRS to return the subtotal rows then change your Textbox formulas in the body of the Report to say =Aggregate instead of =Sum. This process is described more here by Stacia. You can use manual MDX queries. Don't miss the comment at the bottom:
Romuald Coutaud March 17, 2011 at 7:52 pm Hi Stacia,
In fact, it works in query mode too in 2008R2. But, I have to admit
that the way that RS and AS work together when you want to use
aggregate function is very difficult to perfectly understand and I
have struggle very long time to make one sample report running in this
way. In query mode you need to write MDX by referencing each level of
the hierarchies from the top one to the deepest one want to display in
your report, even you don’t need to use all these ones. As an example
you have to put Year, Quarter and Month to be sure to display Month
and be able to use aggregate function.
Basically in your report =Aggregate will try to retrieve a row where Nationality is not null and Gender is null. If you get stuck please write back with the list of each field used in each group in SSRS and a screenshot of the MDX query designer.
A few references:
Microsoft's documentation on DATESBETWEEN.
Somewhat similar question, though the answer and derivatives of the formula don't return the correct results.
Microsoft's documentation on TODAY
Per the above Microsoft documentation, I'm trying to get a calculation for the last three months based on today's current date in SSAS Tabular model. First, I have no idea how to use SSAS and my company doesn't provide any learning material, so I've been reading through the MSDN documentation, which may not be the place to start, so if this is wrong, I'd appreciate being told so. For instance, with C# or Ruby, I can test code in a console to see if I get the result that I want, and I don't see how I can do that in SSAS Data Tools' DAX language - this is a GUI which gives users very little power over what they can do (it took me four hours to figure out how to access a dimension's properties). I am definitely a code monkey.
I tried using the below formula (and derivatives of it) because this is what it looks like Microsoft is doing in their example:
3MonthValue:=CALCULATE(SUM([MeasureOne])/SUM([MeasureTwo]),DATESBETWEEN(DateDimension[Date],DATEADD(DateDimension[Date],-3,MONTH),TODAY()))
The result, nothing. Of course, if I run similar SQL logic, I get the right results. I also used the provided SO example, though I suspect that's not exactly what I'm trying to achieve, and only obtained blanks as answers. Given that I need to calculate a formula between a certain time frame, which in SQL would be the WHERE clause, how do I translate this into DAX? In other words, what is DAX's WHERE and if CALCULATE isn't right, what's the correct approach?
When you say it isn't working, how do you mean? The formula you are using refers to your date dimension's key as the starting date for your DATESBETWEEN function - this means if you are expecting the measure to populate a value, you'll need to be using a particular date in your pivot to establish context.
If you are trying to view the measure at design time, in the editor, there is no context so the measure wont populate.
Moreover, if in a pivot you're looking at a time context that includes more than one date, that also will not work. So say you are looking at a month, or a quarter. Both of these encompass what amount to multiple DateDimension[Date]'s - so again context cannot be established.
so to recap - measures which look at date ranges like DATESBETWEEN using a starting time context that is set to your dimensions time key will only show up in a pivot when the pivots data is filtered to a single date.
You can test this using the same function, but hard set the starting date by replacing DateDimension[Date] with a static date (or possibly TODAY()). The measure should show up in design time because the formula has all the information it needs to complete the calculation.