I'm reproducing an income statement from Excel into Power BI.
The generic structure of the income statement is like this:
My datasource is a SQL database and I've desined my table like this:
In Power BI, I've created a Pivot Table, and pulled in the relevant columns, but I still need to show NOI, and Net Income, which are measures.
How do I show these measures within the table itself?
Thank You.
Related
I have a dataset consist of two time series: e.g. Historical stock prices for Apple and Microsoft. And I have a few different power BI measures created for each of these two stocks (e.g. Weekly Return, Monthly Return).
I want to create a "Matrix"-like visual, to show:
stock names as the row headers
measures as the column headers
values being the corresponding measure value for the given date selected on a date slicer
To illustrate what I want to do, please see the picture from Excel as an example. Is there a convenient way to do this in Power BI?
Thank you very much for your help!
Excel illustration on what the visual should look like in Power BI
I'm new to DAX so please bear with me.
Can I use the IN operator in DAX to create a query directly in Power Bi desktop?
For example, the screenshot below displays over 120 curencies in DimCurrency.CurrencyName. Is it possible to create a DAX query where I can include all my filters using IN operator?
For example, maybe something like this?
CALCULATE (
[Sales Amount],
Products[Color] IN { "Red", "Black" }
)
The reason I'm interested in using DAX is because my current filter has over 200 different items, so I don't want to scroll through the 200-item list and select 5 different items.
This is a data modeling problem. In Dimensional Modeling terms your Dimension needs some additional attribute hierarchies to drive the filtering. This is just like why a Calendar table doen't just have a Day column, it needs Month, Year, Quarter, so you don't have to select all the individual Days.
Basically DimCurrency needs an additional column, so that you can include those 50 currencies by selecting fewer values of that new column.
One way to modify your data model is with DAX calculated columns, with an expression of the form
IsFacoriteCurrency = 'DimCurrency'[CurrencyName] in {"Algerian Dinar","Argentine Peso"}
you can also modify the data model in the data source or in Power Query.
I am connecting PBI to Snowflake using DirectQuery. To keep it simple, I have two tables, a product dimension table and a sales fact table. There are 3.7M rows in the product dimension table and 100M in the sales fact table. I also have a measure that calculates total sales which uses SUM to sum a column in the fact table.
I create a table visual in PBI and put the product description as the first column. The query generated by PBI is good. It retrieves 501 rows and displays them. So far, so good. Next I put the total sales measure as the second column. Now PBI generates several queries retrieving 1,000,001 rows. Of course I get an error stating the 1M row limit for DirectQuery has been reached.
This should not be happening. Has anyone run into something like this? Is there anything I can do?
I had a dig around and there is a capability to adjust the limit if you have a premium license
https://powerbi.microsoft.com/en-gb/blog/five-new-power-bi-premium-capacity-settings-is-available-on-the-portal-preloaded-with-default-values-admin-can-review-and-override-the-defaults-with-their-preference-to-better-fence-their-capacity/
I have a table with a column named Brand. This column contains ours as well as our competitors' product name. I am trying to calculate the price difference of our product with each of our competitor's products.
What DAX function should I use? Also, IF() is not allowing to create measures without any aggregation function.
Try and refer below links posted in power bi community.
https://community.powerbi.com/t5/Desktop/IF-Statement-Power-BI-Desktop/td-p/32306
https://community.powerbi.com/t5/Desktop/IF-statement-in-dax/td-p/524310
https://community.powerbi.com/t5/Desktop/Multiple-IF-statement-DAX/td-p/982633
https://learn.microsoft.com/en-us/dax/if-function-dax
And try conditional columns in transform data section
I’m new to Power BI. Currently facing similar issue explained below in my product development.
I have created power bi modle with below dimensions and facts from adventureworksDW.
Then I created a calculated table, which gives result as sum of sales group by ProductSubCategory and ProductCategory. Below is the DAX for the calculated table.
Now I want to create a new calculated table, which gives me TOPn ProductSubCategory based on the Total sales amount.
Below is the DAX to do this.
and model relationships looks like below.
I want this TOPn rows to be displayed based on filter condition on product category. Something like below.
This works fine when I hardcode the product category value in the DAX itself. But if I want to change this product category values from the slicer selection, then I didn’t get any results.
What you are asking for is not possible as Power BI is currently designed. Slicers cannot affect calculated tables. Calculated columns and calculated tables are evaluated once when the data is first loaded and are static until the data is refreshed.
However, you can get the table visual you want in a much simpler manner by writing the appropriate measure and putting that in the table instead of defining an entirely separate table.
TotalSales = SUM(FactInternetSales[SalesAmount])
The Top N filtering is available in the visual level filters settings.
You can simply use the SELECTEDVALUE function as shown below.
var __SelectedValue = SELECTEDVALUE('ProductSales'[EnglishProductCatogaryName])
return
Filter(
'ProductSales',
'ProductSales'[EnglishProductCatogaryName] = __SelectedValue
)
)