Forum Discussion
Need help please.
I am struggling to write a Dax function that returns the outstanding balance after doing some filtration. In the dataset below, I want to get the outstanding balance after doing this filtration (current date-registration date-upfront_days_included >=30). Return all those outstanding balance after doing this ....today minus registration date minus upfront days included >=30).
I basically need a dax function to do this for me. Find below a snapshot of the data. God bless you!!
I believe the DAX should be something like:
Measure = VAR __Table = ADDCOLUMNS( 'Table', "Selector",(TODAY() - [registration_date_utc]) * 1. - [upfront_days_included] ) RETURN SUMX(FILTER(__Table,[Selector] >= 30),[Outstanding_balance])
9 Replies
I want to calculate the potfolio at risk which is the outstanding balce for accounts that have been disabled for 30+ days divided by all the outstanding balnce of enabled and disabled accounts. When a user register an account, the user will get a minimum of 7 days to use the product before it switches to disbaled mode. However, the user will get more than 7 days to use the product if the upfront price is grater than the minimum upfront price. To get an accurate Portfolio at risk, I will have to filter out new accounts because I will not know if they are bad or good customers that is why I needed to do some filteration. Before including an account in my PAR calculation, I need to make sure that the current date minus the registration date minus the upfront days is grater than or equal to 30.
I believe the DAX should be something like:
Measure = VAR __Table = ADDCOLUMNS( 'Table', "Selector",(TODAY() - [registration_date_utc]) * 1. - [upfront_days_included] ) RETURN SUMX(FILTER(__Table,[Selector] >= 30),[Outstanding_balance])Hi Greg_Deckler , Anonymous I want to calculate the potfolio at risk which is the outstanding balance for accounts that have been disabled for 30+ days divided by all the outstanding balance of enabled and disabled accounts. When a user register an account, the user will get a minimum of 7 days to use the product before it switches to disabled mode. However, the user will get more than 7 days to use the product if the upfront price is grater than the minimum upfront price. To get an accurate Portfolio at risk, I will have to filter out new accounts because I will not know if they are bad or good customers that is why I needed to do some filtration. Before including an account in my PAR calculation, I need to make sure that the current date minus the registration date minus the upfront days is grater than or equal to 30.
emmanuelkamara1 - So was my DAX formula correct because:
"Before including an account in my PAR calculation, I need to make sure that the current date minus the registration date minus the upfront days is grater than or equal to 30."
Unless I'm mistaken, that's what the DAX was doing.
Perhaps we need to backup. Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
- This is not clear. Please follow this post to maximize the chances of answers:
https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
