Forum Discussion
Sum with Grouping
- 10 years ago
Are the groups static, or do they need to be dynamic based on a user selection?
If they're static, it's easy. Make a new field (preferably at your data source if you can, else in a query (e.g. in Power Query) before the data is added to the Power Pivot model) with those groups. Then you can just create visualizations against the new field that contains the group.
If they must be dynamic based on user selection, you'll have to give us some more detail on what your expected use case is, and the solution will be a bit more complex.
Hi everyone again,
I am being tasked with producing some financial reports using Power BI. One of the reports is Receivable Aging. The two columns to be used in the Receivable Aging report are Amount Due and Due Date. The Aging periods are 0-30 Days, 31-60 Day, 61-90 Days, Over 90 Days.
I was able to extract the aging days, DurationDays, for each row, but I don't know how to create new tables for each of the aging periods.
My previous example has been simplified. The example below is much more realistic:
Amount Due Due Date
$100 1/16/2016
$200 2/16/2016
$300 5/14/2015
$400 7/25/2014
$500 1/9/2016
$600 5/12/2015
$700 6/4/2016
Expected Report:
Aging Amount
0-30 $500
31-60 $0
61-90 $0
Over 90 $1,300
Also, would you recommend a book on DAX, Power Query, with an emphasis on programming?
Many thanks for your help again.
- greggyb10 years agoResident Rockstar
Create a new field using Power Query when you're importing data.
Add a custom column using the following Power Query code:
let diff = Number.From( DateTime.Date( DateTime.LocalNow() ) - [DueDate] ) ,Bucket = if diff < 31 then "0-30" else if diff < 61 then "31-60" else if diff < 91 then "61-90" else "Over 90" in BucketThis assigns the difference in days between the date of model processing (assuming you process daily, this means today's date) and the due date to the local variable, diff.
Bucket is then assigned a text value based on the value of diff. This gives you labels which can be used for any measures in your model.
I'd recommend assigning an integer key to each of the buckets and having the labels in a separate dimension, but that's up to you. You can use the same logic for both key and label.
- VinhDam10 years agoNew Member
Hi Greg,
Since the function DateTime.Date(DateTime.LocalNow() - [Due Date]) will also return negative values--payment not due yet, I have to take out all the negative values. I change the condition to "if ((diff = 0) and (diff < 31))" but it did not work. What is the correct syntax for this "if and" expression?
Thanks
- greggyb10 years agoResident Rockstar
You can just add one more step to the if-then chain of statements in my originally suggested Power Query code:
let diff = Number.From( DateTime.Date( DateTime.LocalNow() ) - [DueDate] ) ,Bucket = if diff < 0 then null else if diff < 31 then "0-30" else if diff < 61 then "31-60" else if diff < 91 then "61-90" else "Over 90" in Bucket'let' defines a local namespace, in which we can assign values to variables. The first we assign is the variable name 'diff' to the result of the calculation of the number of days between today and the due date.
We then refer to the value represented by 'diff' repeatedly in our definition of the next variable, 'Bucket'. Bucket stores a null or a text string based on the result of evaluating the if-then-else chain of statements, terminating on the first condition that returns true. I simply added one more check before all the others for a 'diff' value of < 0, in which case we return null.
to end the let statement, we use 'in', where we can define the output of the result of some calculation in that namespace. In our case we return the value of the variable 'Bucket'.
This entire statement is run once per row in the table, with the let statement being evaluated in the context of the values in that row.
- Greg_Deckler10 years agoCommunity Champion
The DAX version of this is:
Aging = IF(TODAY()-[Due Date]<=30,"0-30",IF(TODAY()-[Due Date]<=60,"31-60",IF(TODAY()-[Due Date]<=90,"61-90","Over 90")))
One note, this DAX version, nor I believe the "M" version from greggyb will give you the $0 values. So if you only have buckets of "0-30" and "Over 90", you will not see the "31-60" and "61-90" categories with $0. There are a number of techniques around that, you could create a separate "Enter data" query to add in a $0 value that falls into each category and merge it with your data feed for example, then you would ensure that you have all of the categories listed but it wouldn't affect your final sums.
See the comments area from my recent blog post, there is discussion around good DAX resources, etc.
- greggyb10 years agoResident Rockstar
Greg_Deckler Just FYI, the Tabular storage engine can perform better compression on "native" columns than it can on calculated columns. Generally it is best practice to perform all ET before the L into the data model.
- Greg_Deckler10 years agoCommunity Champion
greggyb No argument there, however, as an end-user focused tool, I think it is useful to present DAX solutions as well. DAX is a language that someone with passable Excel formula skills can master relatively easily. "M" on the other hand requires more of a coding background in my opinion and has a significantly higher learning curve.
I don't tend to be a fan of absolutes. If I am building a model for a customer, I have to take into consideration their ability to maintain it and extend it over time. In addition, there is the case where if I am going to have to use DAX, as is sometimes the case, I'll often end up doing it all in DAX from a simple maintainability perspective. Nobody likes to work on a product that is half written in C#, half in Java and half in Perl, that's just not enterprise grade.
I think it is a good idea to remember the target audience for this community, not everybody is a pure BI professional and there are multiple things to take into consideration rather than a few select people deciding on a "best practice". "Best practice" for IT professionals, sure, "best practice" for your standard business end user, not necessarily.
It's always good to have multiple options and perspectives.
- MojoGene10 years agoPost Patron
Smoupre: Appreciate all your help on this forum!
I am trying to follow your instruction here. My DAX command looks like this:
Aging = IF(TODAY()-jvw_Bill_AR_List[DaysOverdue]<=30,"0-30",IF(TODAY()-jvw_Bill_AR_List[DaysOverdue]<=60,"31-60",IF(TODAY()-jvw_Bill_AR_List[DaysOverdue]<=90,"61-90","Over 90")))
(The table is "jvw_Bill_AR_List" and the column is "DaysOverdue".)
When I do this, I encounter the error message:
"A single value for column "DaysOverdue" in table "jvw_Bill_AR_List" cannot be determined. ...(etc.)"
Any advice? Thanks.
- Sean10 years agoCommunity Champion
MojoGene Are you trying to create a Column or Measure?
This should work if you are trying to create a Column!
Look at my answer here...
http://community.powerbi.com/t5/Desktop/Combining-2-different-if-statements-in-one/m-p/31388#M10802