cancel
Showing results for
Did you mean:

Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.  Helper III

## Incorrect result - SUMX two tables

Hi all,

I am working with SUMX for the first time and with two different tables.

Yes, I have look at other similar posts, and my formula isn't throwing errors, but it isn't getting the correct result.

I have two tables - Dimensions has a SKU number, height, weight, length and width. Each SKU is unique

Orders has Order Number, SKU number, quantity, and then several other columns not needed for this calculation.

I am trying to figure out the average weight of orders per day.

Here is my formula -

New Measure Try = sumx(Orders, Orders[Quantity] * AVERAGE('Dimensions'[weight]))

This is getting larger numbers than when I do it in Excel. Is the "Average" the issue? I can't seem to tell it to do SUMX without using some kind of calculation for the second table. The two tables have a one-many relationship, with Dimensions being the one.

Any help is super appreciated!
1 ACCEPTED SOLUTION  Super User

Hi @Thigs

Based on what you've described, here is what I would suggest if I were creating these calculations:

Create these measures:

``````Order Quantity =
SUM ( Orders[Quantity] )``````
``````Total Weight =
SUMX (
SUMMARIZE ( Orders, 'Dimensions'[weight] ),
'Dimensions'[weight] * [Order Quantity]
)``````

The Total Weight measure takes the distinct weights for SKUs appearing in the Orders table, and multiplies these by the corresponding Order Quantity and sums.

Then for the average weight, did you want the average weight per order?

You would first need a measure that returns the Order Count, either by counting distinct Order Numbers, or counting rows of Orders (whichever is correct), i.e.:

``````Order Count =
DISTINCTCOUNT ( Orders[Order Number] )``````

or

``````Order Count =
COUNTROWS ( Orders )``````

Then the average weight per order would be:

``````Order Average Weight =
DIVIDE ( [Total Weight], [Order Count] )``````

Does the above help get the result you were looking for?

Regards,

Owen

Owen Auger
Blog
2 REPLIES 2  Super User

Hi @Thigs

Based on what you've described, here is what I would suggest if I were creating these calculations:

Create these measures:

``````Order Quantity =
SUM ( Orders[Quantity] )``````
``````Total Weight =
SUMX (
SUMMARIZE ( Orders, 'Dimensions'[weight] ),
'Dimensions'[weight] * [Order Quantity]
)``````

The Total Weight measure takes the distinct weights for SKUs appearing in the Orders table, and multiplies these by the corresponding Order Quantity and sums.

Then for the average weight, did you want the average weight per order?

You would first need a measure that returns the Order Count, either by counting distinct Order Numbers, or counting rows of Orders (whichever is correct), i.e.:

``````Order Count =
DISTINCTCOUNT ( Orders[Order Number] )``````

or

``````Order Count =
COUNTROWS ( Orders )``````

Then the average weight per order would be:

``````Order Average Weight =
DIVIDE ( [Total Weight], [Order Count] )``````

Does the above help get the result you were looking for?

Regards,

Owen

Owen Auger
Blog  Helper III

Ah! Perfect! Thanks SO much! Announcements #### Power BI Monthly Update - November 2023

Check out the November 2023 Power BI update to learn about new features. #### Fabric Community News unified experience

Read the latest Fabric Community announcements, including updates on Power BI, Synapse, Data Factory and Data Activator. #### The largest Power BI and Fabric virtual conference

130+ sessions, 130+ speakers, Product managers, MVPs, and experts. All about Power BI and Fabric. Attend online or watch the recordings. Top Solution Authors
Top Kudoed Authors
Users online (2,081)