Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Be one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now

Reply
jhlatinia
New Member

Average between two columns not correct

Hello,

I've been trying to calculate the average of the division of 2 columns in PowerBi Desktop and not receive the right results.

2022-11-21 13_43_31-Lead Gen - Power BI Desktop.png

As you can see the column CTR is returning 0,66% for the first line, when it should be: 0.58%

And it return 0,80 for the second, when it should be 0,83.

My Column CTR is :

CTR = DIVIDE(LinkedInAds[Clicks],LinkedInAds[Impressions],0)
Thank you for your help.
1 ACCEPTED SOLUTION
v-jianboli-msft
Community Support
Community Support

Hi @jhlatinia ,

 

The result you get is incorrect is because it is the sum of all rows. In other words, they calculate the percentage of each row first and then sum it, which gives a different result than summing and then calculating the percentage.

Please try:

CTR = 
VAR _a =
    SUMMARIZE (
        'Table',
        'Table'[Campaign Group Name],
        "CTR",
            DIVIDE (
                CALCULATE (
                    SUM ( 'Table'[Clicks] ),
                    FILTER (
                        'Table',
                        [Campaign Group Name] = EARLIER ( 'Table'[Campaign Group Name] )
                    )
                ),
                CALCULATE (
                    SUM ( 'Table'[Impressions] ),
                    FILTER (
                        'Table',
                        [Campaign Group Name] = EARLIER ( 'Table'[Campaign Group Name] )
                    )
                )
            )
    )
RETURN
    AVERAGEX ( _a, [CTR] )

Final output:

vjianbolimsft_0-1669620580276.png

Best Regards,

Jianbo Li

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

7 REPLIES 7
v-jianboli-msft
Community Support
Community Support

Hi @jhlatinia ,

 

The result you get is incorrect is because it is the sum of all rows. In other words, they calculate the percentage of each row first and then sum it, which gives a different result than summing and then calculating the percentage.

Please try:

CTR = 
VAR _a =
    SUMMARIZE (
        'Table',
        'Table'[Campaign Group Name],
        "CTR",
            DIVIDE (
                CALCULATE (
                    SUM ( 'Table'[Clicks] ),
                    FILTER (
                        'Table',
                        [Campaign Group Name] = EARLIER ( 'Table'[Campaign Group Name] )
                    )
                ),
                CALCULATE (
                    SUM ( 'Table'[Impressions] ),
                    FILTER (
                        'Table',
                        [Campaign Group Name] = EARLIER ( 'Table'[Campaign Group Name] )
                    )
                )
            )
    )
RETURN
    AVERAGEX ( _a, [CTR] )

Final output:

vjianbolimsft_0-1669620580276.png

Best Regards,

Jianbo Li

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

v-jianboli-msft
Community Support
Community Support

Hi @jhlatinia ,

 

What does your Start Date look like? What is the relationship between the date and the value?

Sorry for that the information you have provided is not making the problem clear to me. Can you please share more details to help us clarify your scenario?

Please provide me with more details about your table and your problem or share me with your pbix file after removing sensitive data.

 

Refer to:

How to provide sample data in the Power BI Forum

How to Get Your Question Answered Quickly

 

Best Regards,

Jianbo Li

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Hi,

2022-11-23 11_57_08-LinkedInAds - Excel.png

This is the format.

v-jianboli-msft
Community Support
Community Support

Hi @jhlatinia ,

 

Are you trying to calculate the average of the CTR?

Here is my sample:

vjianbolimsft_0-1669106549646.png

Please try:

Measure =
VAR _a =
    SUMMARIZE (
        'LinkedInAds',
        LinkedInAds[Group Name],
        "CTR",
            DIVIDE (
                CALCULATE (
                    SUM ( LinkedInAds[Clicks] ),
                    FILTER ( 'LinkedInAds', [Group Name] = EARLIER ( LinkedInAds[Group Name] ) )
                ),
                CALCULATE (
                    SUM ( LinkedInAds[Impressions] ),
                    FILTER ( 'LinkedInAds', [Group Name] = EARLIER ( LinkedInAds[Group Name] ) )
                )
            )
    )
RETURN
    AVERAGEX ( _a, [CTR] )

Final output:

vjianbolimsft_1-1669106664162.png

Best Regards,

Jianbo Li

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

The measure look right, may I had, that Impressions or clicks are the sum of each lines of the last 7 days.

Meaning, I filtered by Start Date which doesn't show in the image, does it change the measure?

 

Sorry I'm quite new to all of this! And thank you for your help, really appriciated :).

Greg_Deckler
Super User
Super User

@jhlatinia Are Impressions and Clicks measures? If so, what are the formulas?



Follow on LinkedIn
@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
Power BI Cookbook Third Edition (Color)

DAX is easy, CALCULATE makes DAX hard...

@Greg_Deckler, no they are normal number column data.

Helpful resources

Announcements
Las Vegas 2025

Join us at the Microsoft Fabric Community Conference

March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!

November Carousel

Fabric Community Update - November 2024

Find out what's new and trending in the Fabric Community.

Dec Fabric Community Survey

We want your feedback!

Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.