Have calculate distinguish column values

[ThomasSan]

Hi everyone

In one of my dashboards, I am attempting to create a graph that looks as follows:

The idea is to compare the performance over the course of a year of multiple years.

To do that, I have set up the following visual:

My current measure looks as follows:

Test Measure = 
var curr =
CALCULATE(
    sum('Table'[SalesTotalEUR]),
    KEEPFILTERS(
        'Table'[Date]
    )
)

var refer =
CALCULATE(
    sum('Table'[SalesTotalEUR]),
    FILTER(
        ALL('Date'[Date]),
        Month('Date'[Date])=1
    )
)

var div=
DIVIDE(
    curr,
    refer,
    ""
)

return div 

My problem is that I am unable to keep my measure restricted to the year column. Therefore, all my January values (be they from 2021 or from 2022) are being used in my calculations. Can anyone therefore please tell me how to set up my measure so that it distinguished between the column values?

[ThomasSan · Accepted solution]

So, after some more researching and plenty of trials and errors, I was finally able to find the correct dax command for the problem It is as follows:

Test Measure = 

var yearselected=
SELECTEDVALUE('Date'[Date].[Year])

var curr =
sumx('Table', 'Table'[SalesTotalEUR])

var refer =
CALCULATE(
    sum('Table'[SalesTotalEUR]),
    FILTER(
        ALL('Date'[Date]),
        Month('Date'[Date])=1 && year('Date'[Date])=yearselected
    )
)

var div=
DIVIDE(
    curr,
    refer,
    ""
)

return div

As you can see, as SELECTEDVALUES that has to be brought in as a variable is needed.

The resulting visual looks as desired:

[AlexisOlson]

You shouldn't need a new measure to generate a chart like this. Put Month on the x-axis and Year in the Legend box like this:

[ThomasSan]

Hi @AlexisOlson ,

thanks for your reply. How would you set up your example to have your Sales Amount values normalized to 100 in January of every year? My goal is to show the relative change of my sales figures over the course of a year (e.g. sales grew by 10% in February 2021 (i.e. line goes to 110) while sales in February 2022 decreased by 6% (i.e. line goes to 94)). You can see what I mean in the graph above.

How would you approach this?

[AlexisOlson]

Ah, I missed that detail. Try this:

Normalized Sales = 
DIVIDE (
    [Sales Amount],
    CALCULATE (
        [Sales Amount],
        REMOVEFILTERS ( 'Date'[Month Number] ),
        'Date'[Month] = "January"
    )
)

The removes the month name and month number filter context without removing the year filter context.

[ThomasSan]

Hi @AlexisOlson ,

unfortunately, this only fills out the January cells in my table

I have slightly modified your command in order to fit my tables

Test 3 = 
DIVIDE (
    sum('Table'[SalesTotalEUR]),
    CALCULATE (
        sum('Table'[SalesTotalEUR]),
        REMOVEFILTERS ( 'Date'[Month Number] ),
        'Date'[Date].[Month] = "January"
    ),
    ""
)

Any idea how to have the CALCULATE section of your solution expanded to all cells?

[AlexisOlson]

I'm guessing your model doesn't have exactly the same columns with the same names as the file I was testing with. Do you have columns for month name, month number, and year in your date table? If so, what are they? If not, then my solution clearly won't work since it's referencing non-existing things.