How to avoid weeks being cut short by the month?

[x-datita]

Hello!

I would like to know if it is possible to avoid having duplicate weeks, by taking the data at a granularity level from month to week?

For example, in the graph it shows week 5 in both January and February, and it looks like sales fell in the last week of January, when they did not. The x-axis is Month and week

The dax I use is a calculation of sales for the current year:
Sales curr year = CALCULATE ([Sales], FILTER ( 'Calendar', 'Calendar'[Offset Year] = 0 ))

[Anonymous · Accepted solution]

Hi @x-datita 

Please try this:

I create a set of sample:

Then create a measure:

Measure = 
	VAR _currentweek = MAX('Table (2)'[week])
	RETURN
		CALCULATE(
			SUM('Table (2)'[value]),
			FILTER(
				ALLSELECTED('Table (2)'),
				'Table (2)'[week] = _currentweek
			)
		)

The result is as follow:

Use the all(), allselected(), allexcept(), and removefilter() functions to remove unwanted filtering effects.
Here's a blog about contextual filtering

Understand the Filter Context and How to Control i... - Microsoft Fabric Community

^{Best Regards,}

^{Zhengdong Xu}

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

[x-datita]

Thank you so much it works great!!

An additional question, do you know if it is possible to take week 52 as the first week in the display, only when it appears in January?