Hi,
I have a dataset that contains Sales Volume for different products in different states in 2022 and 2023.
My goal is to have a matrix like the one below, that drills down into State and further down into Product_Type level. I'm trying to include a measure that shows the difference between both years as well as the YOY% change. I tried to use the SAMEPERIODLASTYEAR function but it kept returning blanks. Probably because of the multiple layers/categories to the dataset. Not sure about my theory but I'd appreciate any help or suggestions. I'v also included the link to the pbi file below. Thanks very much!
@nwikeann seems like you are adding it as a column not a measure, it should be a measure
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As a best practice, add a date dimension in your model and use it for time intelligence calculations. Once the date dimension is added, mark it as a date table on table tools. Check the related videos on my YT channel
Add Date Dimension
Importance of Date Dimension
Mark date dimension as a date table - why and how?
Time Intelligence Playlist
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Thanks for your response @parry2k. I created a date table (CALENDAR) and tried to calculate the sales volume for the previous year using the following function
Sales Volume PY = calculate(sum(Sheet1[Sales Volume CY]),sameperiodlastyear('CALENDAR'[Date]))
but I'm getting the same value as the current year. Any alternative function? Thanks!
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