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## Monthly comparison by categories

Hello everyone.

I'm new to this power bi and dax thing and I need your help.

I have a record that contains thousands of products, each with its price and category (the category is divided into three levels in another table)

In addition, I have the date on which each of the records has been made.

I need a way to calculate and compare the evolution of prices over time (by months for example), both individually and by categories.

For example, see which are the categories/prices that have risen the most in price in the last year, or the ones that have risen the least. They have risen from one month to the next...

A small example of the table can be something like this.

 Product Price Category Date AAA 5.3 A 01/01/2022 FIG 8.2 A 05/02/2022 BBB 1.1 B 01/01/2022 CCC 5.3 C 23/05/2022 CHAPTER 0.2 B 04/12/2022 DDD 2.7 A 03/03/2022 GGG 10.1 C 14/02/2022 HGT 20.3 C 23/08/2022 AAA 5.4 A 11/01/2022 CCC 6.1 C 17/09/2022 BBB 1.1 B 01/01/2022 DDD .3.1 A 08/03/2022 GGG 9.1 C 29/03/2022

I imagine that we will have to calculate the average price of the category for the month in question, which is what I do not know how to do it.

I do not know if I have explained myself well or if it is necessary to clarify something.

Thanks a lot

1 ACCEPTED SOLUTION
Community Support

If you want to calculate the average price of the category for the month, you can create a Dimdate table by CALENDAR()/CALENDARAUTO() function. Then create a measure by average function.

Data model:

Measure:

``````Avg =
AVERAGE('Table'[Price])``````

Result is as below.

Best Regards,
Rico Zhou

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

Community Support

If you want to calculate the average price of the category for the month, you can create a Dimdate table by CALENDAR()/CALENDARAUTO() function. Then create a measure by average function.

Data model:

Measure:

``````Avg =
AVERAGE('Table'[Price])``````

Result is as below.

Best Regards,
Rico Zhou

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

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