topic Display Previosly value date in DAX Commands and Tips

Display Previosly value date

dofrancis3 — Mon, 20 May 2024 14:52:12 GMT

Dear Colleagues could you help me with DAX Mesure!

As per the table below, i would like to disply separtly "Current" and "Previously" percentage of each country

Exemple for CD	%
% Previously date	60%
% Max date:	100%

Country Date %

CD	05/02/2023	95%
MU	11/07/2023	22%
CD	18/12/2023	60%
CD	23/02/2024	100%
MU	02/05/2024	17%

Re: Display Previosly value date

sanalytics — Mon, 20 May 2024 15:55:34 GMT

dofrancis3

You can try below measure

Previous Value = CALCULATE( SUM( 'Table'[Perc] ), OFFSET( -1, SUMMARIZE( ALL( 'Table' ),'Table'[Country],'Table'[Date], 'Table'[MaxTag] ), ORDERBY( 'Table'[Date], ASC ),PARTITIONBY('Table'[Country] ) ) )

Hope it helps.

Regards

sanalytics

Re: Display Previosly value date

dofrancis3 — Mon, 20 May 2024 16:15:37 GMT

Dear sanalytics thank you for your suport !

But please how can i do in case the % column is a Mesure?

Re: Display Previosly value date

Anonymous — Tue, 21 May 2024 03:20:02 GMT

Your solution is great sanalytics , Allow me to offer another insight:

Hi, dofrancis3

Based on your description, I used the following sample data:

To make it more realistic for you, I've created a measure using a percentage column.

I created two measures using the following two DAX expressions.

Current Percentage = VAR MaxDate = CALCULATE ( MAX ( 'Table'[Date]), ALLEXCEPT('Table','Table'[Country] )) RETURN CALCULATE ( [PercentageMeasure], 'Table'[Date] = MaxDate )

Previous Percentage = VAR MaxDate = CALCULATE ( MAX ( 'Table'[Date] ), ALLEXCEPT('Table','Table'[Country] )) VAR PrevDate = CALCULATE ( MAX ( 'Table'[Date] ), ALLEXCEPT('Table','Table'[Country] ), 'Table'[Date] < MaxDate ) RETURN CALCULATE ( [PercentageMeasure], 'Table'[Date] = PrevDate )

Here are the results:

I've provided the PBIX file used this time below.

How to Get Your Question Answered Quickly

If it does not help, please provide more details with your desired output and pbix file without privacy information (or some sample data) .

Best Regards

Jianpeng Li

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