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When you’re filtering and including a and b your lag function will pull data from metric a and b. You’ll want to add PARTITION BY ` metric ` to your lag statements to make sure you’re not jumping metrics with the lag

Hi

Hopefully this is helpful...

I riffed on some of the other answers provided and came up with this which works for me to create a week commencing monday field

-- Author:
-- Created:
-- Last Modified:
-- Description: Returns the previous monday date
-- Use case for creating week commencing on Monday weeks


CASE 
	WHEN 
    	DAYOFWEEK(`Date`) >= 3 
        THEN DATE_SUB(`Date`, INTERVAL (DAYOFWEEK(`Date`) -2) DAY)
    WHEN 
    	DAYOFWEEK(`Date`) = 2 
        THEN `Date`
    WHEN 
    	DAYOFWEEK(`Date`) = 1 
        THEN DATE_SUB(`Date`, INTERVAL 6 DAY)
	ELSE
    -1
    
    END

@JackB116 I'd actually suggest changing your card from a Pivot Table to a Table chart type if you want to add calculations. You'd need to use beast modes for your 2022 and 2023 totals like this:

sum(case when `Delivery Year` = '2022' then `GDP Net` else 0 end)

Then your % difference calculation would look like this:

(
sum(case when `Delivery Year` = '2023' then `GDP Net` else 0 end) 
- 
sum(case when `Delivery Year` = '2022' then `GDP Net` else 0 end)
) / 
sum(case when `Delivery Year` = '2022' then `GDP Net` else 0 end)

@HowDoIDomo ,

Happy to help!

Hi @HowDoIDomo ,

So the start of that 4** date is Jan 1, 1900 so you need to create a column in an ETL with that Date and then add your number of days to that date. I made a video for you to see:

John Le

You're only one dashboard away. 

More video solutions at: https://www.dashboarddudes.com/pantry