Month comparison (day over day)

[Anonymous]

Hello,

I'm trying to generate a similar report as below where I want to compare daily orders (day over day) and how many of these orders were delivered (Cumulative).

Each month should be 60 days.

Sample Data:

order #	Order date	status	delivery date
123	06/15/2020	Completed	07/01/2020
321	06/15/2020	Completed	07/13/2020
431	06/15/2020	In Progress
312	06/20/2020	Completed	07/13/2020
645	06/20/2020	Completed	06/25/2020
753	06/20/2020	Completed	06/30/2020
423	06/20/2020	Completed	07/13/2020
234	06/20/2020	Completed	07/13/2020
678	06/20/2020	Completed	07/13/2020
987	06/20/2020	Completed	07/13/2020
870	06/20/2020	In Progress
986	06/20/2020	Completed	07/13/2020
678	06/20/2020	Completed	07/13/2020

what is the best way to accomplish this?

Thanks,

Y

[amitchandak]

@Anonymous , Create a date table, join both date with that table. One will active join another will be inactive. Use userelation to activate the join

Cumm Order = CALCULATE(Count(Table[order #]),filter(date,date[date] <=maxx(date,date[date])), userelation(Date[Date],Table[Order date]))
or

Cumm Order = CALCULATE(Count(Table[order #]),filter(date,date[date] <=max(Table[Order date])), userelation(Date[Date],Table[Order date]))

Cumm delivery= CALCULATE(Count(Table[order #]),filter(date,date[date] <=maxx(date,date[date])), userelation(Date[Date],Table[delivery  date]))
or
Cumm delivery= CALCULATE(Count(Table[order #]),filter(date,date[date] <=max(Table[delivery  date])), userelation(Date[Date],Table[delivery  date]))

Userelation is only needed for an inactive one. I have shown in both.

refer example

https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-trend/ba-p/882970

[Anonymous]

// Orders - fact table with orders, each line
// is one unique order.
// Calendar - date table connected to Orders
// in two ways:
// 1. Active connection
//		[Date] 1 -- * [OrderDate]
// 2. Inactive connection
//		[Date] 1 -- * [DeliveryDate]
// Columns in a fact table must always be
// hidden and slicing takes place via dimensions
// only. Calendar must be a Date table marked
// as such in the model.

[Orders Made] = COUNTROWS( Orders )

[Orders Delivered] =
	CALCULATE(
		[Orders Made],
		USERELATIONSHIP(
			Orders[DeliveryDate],
			Calendar[Date]
		)
	)
	
// Cumulative number of orders made
// to date.
[Orders Made Cumul.] =
var __lastVisibleDate = MAX( Calendar[Date] )
var __result =
	CALCULATE(
		[Orders Made],
		Calendar[Date] <= __lastVisibleDate
	)
return
	__result
	

// Cumulative number of orders delivered
// to date.
[Orders Delivered Cumul.] =
var __lastVisibleDate = MAX( Calendar[Date] )
var __result =
	CALCULATE(
		[Orders Delivered],
		Calendar[Date] <= __lastVisibleDate,
		KEEPFILTERS( Orders[Status] = "completed" )
	)
return
	__result

Note that in a correctly built model the fact table should all be hidden and slicing should only be done through dimensions. I've assumed, though, that Status will be still kept in the fact table and you'll want to slice by it, hence KEEPFILTERS( Orders[Status] = "completed" ). However, Status should also be kept in a dimension and, with some very specific exceptions, the fact table should be HIDDEN (can't stress this enough).

Best

D

[Anonymous]

Thank you @Anonymous and @amitchandak 

Now, what I have looks like this:

and below is what I'd like to acheive, I want to represent each month to start from day 1 and keep going till 60.

Pease let me know if you need more calrification.

Thanks,

Y

[Anonymous]

Dears,

For more clarification. I'm doing this on excel, and I couldn't fiqure it out how to do it in Power BI.

Below is how I do it in excel, and this is excatly how i need it to be in Power BI.

Your support is much appreciated.

Regards,

Y

[Anonymous]

To do what you want, you have to create another table that will store numbers from 1 to 60 and will map each of the numbers to the relevant days for each of the months you have. It'll just be like:

Calendar[Date] 1<--* BridgeTable[Date]

You have to do this because, for instance, each date will be mapped to at least 2 different months (maybe even more). The table with numbers will have to have some more attributes that will let you slice by months. This is because a month will be mapped into 60 days, so you can't do it with the Date table only.

Best
D