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MartinBurman
New Member

Net Change Over Period matrix. With Excel and Image of desired result

Hello community,

 

I had a customer present an interesting visualization they use to track customer movement between categories for two dates. It took a while to create the sample data but i think i got it down in the table here. You can also see the desired result based on the data.

 

Explaination:

2023-01-01 we have 13 customers in category A, 17 in B, 8 in C etc.
2023-08-01 we have 22 customers in category A, 16 in B, 9 in C etc

 

Looking at 2023-08-01, Out of those 22 now in category A, 11 was previously A (didnt move). 4 was previously in B, 3 was in C, 1 in E and we have 3 new customers who jumped straight into category A.

 

How would you go about replicating a visualization such as this one? The looks arent to important its more what it conveys at a glance. If we can replicate the looks that would be great ofc. 

User might take away: Who is the outlier that went from E to A over just a couple of months?

 

MartinBurman_0-1692100288238.png

 

 

 

 

DateCustomer IDCategory

2023-01-011A
2023-01-012A
2023-01-013A
2023-01-014A
2023-01-015A
2023-01-016A
2023-01-017A
2023-01-018A
2023-01-019A
2023-01-0110A
2023-01-0111A
2023-01-0112A
2023-01-0113A
2023-01-0114B
2023-01-0115B
2023-01-0116B
2023-01-0117B
2023-01-0118B
2023-01-0119B
2023-01-0120B
2023-01-0121B
2023-01-0122B
2023-01-0123B
2023-01-0124B
2023-01-0125B
2023-01-0126B
2023-01-0127B
2023-01-0128B
2023-01-0129B
2023-01-0130B
2023-01-0131C
2023-01-0132C
2023-01-0133C
2023-01-0134C
2023-01-0135C
2023-01-0136C
2023-01-0137C
2023-01-0138C
2023-01-0139D
2023-01-0140D
2023-01-0141D
2023-01-0142D
2023-01-0143D
2023-01-0144D
2023-01-0145D
2023-01-0146E
2023-01-0147F
2023-01-0148F
2023-01-0149F
2023-08-011B
2023-08-012B
2023-08-013A
2023-08-014A
2023-08-015A
2023-08-016A
2023-08-017A
2023-08-018A
2023-08-019A
2023-08-0110A
2023-08-0111A
2023-08-0112A
2023-08-0113A
2023-08-0114A
2023-08-0115A
2023-08-0116A
2023-08-0117A
2023-08-0118B
2023-08-0119B
2023-08-0120B
2023-08-0121B
2023-08-0122B
2023-08-0123B
2023-08-0124B
2023-08-0125B
2023-08-0126B
2023-08-0127C
2023-08-0128C
2023-08-0129C
2023-08-0130C
2023-08-0131A
2023-08-0132A
2023-08-0133A
2023-08-0134B
2023-08-0135C
2023-08-0136C
2023-08-0137C
2023-08-0138C
2023-08-0139B
2023-08-0140B
2023-08-0141D
2023-08-0142D
2023-08-0143D
2023-08-0144D
2023-08-0145E
2023-08-0146A
2023-08-0147F
2023-08-0148F
2023-08-0149F
2023-08-01n123A
2023-08-01N452A
2023-08-01N4353A
2023-08-01N65454NB
2023-08-01NN34B
2023-08-01N222C
1 ACCEPTED SOLUTION
lbendlin
Super User
Super User

Here is an approximation using standard matrix visuals.

 

lbendlin_0-1692228283003.png

 

Might not be pretty, and also doesn't support tooltips so your question

Who is the outlier that went from E to A over just a couple of months?

would need additional adornments, for example by adding the ID to the row hierarchy.

 

lbendlin_1-1692228415818.png

 

See attached.

View solution in original post

2 REPLIES 2
lbendlin
Super User
Super User

Here is an approximation using standard matrix visuals.

 

lbendlin_0-1692228283003.png

 

Might not be pretty, and also doesn't support tooltips so your question

Who is the outlier that went from E to A over just a couple of months?

would need additional adornments, for example by adding the ID to the row hierarchy.

 

lbendlin_1-1692228415818.png

 

See attached.

I'm sorry I didn't see this earlier. Thanks for the time you spent, it's appreciated!

Will update if we implement this.

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