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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?
DateCustomer IDCategory
2023-01-01 | 1 | A |
2023-01-01 | 2 | A |
2023-01-01 | 3 | A |
2023-01-01 | 4 | A |
2023-01-01 | 5 | A |
2023-01-01 | 6 | A |
2023-01-01 | 7 | A |
2023-01-01 | 8 | A |
2023-01-01 | 9 | A |
2023-01-01 | 10 | A |
2023-01-01 | 11 | A |
2023-01-01 | 12 | A |
2023-01-01 | 13 | A |
2023-01-01 | 14 | B |
2023-01-01 | 15 | B |
2023-01-01 | 16 | B |
2023-01-01 | 17 | B |
2023-01-01 | 18 | B |
2023-01-01 | 19 | B |
2023-01-01 | 20 | B |
2023-01-01 | 21 | B |
2023-01-01 | 22 | B |
2023-01-01 | 23 | B |
2023-01-01 | 24 | B |
2023-01-01 | 25 | B |
2023-01-01 | 26 | B |
2023-01-01 | 27 | B |
2023-01-01 | 28 | B |
2023-01-01 | 29 | B |
2023-01-01 | 30 | B |
2023-01-01 | 31 | C |
2023-01-01 | 32 | C |
2023-01-01 | 33 | C |
2023-01-01 | 34 | C |
2023-01-01 | 35 | C |
2023-01-01 | 36 | C |
2023-01-01 | 37 | C |
2023-01-01 | 38 | C |
2023-01-01 | 39 | D |
2023-01-01 | 40 | D |
2023-01-01 | 41 | D |
2023-01-01 | 42 | D |
2023-01-01 | 43 | D |
2023-01-01 | 44 | D |
2023-01-01 | 45 | D |
2023-01-01 | 46 | E |
2023-01-01 | 47 | F |
2023-01-01 | 48 | F |
2023-01-01 | 49 | F |
2023-08-01 | 1 | B |
2023-08-01 | 2 | B |
2023-08-01 | 3 | A |
2023-08-01 | 4 | A |
2023-08-01 | 5 | A |
2023-08-01 | 6 | A |
2023-08-01 | 7 | A |
2023-08-01 | 8 | A |
2023-08-01 | 9 | A |
2023-08-01 | 10 | A |
2023-08-01 | 11 | A |
2023-08-01 | 12 | A |
2023-08-01 | 13 | A |
2023-08-01 | 14 | A |
2023-08-01 | 15 | A |
2023-08-01 | 16 | A |
2023-08-01 | 17 | A |
2023-08-01 | 18 | B |
2023-08-01 | 19 | B |
2023-08-01 | 20 | B |
2023-08-01 | 21 | B |
2023-08-01 | 22 | B |
2023-08-01 | 23 | B |
2023-08-01 | 24 | B |
2023-08-01 | 25 | B |
2023-08-01 | 26 | B |
2023-08-01 | 27 | C |
2023-08-01 | 28 | C |
2023-08-01 | 29 | C |
2023-08-01 | 30 | C |
2023-08-01 | 31 | A |
2023-08-01 | 32 | A |
2023-08-01 | 33 | A |
2023-08-01 | 34 | B |
2023-08-01 | 35 | C |
2023-08-01 | 36 | C |
2023-08-01 | 37 | C |
2023-08-01 | 38 | C |
2023-08-01 | 39 | B |
2023-08-01 | 40 | B |
2023-08-01 | 41 | D |
2023-08-01 | 42 | D |
2023-08-01 | 43 | D |
2023-08-01 | 44 | D |
2023-08-01 | 45 | E |
2023-08-01 | 46 | A |
2023-08-01 | 47 | F |
2023-08-01 | 48 | F |
2023-08-01 | 49 | F |
2023-08-01 | n123 | A |
2023-08-01 | N452 | A |
2023-08-01 | N4353 | A |
2023-08-01 | N65454N | B |
2023-08-01 | NN34 | B |
2023-08-01 | N222 | C |
Solved! Go to Solution.
Here is an approximation using standard matrix visuals.
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.
See attached.
Here is an approximation using standard matrix visuals.
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.
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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