Need help to get average ageing
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Hi all
I m trying to pull the average ageing of all category, week wise of the month.
Output will look similar to below table:
Category | 1st Week of the month | 2nd Week of the month | 3rd Week of the month | 4th Week of the month | 5th week of the month | Average ageing overall week |
a | 90 | 49 | 106 | 66 | 82 | |
b | 18 | 25 | 35 | 42 | 30 | |
c | 37 | 19 | 72 | 38 | 31 | 36 |
d | 58 | 22 | 75 | 39 | 49 | |
e | 21 | 22 | 38 | 39 | 30 | |
g | 15 | 9 | 32 | 19 | ||
h | 8 | 8 | ||||
i | 6 | 6 | ||||
Grand Total | 50 | 24 | 49 | 49 | 36 | 43 |
Solved! Go to Solution.
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@shahnawaz_khan Your attached workflow is not helping to understand what you are looking for? Can you elaborate on what exactly you're looking for based on your input data?
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@shahnawaz_khan
I think you need to provide the definition of "aging" which is not shown in your sample data.
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Also, assuming aging is the closure from creation date, why is there a time series element to the column names? The week from when? Need more details...
Alteryx ACE
https://www.linkedin.com/in/calvintangkw/
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Yes ageing is from the closure from creation date, and the date format is dd-mm-yy hh:mm;ss, and the week of the month stand for in which week it got closed. Eg: closed date is of 1st week of the month then its 1st week if closure date is of 4th week of the month then its 4th week.
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In addition, there are 52 weeks to a year, and if you are using closure week of the year, you need to factor that in. Unless you are saying, each month, the week recycles from 1 to 4 or 1 to 5. What about weeks cut in half? How do you consider a week starting in May but ends in June, will it be the 5th week of May or 1st week of June?
Needs more consideration into the what-ifs.. but if you are happy with the above, that's how you can do it.
Alteryx ACE
https://www.linkedin.com/in/calvintangkw/
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Hi,
sample is below with Ageing : Ageing = Closure date - Created date
Sr no. | Category | Created date | Closure date | Week of the month | Ageing |
1 | a | 01-01-2025 | 01-04-2025 | 1st Week | 90 |
2 | b | 15-03-2025 | 02-04-2025 | 1st Week | 18 |
3 | c | 07-02-2025 | 03-04-2025 | 1st Week | 55 |
4 | d | 05-02-2025 | 04-04-2025 | 1st Week | 58 |
5 | e | 15-03-2025 | 05-04-2025 | 1st Week | 21 |
6 | c | 18-03-2025 | 06-04-2025 | 1st Week | 19 |
7 | g | 23-03-2025 | 07-04-2025 | 2nd Week | 15 |
8 | a | 18-02-2025 | 08-04-2025 | 2nd Week | 49 |
9 | b | 15-03-2025 | 09-04-2025 | 2nd Week | 25 |
10 | c | 18-03-2025 | 10-04-2025 | 2nd Week | 23 |
11 | d | 20-03-2025 | 11-04-2025 | 2nd Week | 22 |
12 | e | 21-03-2025 | 12-04-2025 | 2nd Week | 22 |
13 | c | 30-03-2025 | 13-04-2025 | 2nd Week | 14 |
14 | g | 05-04-2025 | 14-04-2025 | 3rd Week | 9 |
15 | h | 07-04-2025 | 15-04-2025 | 3rd Week | 8 |
16 | i | 10-04-2025 | 16-04-2025 | 3rd Week | 6 |
17 | a | 02-01-2025 | 17-04-2025 | 3rd Week | 105 |
18 | a | 01-01-2025 | 18-04-2025 | 3rd Week | 107 |
19 | b | 15-03-2025 | 19-04-2025 | 3rd Week | 35 |
20 | c | 07-02-2025 | 20-04-2025 | 3rd Week | 72 |
21 | d | 05-02-2025 | 21-04-2025 | 4th Week | 75 |
22 | e | 15-03-2025 | 22-04-2025 | 4th Week | 38 |
23 | c | 18-03-2025 | 23-04-2025 | 4th Week | 36 |
24 | g | 23-03-2025 | 24-04-2025 | 4th Week | 32 |
25 | a | 18-02-2025 | 25-04-2025 | 4th Week | 66 |
26 | b | 15-03-2025 | 26-04-2025 | 4th Week | 42 |
27 | c | 18-03-2025 | 27-04-2025 | 4th Week | 40 |
28 | d | 20-03-2025 | 28-04-2025 | 5th week | 39 |
29 | e | 21-03-2025 | 29-04-2025 | 5th week | 39 |
30 | c | 30-03-2025 | 30-04-2025 | 5th week | 31 |
31 | a | 19-02-2025 | 25-04-2025 | 4th Week | 65 |
32 | a | 02-01-2025 | 01-04-2025 | 1st Week | 89 |
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@shahnawaz_khan
You will provide the defition for "Week"?
I can not see consistency from your week number.
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@shahnawaz_khan I believe my workflow solves your need no?
Alteryx ACE
https://www.linkedin.com/in/calvintangkw/
