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I want to replicate the following table and am looking for the formula to achieve so.
I have a Quotes with data that is as the following.
Quote ID | Client Name | Quote Date | ||
1 | NAme1 | 12/11/2022 | ||
2 | NAme2 | 11/11/2022 | ||
3 | NAme3 | 09/11/2022 | ||
4 | NAme4 | 06/11/2022 | ||
5 | NAme5 | 02/11/2022 | ||
6 | NAme6 | 09/10/2022 | ||
7 | NAme7 | 09/07/2022 | ||
8 | NAme8 | 02/07/2022 | ||
9 | NAme9 | 05/06/2022 |
The plan is to have the count of the quotes clustered in 0-30 days from today, 30-60 days from today and 60-90 days. All that surpasses should be in the rest than 90 days ..
So if today's date is 2/12/2022, then it should go back and check up to 2/11/2022 and input the number of quotes that fall in that bracket between 0-30 days, and between 02/11/2022 to 02/10/2022 - Should input all that are 30 -60 days.
Please assist. Thanks
Solved! Go to Solution.
@Datagulf , You can create a column like
New column =
var _day = datediff([Date], Today(), day)
return
Switch( True(),
_day <=30 , " 0- 30",
_day <=60 , " 31- 60",
_day <=90 , " 61- 90",
"> 90 ")
@Datagulf , You can create a column like
New column =
var _day = datediff([Date], Today(), day)
return
Switch( True(),
_day <=30 , " 0- 30",
_day <=60 , " 31- 60",
_day <=90 , " 61- 90",
"> 90 ")
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