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Hi everyone,
I am trying to figure out how to calculate a running minimum value within certain timeframes.
Let's say I am working with the data below.
For each "Account", I need to calculate the minimum within the last 5 days as an example (I assume the formula would be adjusted for different ranges like 30 days, 1 year, etc.).
For 8/16 to 8/19, the value should be 0 as 5 days hasn't passed yet and my expected values are in the last column.
Date | Account | Value | Minimum within last 5 days |
8/16/2023 | A | 100 | |
8/17/2023 | A | 200 | |
8/18/2023 | A | 300 | |
8/19/2023 | A | 400 | |
8/20/2023 | A | 500 | 100 |
8/21/2023 | A | 600 | 200 |
8/22/2023 | A | 700 | 300 |
8/23/2023 | A | 800 | 400 |
8/24/2023 | A | 900 | 500 |
8/25/2023 | A | 1000 | 600 |
8/26/2023 | A | 1100 | 700 |
8/27/2023 | A | 1200 | 800 |
8/28/2023 | A | 1300 | 900 |
8/29/2023 | A | 1400 | 1000 |
8/30/2023 | A | 1500 | 1100 |
8/31/2023 | A | 1600 | 1200 |
9/1/2023 | A | 1700 | 1300 |
9/2/2023 | A | 1800 | 1400 |
9/3/2023 | A | 1900 | 1500 |
9/4/2023 | A | 2000 | 1600 |
9/5/2023 | A | 2100 | 1700 |
9/6/2023 | A | 2200 | 1800 |
9/7/2023 | A | 2300 | 1900 |
9/8/2023 | A | 2400 | 2000 |
9/9/2023 | A | 2500 | 2100 |
9/10/2023 | A | 2600 | 2200 |
9/11/2023 | A | 2700 | 2300 |
9/12/2023 | A | 2800 | 2400 |
9/13/2023 | A | 2900 | 2500 |
9/14/2023 | A | 3000 | 2600 |
9/15/2023 | A | 3100 | 2700 |
9/16/2023 | A | 3200 | 2800 |
9/17/2023 | A | 3300 | 2900 |
9/18/2023 | A | 3400 | 3000 |
9/19/2023 | A | 3500 | 3100 |
9/20/2023 | A | 3600 | 3200 |
8/16/2023 | B | 100 | |
8/17/2023 | B | 200 | |
8/18/2023 | B | 300 | |
8/19/2023 | B | 400 | |
8/20/2023 | B | 500 | 100 |
8/21/2023 | B | 600 | 200 |
8/22/2023 | B | 700 | 300 |
8/23/2023 | B | 800 | 400 |
8/24/2023 | B | 900 | 500 |
8/25/2023 | B | 1 | 1 |
8/26/2023 | B | 1100 | 1 |
8/27/2023 | B | 1200 | 1 |
8/28/2023 | B | 1300 | 1 |
8/29/2023 | B | 1400 | 1 |
8/30/2023 | B | 1500 | 1100 |
8/31/2023 | B | 1600 | 1200 |
9/1/2023 | B | 1700 | 1300 |
9/2/2023 | B | 1800 | 1400 |
9/3/2023 | B | 1900 | 1500 |
9/4/2023 | B | 2000 | 1600 |
9/5/2023 | B | 2100 | 1700 |
9/6/2023 | B | 2200 | 1800 |
9/7/2023 | B | 2300 | 1900 |
9/8/2023 | B | 2400 | 2000 |
9/9/2023 | B | 2 | 2 |
9/10/2023 | B | 2600 | 2 |
9/11/2023 | B | 2700 | 2 |
9/12/2023 | B | 2800 | 2 |
9/13/2023 | B | 2900 | 2 |
9/14/2023 | B | 3000 | 2600 |
9/15/2023 | B | 3100 | 2700 |
9/16/2023 | B | 3200 | 2800 |
9/17/2023 | B | 3300 | 2900 |
9/18/2023 | B | 3400 | 3000 |
9/19/2023 | B | 3500 | 3100 |
9/20/2023 | B | 3600 | 3200 |
I have searched and tried to adapt from the following measures in these links but always end up with a ciruclar dependency error.
Solved: Re: Filter minimum value per category within date ... - Microsoft Fabric Community
Solved: lookup value within date range - Microsoft Fabric Community
Solved: Re: Calculate Min Values within a Specific and Dyn... - Microsoft Fabric Community
Thank you and much appreciation.
Hi,
Please check the below picture and the attached pbix file.
It is for creating a new column, not a measure.
Minimum within last 5 days CC =
VAR _t =
WINDOW (
-4,
REL,
0,
REL,
SUMMARIZE ( Data, Data[Date], Data[Account], Data[Value] ),
ORDERBY ( Data[Date], ASC ),
,
PARTITIONBY ( Data[Account] )
)
VAR _condition =
COUNTROWS ( _t ) = 5
RETURN
IF ( _condition, MINX ( _t, Data[Value] ), 0 )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
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