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Hi,
I have a set of conditions that occur at certain dates. I am looking for an easy way to count the number of days between the occurences and then calculate the standard deviation of all these times in between. My table is simple but I can not find the right way to do this with a measure
| Condition | Date |
| 1 | 10-Mar |
| 2 | 15-Mar |
| 3 | 27-Mar |
| 1 | 14-Mar |
| 2 | 16-Mar |
| 3 | 31-Mar |
| 2 | 20-Mar |
| 3 | 2-Apr |
| 1 | 20-Mar |
Solved! Go to Solution.
Hi @DBNN
1. Place Table1[Condition] in a table visual
2. Place this measure in the visual
Measure =
STDEVX.P(
ADDCOLUMNS (
DISTINCT ( Table1[Date] ),
"@DaysBetween",
VAR current_ = Table1[Date]
VAR next_ = CALCULATE ( MIN ( Table1[Date] ), Table1[Date] > current_ )
RETURN
IF ( NOT ISBLANK ( next_ ), next_ - current_ )
),
[@DaysBetween]
)
See it all at work in the attached file.
|
|
Please accept the solution when done and consider giving a thumbs up if posts are helpful. Contact me privately for support with any larger-scale BI needs, tutoring, etc. |
Hi @DBNN
1. Place Table1[Condition] in a table visual
2. Place this measure in the visual
Measure =
STDEVX.P(
ADDCOLUMNS (
DISTINCT ( Table1[Date] ),
"@DaysBetween",
VAR current_ = Table1[Date]
VAR next_ = CALCULATE ( MIN ( Table1[Date] ), Table1[Date] > current_ )
RETURN
IF ( NOT ISBLANK ( next_ ), next_ - current_ )
),
[@DaysBetween]
)
See it all at work in the attached file.
|
|
Please accept the solution when done and consider giving a thumbs up if posts are helpful. Contact me privately for support with any larger-scale BI needs, tutoring, etc. |
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