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Hi guys, I have a table with a column of Date-Time.
I need to use that column to filter charts between recent hours. For example: Past 5 hours, 5-24 hours, 24-72 hours, etc
I can't see any way to filter between hours, only "include everything from X hours ago"
This is what I've been able to create:
Using variations of:
I've attached a PBX file to show it all in action: https://drive.google.com/file/d/1vsF-tN9O1FYRInWWDqCxPC3dNt5Yv3eL/view
Anyone have any ideas how to do this?
Solved! Go to Solution.
Hi @StefanM ,
Here are the steps you can follow:
1. Create calculated column.
Hour =
DATEDIFF(MAX('Table'[date]),NOW(),HOUR)Hour_Column =
var _1=DATEDIFF('Table'[date],NOW(),HOUR)
return
SWITCH(
TRUE(),
_1>0&&_1<=5,"0-5",
_1>5&&_1<=24,"5-24",
"24-72")2. Create measure
count of resopnse =
CALCULATE(COUNT('Table'[Legend]),FILTER('Table','Table'[Legend]=MAX('Table'[Legend])))3. Place Hour_Column in Axis, Legend in Legend, and count of resopnse in Values
4. Result.
You can downloaded PBIX file from here.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @StefanM ,
Here are the steps you can follow:
1. Create calculated column.
Hour =
DATEDIFF(MAX('Table'[date]),NOW(),HOUR)Hour_Column =
var _1=DATEDIFF('Table'[date],NOW(),HOUR)
return
SWITCH(
TRUE(),
_1>0&&_1<=5,"0-5",
_1>5&&_1<=24,"5-24",
"24-72")2. Create measure
count of resopnse =
CALCULATE(COUNT('Table'[Legend]),FILTER('Table','Table'[Legend]=MAX('Table'[Legend])))3. Place Hour_Column in Axis, Legend in Legend, and count of resopnse in Values
4. Result.
You can downloaded PBIX file from here.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
You can add a calculated column
Interval = SWITCH(TRUE(),now()-'Table'[regDate]<5/24,"Last 5 hrs",now()-'Table'[regDate]<1,"5-24 hrs Ago",now()-'Table'[regDate]<3,"24-72 hrs Ago","72+ hrs Ago")
BUT! There are lots of buts here. This would require you to have a Direct Query data connection or a very frequent dataset refresh. It also works against local time which comes with its own big bag of hurt.
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