Forum Discussion
Create a trend graph with date and time
- 4 years ago
Hi Anonymous ,
You can try the following methods.
Column:
Time Interval = IF ( HOUR ( [Time] ) >= 12, HOUR ( [Time] ) - 12, HOUR ( [Time] ) ) & "-" & IF ( HOUR ( [Time] ) >= 12, HOUR ( [Time] ) - 12 + 1, HOUR ( [Time] ) + 1 ) & IF ( HOUR ( [Time] ) >= 12, "PM", "AM" )Username (#) = CALCULATE ( COUNTROWS ( 'Table' ), FILTER ( 'Table', 'Table'[Time Interval] = EARLIER ( 'Table'[Time Interval] ) ) )Index is only used for sorting.
Is this the result you expect?
Best Regards,
Community Support Team _Charlotte
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi lbendlin
The data would look like following:
DateTimeUsername
| 3/11/22 | 1:01:00 AM | a1 |
| 3/11/22 | 2:10:00 AM | a2 |
| 3/11/22 | 2:34:00 AM | a3 |
| 3/11/22 | 3:10:00 AM | a4 |
| 3/11/22 | 3:10:00 AM | a5 |
| 3/11/22 | 3:10:00 AM | a6 |
| 3/11/22 | 4:10:00 AM | a7 |
| 3/11/22 | 4:10:00 AM | a8 |
| 3/11/22 | 4:11:00 AM | a8 |
| 3/11/22 | 4:12:00 AM | a8 |
| 3/11/22 | 5:10:00 AM | a11 |
| 3/11/22 | 5:10:00 AM | a12 |
| 3/11/22 | 5:10:00 AM | a13 |
| 3/11/22 | 5:10:00 AM | a14 |
| 3/11/22 | 5:10:00 AM | a15 |
| 3/11/22 | 6:10:00 AM | a16 |
| 3/11/22 | 6:10:00 AM | a17 |
| 3/11/22 | 6:10:00 AM | a18 |
| 3/11/22 | 6:10:00 AM | a19 |
| 3/11/22 | 6:10:00 AM | a20 |
| 3/11/22 | 6:10:00 AM | a21 |
| 3/11/22 | 7:10:00 AM | a22 |
| 3/11/22 | 7:10:00 AM | a23 |
| 3/11/22 | 7:10:00 AM | a24 |
| 3/11/22 | 7:10:00 AM | a25 |
| 3/11/22 | 7:10:00 AM | a26 |
| 3/11/22 | 7:10:00 AM | a27 |
| 3/11/22 | 7:10:00 AM | a28 |
| 3/11/22 | 8:10:00 AM | a29 |
| 3/11/22 | 8:10:00 AM | a30 |
| 3/11/22 | 8:10:00 AM | a31 |
| 3/11/22 | 8:10:00 AM | a32 |
| 3/11/22 | 8:10:00 AM | a33 |
| 3/11/22 | 8:10:00 AM | a34 |
| 3/11/22 | 8:10:00 AM | a35 |
| 3/11/22 | 8:10:00 AM | a36 |
| 3/11/22 | 9:10:00 AM | a37 |
| 3/11/22 | 9:10:00 AM | a38 |
| 3/11/22 | 9:10:00 AM | a39 |
| 3/11/22 | 9:10:00 AM | a40 |
| 3/11/22 | 9:10:00 AM | a41 |
| 3/11/22 | 9:10:00 AM | a42 |
| 3/11/22 | 9:10:00 AM | a43 |
| 3/11/22 | 9:10:00 AM | a44 |
| 3/11/22 | 9:10:00 AM | a45 |
| 3/11/22 | 10:10:00 AM | a46 |
| 3/11/22 | 10:10:00 AM | a47 |
| 3/11/22 | 10:10:00 AM | a48 |
| 3/11/22 | 10:10:00 AM | a49 |
| 3/11/22 | 10:10:00 AM | a50 |
| 3/11/22 | 10:10:00 AM | a51 |
| 3/11/22 | 10:10:00 AM | a52 |
| 3/11/22 | 10:10:00 AM | a52 |
The graph should be generated based on the following data that is to be derived from the above table by aggregating the users for 1 hr interval:
| Date | Time Interval | Username (#) |
| 3/11/22 | 0-1AM | 0 |
| 3/11/22 | 1-2AM | 1 |
| 3/11/22 | 2-3AM | 2 |
| 3/11/22 | 3-4AM | 3 |
| 3/11/22 | 4-5AM | 4 |
| 3/11/22 | 5-6AM | 5 |
| 3/11/22 | 6-7AM | 6 |
| 3/11/22 | 7-8AM | 7 |
| 3/11/22 | 8-9AM | 8 |
| 3/11/22 | 9-10AM | 9 |
| 3/11/22 | 10-11AM | 8 |
| 3/11/22 | 11-12AM | 7 |
| 3/11/22 | 12-1PM | 8 |
| 3/11/22 | 1-2PM | 9 |
| 3/11/22 | 2-3PM | 10 |
| 3/11/22 | 3-4PM | 11 |
| 3/11/22 | 4-5PM | 12 |
| 3/11/22 | 5-6PM | 13 |
| 3/11/22 | 6-7PM | 14 |
| 3/11/22 | 7-8PM | 15 |
| 3/11/22 | 8-9PM | 16 |
| 3/11/22 | 9-10PM | 17 |
| 3/11/22 | 10-11PM | 18 |
| 3/11/22 | 11-12PM | 19 |
| 3/12/22 | 12-1AM | 20 |
| 3/12/22 | 1-2AM | 19 |
| 3/12/22 | 2-3AM | 18 |
| 3/12/22 | 3-4AM | 17 |
| 3/12/22 | 4-5AM | 16 |
| 3/12/22 | 5-6AM | 15 |
| 3/12/22 | 6-7AM | 14 |
| 3/12/22 | 7-8AM | 13 |
| 3/12/22 | 8-9AM | 12 |
| 3/12/22 | 9-10AM | 11 |
| 3/12/22 | 10-11AM | 12 |
| 3/12/22 | 11-12AM | 13 |
Hi Anonymous ,
You can try the following methods.
Column:
Time Interval =
IF ( HOUR ( [Time] ) >= 12, HOUR ( [Time] ) - 12, HOUR ( [Time] ) ) & "-"
& IF ( HOUR ( [Time] ) >= 12, HOUR ( [Time] ) - 12 + 1, HOUR ( [Time] ) + 1 )
& IF ( HOUR ( [Time] ) >= 12, "PM", "AM" )Username (#) =
CALCULATE (
COUNTROWS ( 'Table' ),
FILTER ( 'Table', 'Table'[Time Interval] = EARLIER ( 'Table'[Time Interval] ) )
)
Index is only used for sorting.
Is this the result you expect?
Best Regards,
Community Support Team _Charlotte
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.