Forum Discussion
Time Slot Calculation
Hey everyone,
I need help with a problem I am currently facing.
I need to count free calender timeslots for sales-users in a specific time range (09:00 - 20:00).
I have data from the sales-users´ calender. This data has a start-time and an end time of the appointments. Each appointment is two hours long and after the appointment there should be a 1 hour period in which no appointment can be except if it is a private one. The goal is to give a person who sets the appointments for the sales-users a number of how many slots there are available for appointments. I tried a couple of methods and checked the community but I have not found a solution for this problem.
Table with Start and End Date. ID is for the sales-user.
In this case the visual should show "1" because there is one slot available which fits the 2h + 1h rule.
Thank you!
Hi Anonymous ,
Here are the steps you can follow：
1. Create measure.
Flag1 = var _9time= DATE(YEAR(MAX('Table'[Start_Termin])),MONTH(MAX('Table'[Start_Termin])),DAY(MAX('Table'[Start_Termin]))) + TIME(9,0,0) return IF( MAX('Table'[Start_Termin])>=_9time,1,0)Measure = var _mindate= MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin]) //2022.8.2 9:30 var _mindate2=_mindate + TIME(2,0,0) var _mindate3=_mindate + TIME(3,0,0) var _hour=DATEDIFF( MAX('Table'[Start_Termin]),MAX('Table'[Termin_Ende]),HOUR) return SWITCH( TRUE(), MAX('Table'[Start_Termin])>=_mindate&&MAX('Table'[Start_Termin])<=_mindate2,"Kundentermin", MAX('Table'[Start_Termin])>_mindate2&&MAX('Table'[Start_Termin])<=_mindate3,"Puffer", _hour>=2&&[Flag1]=1,"Privater Termin")Measure 3 = var _table1= FILTER(ALL('Table'),[Flag1]=1) var _table2= ADDCOLUMNS(_table1,"1", SWITCH( TRUE(), 'Table'[Start_Termin]>=MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])&&'Table'[Start_Termin]<=MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])+TIME(2,0,0),"Kundentermin", 'Table'[Start_Termin]>MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])+TIME(2,0,0)&&'Table'[Start_Termin]<=MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])+TIME(3,0,0),"Puffer", DATEDIFF( 'Table'[Start_Termin],'Table'[Termin_Ende],HOUR)>=2&&[Flag1]=1,"Privater Termin")) var _table3= SUMMARIZE(_table2,[id],[1]) return COUNTX(FILTER(_table3,[1]<>"Privater Termin"&&[1]<>BLANK()),[id]) &""& "h" &" + "& COUNTX(FILTER(_table3,[1]="Privater Termin"),[id]) &""& "h"2. Result:
If you need pbix, please click 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
1 Reply
Hi Anonymous ,
Here are the steps you can follow：
1. Create measure.
Flag1 = var _9time= DATE(YEAR(MAX('Table'[Start_Termin])),MONTH(MAX('Table'[Start_Termin])),DAY(MAX('Table'[Start_Termin]))) + TIME(9,0,0) return IF( MAX('Table'[Start_Termin])>=_9time,1,0)Measure = var _mindate= MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin]) //2022.8.2 9:30 var _mindate2=_mindate + TIME(2,0,0) var _mindate3=_mindate + TIME(3,0,0) var _hour=DATEDIFF( MAX('Table'[Start_Termin]),MAX('Table'[Termin_Ende]),HOUR) return SWITCH( TRUE(), MAX('Table'[Start_Termin])>=_mindate&&MAX('Table'[Start_Termin])<=_mindate2,"Kundentermin", MAX('Table'[Start_Termin])>_mindate2&&MAX('Table'[Start_Termin])<=_mindate3,"Puffer", _hour>=2&&[Flag1]=1,"Privater Termin")Measure 3 = var _table1= FILTER(ALL('Table'),[Flag1]=1) var _table2= ADDCOLUMNS(_table1,"1", SWITCH( TRUE(), 'Table'[Start_Termin]>=MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])&&'Table'[Start_Termin]<=MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])+TIME(2,0,0),"Kundentermin", 'Table'[Start_Termin]>MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])+TIME(2,0,0)&&'Table'[Start_Termin]<=MINX(FILTER(ALL('Table'),[Flag1]=1),[Start_Termin])+TIME(3,0,0),"Puffer", DATEDIFF( 'Table'[Start_Termin],'Table'[Termin_Ende],HOUR)>=2&&[Flag1]=1,"Privater Termin")) var _table3= SUMMARIZE(_table2,[id],[1]) return COUNTX(FILTER(_table3,[1]<>"Privater Termin"&&[1]<>BLANK()),[id]) &""& "h" &" + "& COUNTX(FILTER(_table3,[1]="Privater Termin"),[id]) &""& "h"2. Result:
If you need pbix, please click 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