Forum Discussion
Calculation of process_time values based on success column using dax calculated columns
Hello everyone,
I am new to Power BI and need help to create a new calculated column with DAX. I have this below-mentioned table where status or success columns represent process is finished successfully or not. (1 or F means finished successfully otherwise not), process_time_in_minutes column represents the duration of the process.
| id | status | success | process_time_in_minutes |
| 1 | F | 1 | 80 |
| 2 | L | 0 | 70 |
| 3 | L | 0 | 30 |
| 4 | F | 1 | 60 |
| 5 | L | 0 | 50 |
| 6 | F | 1 | 34 |
I need a new table like the below one. I want to get total values for a successful process, so if the process has failed then process duration should be kept adding until it gets successful
What I actually want is if the process finished successfully means success = 1 then process time is the same for the next column, otherwise, if it is failed then it should add all previous values till success =1, for first failed process it will be same value as there is no previous failed, but for next ones, it should be kept adding until process finished successfully.
| id | status | success | process_time_in_minutes | updated_process_time_in_minutes |
| 1 | F | 1 | 80 | 80 |
| 2 | L | 0 | 70 | 70 |
| 3 | L | 0 | 30 | 100 |
| 4 | F | 1 | 60 | 160 |
| 5 | L | 0 | 50 | 50 |
| 6 | F | 1 | 34 | 84 |
Please help me to write a DAX query for this. Thanks!
Anonymous
pls try this
Column =VAR _LAST=MAXX(FILTER(hk_job,hk_job[id]<EARLIER(hk_job[id])&&hk_job[status]="F"),hk_job[id])return sumx(FILTER(hk_job,hk_job[id]>_LAST&&hk_job[id]<=EARLIER(hk_job[id])),hk_job[process_time])i have highlighted the difference between my DAX and yours.pls update your DAX
5 Replies
ryan_mayuSuper User
Anonymous
you can try to create a column
Column = VAR _LAST=maxx(FILTER('Table','Table'[id]<EARLIER('Table'[id])&&'Table'[status]="F"),'Table'[id]) return sumx(FILTER('Table','Table'[id]>_LAST&&'Table'[id]<=EARLIER('Table'[id])),'Table'[process_time_in_minutes])- ryan_mayu
Anonymous
pls try this
Column =VAR _LAST=MAXX(FILTER(hk_job,hk_job[id]<EARLIER(hk_job[id])&&hk_job[status]="F"),hk_job[id])return sumx(FILTER(hk_job,hk_job[id]>_LAST&&hk_job[id]<=EARLIER(hk_job[id])),hk_job[process_time])i have highlighted the difference between my DAX and yours.pls update your DAX