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I have a labor cost table. One of the columns is job_id. In this column there are 5259 distinct values. And each job_id has multiple entries (rows) with data. I am trying to get the labor total per week per job id. Is there a way to group the identical job_id so that I can sum the total of each. I know I could use DAX filter and filter out each job_id individually. However since there are so many records is there an easier time saving way to do this?
hello you could try and use the allexcept(table,table[job_id])
I think I may have worded my question wrong. I do not want to get rid of the whole column. I want to some how be able to add up the transaction total for each job id per week. Each job_id has multiple entries.
Thanks!
ok can you please sample the data?
and i didnt quite understand your question do you mean you want to count the job id per week?
Here is a sample set: This one JOB_ID has muliple Transaction_Amount entries. I want to be able to sum all of the transaction_amounts for each Job_ID. There are about 5000 different JOB_ID. My end result is to calcualte the labor per week per job id.
Transaction_Date | JOB_ID | ETYPE | Transaction_Amount |
Thursday, August 02, 2012 | 16246 | LAB | 878.61 |
Thursday, August 09, 2012 | 16246 | LAB | 2912.62 |
Thursday, August 16, 2012 | 16246 | LAB | 6222.66 |
Thursday, August 23, 2012 | 16246 | LAB | 5111.06 |
Thursday, August 30, 2012 | 16246 | LAB | 3163.87 |
Thursday, September 06, 2012 | 16246 | LAB | 2085.32 |
Thursday, September 13, 2012 | 16246 | LAB | 1652.74 |
Thursday, September 20, 2012 | 16246 | LAB | 2092.15 |
Thursday, September 27, 2012 | 16246 | LAB | 2142.2 |
Thursday, October 04, 2012 | 16246 | LAB | 2313.74 |
Thursday, October 11, 2012 | 16246 | LAB | 1821.57 |
hello @mweber87 ,
please give this a try:
total = CALCULATE(SUM(powerbi[Transaction_Amount]),ALLEXCEPT(powerbi,powerbi[JOB_ID],powerbi[week]))
if this helps, kindly accept as solution
Yes that does work however there are 5,259 different job_id's that I need to total. And I was hoping there was a way I could group the job id's without having to write an expression for each job id.
The data set contains a job id, this job has a labor cost weekly until the job is finished (contruction work) There are 5,259 different jobs and each job has a labor cost assoicated with it each week. I need to figure out how much each job's labor cost is per week. Ultimately, I have to create a visual that shows the labor cost per week per job for the life of the job.
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