topic Number of Rows based on multiple columns values in DAX Commands and Tips

Number of Rows based on multiple columns values

fzn4hs — Fri, 24 Sep 2021 01:56:33 GMT

Im relatively new in PowerBi and Im looking for some advice on how to solve a problem with my data

I have a table where represent the cycle time to each machine. I need to know the machine who has the highest cycle for a specific product so I can show only this value as my constrain in the process flow

My table is like this

Product	Side	Process	Mach	CT
Module A	Top	SMT	Ln1	10
Module A	Bottom	SMT	Ln2	12
Module A		SL	WSM1	15
Module A		FA	FA1	20
Module B	Top	SMT	Ln1	5
Module B		SL	WSM1	9
Module B		FA	FA1	12

For Module A, the Constrain is SMT because there are two machines that need to process the product (top side and then Bottom side), therefore, the Total Cycle for the process is 22

For Module B, FA is the constrain since SMT only have one machine

My approach was to count the number of machines based on the product and the process to assure that I have the Total cycle Time and then evaluate the max cycle based on the product, process and this Total cycle,....But Im really lost with DAX functions

Any idea?

Re: Number of Rows based on multiple columns values

Greg_Deckler — Fri, 24 Sep 2021 02:11:13 GMT

fzn4hs Maybe:

Measure = // Assumes you have [Product] column in your visual VAR __Table = SUMMARIZE('Table',[Process],"__TotalCT",SUM('Table'[CT]) VAR __Max = MAXX(__Table,[__TotalCT]) RETURN MAXX(FILTER(__Table,[__TotalCT]=__Max),[Process])

It's basically Lookup Min/Max. Lookup Min/Max - Microsoft Power BI Community

Re: Number of Rows based on multiple columns values

fzn4hs — Mon, 27 Sep 2021 17:34:02 GMT

Thank you Greg_Deckler

Maybe Im doing something wrong...This is what I did

My Columns:

[Product] [SIDE] [PROCESS] [MACH] [CT]

According with the proposal

Measure =
// I assume that __Table, __TotalCT and__Max are the variables name

// I believe that 'Table' is the name of the table where this data resides. For me this table's name is CAP_TABLE

VAR __Table = SUMMARIZE('CAP_TABLE',[Process],"__TotalCT ",SUM('CAP_TABLE'[CT])
VAR __Max = MAXX(__Table ,[__TotalCT ])
RETURN
MAXX(FILTER(__Table ,[__TotalCT ]=__Max ),[Process])

This is my logic (maybe wrong)

__TotalCT should be the MAX of [CT] for each [PROCESS] where [Product] is the same and [MACH] is different

For Module A, the product has two sides, each run in different machines (SIDE 1 in Ln1 = 10 sec and SIDE 2 in Ln2=12). Since [MACH] are different the PROCESS output is 12 sec ( the machines can run at the same time, so the output will be based on the highest CT)

Once I have the Process CT, I need to compare with the rest of the PROCESS CT and the highest will be the constrain (in this case is FA=20)

I hope that this make sense to you

Thank you for your help!

Re: Number of Rows based on multiple columns values

Greg_Deckler — Mon, 27 Sep 2021 21:43:13 GMT

fzn4hs I think I messed up and put the wrong column in for the summarize:

Measure = // Assumes you have [Product] column in your visual VAR __Table = SUMMARIZE('Table',[Mach],"__TotalCT",SUM('Table'[CT]) VAR __Max = MAXX(__Table,[__TotalCT]) RETURN MAXX(FILTER(__Table,[__TotalCT]=__Max),[Process])

Should be a summarize by Mach, not Process.

Re: Number of Rows based on multiple columns values

fzn4hs — Wed, 29 Sep 2021 17:56:46 GMT

It does not recognize

[__TotalCT]

Is this another column that I need to calculate? Or should be calculated in the same measure?

Re: Number of Rows based on multiple columns values

fzn4hs — Mon, 04 Oct 2021 23:50:56 GMT

Greg_Deckler

Could you please help me to understand __TotalCT?

Than you!