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hmeegada
Frequent Visitor

Calculating difference between consecutive rows

Hi, I am new to Bi and having a hard time in calculating the difference between consecutive rows for a particular ID.

 

bi.png

 

I want to caculate the difference between consecutive volume for a particular "Unique ID". 

As the ID changes, the cumulative difference calculation should correspond to that particular "Unique ID"

 

Thnaks in advance.

1 ACCEPTED SOLUTION

Hi @hmeegada,

 

1. Add an index in the Query Editor. 

2. Add a calculated column with the formula below.

Column =
VAR currentIndex = [Index]
VAR currentVolume = [Volume.Volume]
VAR lastVolume =
    CALCULATE (
        MIN ( Table1[Volume.Volume] ),
        FILTER (
            ALLEXCEPT ( 'Table1', Table1[Unique ID] ),
            Table1[Index]
                = currentIndex - 1
        )
    )
RETURN
    IF ( ISBLANK ( lastVolume ), 0, currentVolume - lastVolume )

Calculating-difference-between-consecutive-rows

Best Regards,
Dale

Community Support Team _ Dale
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

5 REPLIES 5
v-jiascu-msft
Employee
Employee

Hi @hmeegada,

 

Could you please mark the proper answers as solutions?

 

Best Regards,

Dale

Community Support Team _ Dale
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
v-jiascu-msft
Employee
Employee

Hi @hmeegada,

 

What's the expected result? Since the "Unique" is unique, you can just calculate the number of "Unique".

[Unique]    count('table'[Unique])

 

 

Best Regards,
Dale

Community Support Team _ Dale
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
PattemManohar
Community Champion
Community Champion

@hmeegada Could you please post the sample data in copiable format and also provide the expected output which will be helpful.




Did I answer your question? Mark my post as a solution!

Proud to be a PBI Community Champion




Hi,  I have provided a sample data below for your reference and the last column is the expected result

 

The difference between consecutive rows should continue for a particular Unique ID and as soon as the Unique ID changes, the difference between consecutive rows should correspond to that particular Unique ID.

 

Site #ProductTank #Volume.Inventory DateVolume.VolumeUnique IDExpected Result
0711150DIESEL310/18/2018 4:54:00 AM11797071115030
0711150DIESEL310/18/2018 5:26:00 AM11797071115030
0711150DIESEL310/18/2018 5:41:00 AM11797071115030
0711150DIESEL310/18/2018 5:56:00 AM11797071115030
0711150DIESEL310/18/2018 6:11:00 AM11797071115030
0711150DIESEL310/18/2018 6:26:00 AM11797071115030
0711150DIESEL310/18/2018 6:41:00 AM11797071115030
0711150DIESEL310/18/2018 6:56:00 AM1178207111503-15
0711150DIESEL310/18/2018 7:11:00 AM11782071115030
0711150DIESEL310/18/2018 7:26:00 AM11782071115030
0711150DIESEL310/18/2018 7:41:00 AM11782071115030
0711150DIESEL310/18/2018 7:56:00 AM11782071115030
0711150DIESEL310/18/2018 8:11:00 AM11782071115030
0711150DIESEL310/18/2018 8:26:00 AM11782071115030
0711150DIESEL310/18/2018 8:41:00 AM11782071115030
0711150DIESEL310/18/2018 8:56:00 AM11782071115030
0711150DIESEL310/18/2018 9:11:00 AM11782071115030
0711150DIESEL310/18/2018 9:26:00 AM11782071115030
0711150DIESEL310/18/2018 9:41:00 AM1175907111503-23
0711150DIESEL310/18/2018 9:56:00 AM1169107111503-68
0711150DIESEL310/18/2018 10:11:00 AM11691071115030
0711150DIESEL310/18/2018 10:26:00 AM11691071115030
0711150DIESEL310/18/2018 10:41:00 AM1165407111503-37
0711150DIESEL310/18/2018 10:57:00 AM11654071115030
0711150DIESEL310/18/2018 11:11:00 AM11654071115030
0711150DIESEL310/18/2018 11:26:00 AM11654071115030
0711150DIESEL310/18/2018 11:41:00 AM11654071115030
0711150DIESEL310/18/2018 11:56:00 AM11654071115030
0711150DIESEL310/18/2018 12:11:00 PM11654071115030
0711150DIESEL310/18/2018 12:26:00 PM11654071115030
0711150DIESEL310/18/2018 12:41:00 PM1163107111503-23
0711150DIESEL310/18/2018 12:56:00 PM11631071115030
0711150REG110/18/2018 4:54:00 AM33130071115010
0711150REG110/18/2018 5:26:00 AM3308007111501-50
0711150REG110/18/2018 5:41:00 AM3304607111501-34
0711150REG110/18/2018 5:56:00 AM3301607111501-30
0711150REG110/18/2018 6:11:00 AM33016071115010
0711150REG110/18/2018 6:26:00 AM3299707111501-19
0711150REG110/18/2018 6:41:00 AM3295507111501-42
0711150REG110/18/2018 6:56:00 AM3292907111501-26
0711150REG110/18/2018 7:11:00 AM3286507111501-64
0711150REG110/18/2018 7:26:00 AM3285007111501-15
0711150REG110/18/2018 7:41:00 AM3276207111501-88
0711150REG110/18/2018 7:56:00 AM3274407111501-18
0711150REG110/18/2018 8:11:00 AM3253907111501-205
0711150REG110/18/2018 8:26:00 AM3222907111501-310
0711150REG110/18/2018 8:41:00 AM3216107111501-68
0711150REG110/18/2018 8:56:00 AM3198307111501-178
0711150REG110/18/2018 9:11:00 AM3188107111501-102
0711150REG110/18/2018 9:26:00 AM3160407111501-277
0711150REG110/18/2018 9:41:00 AM3157007111501-34
0711150REG110/18/2018 9:56:00 AM3150607111501-64
0711150REG110/18/2018 10:11:00 AM3144107111501-65
0711150REG110/18/2018 10:26:00 AM3140007111501-41
0711150REG110/18/2018 10:41:00 AM3125607111501-144
0711150REG110/18/2018 10:57:00 AM3119507111501-61
0711150REG110/18/2018 11:11:00 AM3116107111501-34
0711150REG110/18/2018 11:26:00 AM3107407111501-87
0711150REG110/18/2018 11:41:00 AM3087807111501-196
0711150REG110/18/2018 11:56:00 AM3084007111501-38
0711150REG110/18/2018 12:11:00 PM3068107111501-159
0711150REG110/18/2018 12:26:00 PM3063507111501-46
0711150REG110/18/2018 12:41:00 PM3052907111501-106
0711150REG110/18/2018 12:56:00 PM3040107111501-128
0711150PREM210/18/2018 4:54:00 AM13970071115020
0711150PREM210/18/2018 5:26:00 AM13970071115020
0711150PREM210/18/2018 5:41:00 AM13970071115020
0711150PREM210/18/2018 5:56:00 AM1395507111502-15
0711150PREM210/18/2018 6:11:00 AM13955071115020
0711150PREM210/18/2018 6:26:00 AM13955071115020
0711150PREM210/18/2018 6:41:00 AM13955071115020
0711150PREM210/18/2018 6:56:00 AM13955071115020
0711150PREM210/18/2018 7:11:00 AM13955071115020
0711150PREM210/18/2018 7:26:00 AM13955071115020
0711150PREM210/18/2018 7:41:00 AM13955071115020
0711150PREM210/18/2018 7:56:00 AM13955071115020
0711150PREM210/18/2018 8:11:00 AM13955071115020
0711150PREM210/18/2018 8:26:00 AM13955071115020
0711150PREM210/18/2018 8:41:00 AM1393207111502-23
0711150PREM210/18/2018 8:56:00 AM1387207111502-60
0711150PREM210/18/2018 9:11:00 AM13872071115020
0711150PREM210/18/2018 9:26:00 AM13872071115020
0711150PREM210/18/2018 9:41:00 AM13872071115020
0711150PREM210/18/2018 9:56:00 AM1383007111502-42
0711150PREM210/18/2018 10:11:00 AM13834071115024
0711150PREM210/18/2018 10:26:00 AM13834071115020
0711150PREM210/18/2018 10:41:00 AM13834071115020
0711150PREM210/18/2018 10:57:00 AM1381907111502-15
0711150PREM210/18/2018 11:11:00 AM1380707111502-12
0711150PREM210/18/2018 11:26:00 AM13807071115020
0711150PREM210/18/2018 11:41:00 AM1375007111502-57
0711150PREM210/18/2018 11:56:00 AM13750071115020
0711150PREM210/18/2018 12:11:00 PM1370907111502-41
0711150PREM210/18/2018 12:26:00 PM13709071115020
0711150PREM210/18/2018 12:41:00 PM13709071115020
0711150PREM210/18/2018 12:56:00 PM1364807111502-61
0711157PREMIUM210/18/2018 5:02:00 AM38849071115720
0711157PREMIUM210/18/2018 5:35:00 AM38849071115720
0711157PREMIUM210/18/2018 5:50:00 AM38853071115724
0711157PREMIUM210/18/2018 6:05:00 AM38853071115720
0711157PREMIUM210/18/2018 6:20:00 AM38853071115720
0711157PREMIUM210/18/2018 6:35:00 AM38853071115720
0711157PREMIUM210/18/2018 6:50:00 AM38853071115720
0711157PREMIUM210/18/2018 7:05:00 AM38853071115720
0711157PREMIUM210/18/2018 7:20:00 AM38853071115720
0711157PREMIUM210/18/2018 7:35:00 AM38853071115720
0711157PREMIUM210/18/2018 7:50:00 AM38853071115720
0711157PREMIUM210/18/2018 8:05:00 AM38853071115720
0711157PREMIUM210/18/2018 8:20:00 AM3880007111572-53
0711157PREMIUM210/18/2018 8:35:00 AM3878807111572-12
0711157PREMIUM210/18/2018 8:50:00 AM38788071115720
 PREMIUM210/18/2018 9:05:00 AM3872807111572-60
0711157PREMIUM210/18/2018 9:20:00 AM38728071115720
0711157PREMIUM210/18/2018 9:35:00 AM3872407111572-4
0711157PREMIUM210/18/2018 9:50:00 AM38724071115720
0711157PREMIUM210/18/2018 10:05:00 AM38724071115720
0711157PREMIUM210/18/2018 10:20:00 AM38724071115720
0711157PREMIUM210/18/2018 10:35:00 AM3870507111572-19
0711157PREMIUM210/18/2018 10:50:00 AM38705071115720
0711157PREMIUM210/18/2018 11:05:00 AM38705071115720
0711157PREMIUM210/18/2018 11:20:00 AM38705071115720
0711157PREMIUM210/18/2018 11:35:00 AM38705071115720
0711157PREMIUM210/18/2018 11:50:00 AM38705071115720
0711157PREMIUM210/18/2018 12:05:00 PM38705071115720
0711157PREMIUM210/18/2018 12:20:00 PM3868207111572-23
0711157PREMIUM210/18/2018 12:35:00 PM38682071115720
0711157PREMIUM210/18/2018 12:50:00 PM3866307111572-19
0711157PREMIUM210/18/2018 1:05:00 PM3865207111572-11
0711157RUL110/18/2018 5:02:00 AM33739071115710
0711157RUL110/18/2018 5:35:00 AM3373507111571-4
0711157RUL110/18/2018 5:50:00 AM3368207111571-53
       

 

Thanks

Hi @hmeegada,

 

1. Add an index in the Query Editor. 

2. Add a calculated column with the formula below.

Column =
VAR currentIndex = [Index]
VAR currentVolume = [Volume.Volume]
VAR lastVolume =
    CALCULATE (
        MIN ( Table1[Volume.Volume] ),
        FILTER (
            ALLEXCEPT ( 'Table1', Table1[Unique ID] ),
            Table1[Index]
                = currentIndex - 1
        )
    )
RETURN
    IF ( ISBLANK ( lastVolume ), 0, currentVolume - lastVolume )

Calculating-difference-between-consecutive-rows

Best Regards,
Dale

Community Support Team _ Dale
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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