Cumulative Sum using DAX

[Anonymous]

Hi All,

I have my data as below.

ID	OUTPUT_TYPE	FORECASTED_MONTH	FORECAST_QTY	Cumm. FORECAST_QTY
1	NOMINAL	3	26	26
1	NOMINAL	6	27	54
1	NOMINAL	9	28	82
1	NOMINAL	12	29	111
1	NOMINAL	18	60	172
1	NOMINAL	24	62	234
1	NOMINAL	36	127	360
1	NOMINAL	48	128	488
1	NOMINAL	60	127	615
1	UPPER_BOUND	3	32	26
1	UPPER_BOUND	6	34	66
1	UPPER_BOUND	9	36	102
1	UPPER_BOUND	12	37	139
1	UPPER_BOUND	18	78	217
1	UPPER_BOUND	24	82	299
1	UPPER_BOUND	36	170	469
1	UPPER_BOUND	48	172	641
1	UPPER_BOUND	60	169	810
1	LOWER_BOUND	3	22	26
1	LOWER_BOUND	6	22	44
1	LOWER_BOUND	9	23	67
1	LOWER_BOUND	12	23	90
1	LOWER_BOUND	18	46	136
1	LOWER_BOUND	24	46	182
1	LOWER_BOUND	36	92	274
1	LOWER_BOUND	48	91	365
1	LOWER_BOUND	60	89	454

Where last column Comm. ForeCast_Qty is Cumulative sum of Forecast Qty. I want to generate Comm. Forecast_Qty using DAX expression. But it is not coming as expected.

I have used below formula

Cummulative Qty New =

CALCULATE(

SUM('Forecasting'[FORECAST_QTY]),

FILTER(

ALLEXCEPT('Forecasting','Forecasting'[ID],'Forecasting'[OUTPUT_TYPE]),

MAX('Forecasting'[FORECAST_MONTH]) >= 'Forecasting'[FORECAST_MONTH]

)

)

But the output is not coming as expected and I am getting below output.

ID	FORECAST_MONTH	OUTPUT_TYPE	FORECAST_QTY	Cumm. FORECAST_QTY
1	3	UPPER_BOUND	32	1932.113659
1	6	UPPER_BOUND	34	3987.743786
1	9	UPPER_BOUND	36	6153.976373
1	12	UPPER_BOUND	37	8417.15069
1	18	UPPER_BOUND	78	13180.17074
1	24	UPPER_BOUND	82	18176.57163
1	36	UPPER_BOUND	170	28551.03983
1	48	UPPER_BOUND	172	39048.55704
1	60	UPPER_BOUND	169	49351.2418
1	3	NOMINAL	26	1603.994892
1	6	NOMINAL	27	3279.197087
1	9	NOMINAL	28	5012.524375
1	12	NOMINAL	29	6793.830674
1	18	NOMINAL	60	10468.45101
1	24	NOMINAL	62	14250.6209
1	36	NOMINAL	127	21989.71836
1	48	NOMINAL	128	29789.28012
1	60	NOMINAL	127	37507.12435
1	3	LOWER_BOUND	22	1328.185432
1	6	LOWER_BOUND	22	2688.436389
1	9	LOWER_BOUND	23	4067.609045
1	12	LOWER_BOUND	23	5458.004435
1	18	LOWER_BOUND	46	8256.060605
1	24	LOWER_BOUND	46	11062.8622
1	36	LOWER_BOUND	92	16664.66502
1	48	LOWER_BOUND	91	22206.62438
1	60	LOWER_BOUND	89	27649.1102

I am not understanding where is the mistake. Please help me to solve this.

Thanks,

Rajesh S Hegde

[Syndicate_Admin]

Hello good afternoon I am in a dilemma here the %TO Voluntary I get 9.05% the total but when I want to show in graph I get a lower value 8.1. what I must do so that when I make a graph I get the correct total % .

I put the image of the graph that does not match the total quantities.

Please support.

[Anonymous]

Hi  @Anonymous ,

Here are the steps you can follow：

1. Create calculcated column.

Cumm. FORECAST_QTY =
CALCULATE(SUM('Table'[FORECAST_QTY]),FILTER('Table','Table'[Index]<=EARLIER('Table'[Index])&&'Table'[OUTPUT_TYPE]=EARLIER('Table'[OUTPUT_TYPE])))

2. Result.

You can downloaded PBIX file from 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.

[ryan_mayu]

@Anonymous 

you DAX should work fine.please see the attachment.

[Anonymous]

Thank you @ryan_mayu , it is working as expected. I had additional columns and hence it was not coming. Now I have removed and it is working fine

[amitchandak · Accepted solution]

@Anonymous , Try like

Cummulative Qty New =
CALCULATE(
SUM('Forecasting'[FORECAST_QTY]),
FILTER(
allselected('Forecasting'),'Forecasting'[ID],'Forecasting'[OUTPUT_TYPE] max('Forecasting'[OUTPUT_TYPE]) &&
'Forecasting'[FORECAST_MONTH] <= MAX('Forecasting'[FORECAST_MONTH])
)
)

[Anonymous]

Thank you @amitchandak, it is working as expected. I had additional columns and hence it was not coming. Now I have removed and it is working fine

[Anonymous]

Hi @amitchandak , 

I have tried like below. But it is not working as expected.

Cummulative Qty New = CALCULATE(

SUM('Forecasting'[FORECAST_QTY]),

FILTER(

ALLSELECTED('Forecasting'),'Forecasting'[ID] = SELECTEDVALUE('Forecasting'[ID]) &&

'Forecasting'[OUTPUT_TYPE] = max('Forecasting'[OUTPUT_TYPE]) &&

'Forecasting'[FORECAST_MONTH] <= MAX('Forecasting'[FORECAST_MONTH])

)

)