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Frequent Visitor

## Rolling Average on Sprints for total story points covered per sprint

Hi,

I have a table and it contains folowing columns

 Issue Key Product Sprint Name Story Points sprintEnddate Issue Type

I want to calculated the rolling average of total story points completed per sprint for a period of 3 consecutive sprints and sprints are supposed to be arranged in ascending order by their enddate.

Sample table

 Issue Key Product Sprint Name Story Points sprintEnddate Issue Type DOW-102 DOW DOW1 0 2/8/2023 sub task DOW-103 DOW DOW1 5 2/8/2023 task DOW-101 DOW DOW2 3 2/15/2023 defect DOW-105 DOW DOW2 5 2/15/2023 task DOW-106 DOW DOW2 2 2/15/2023 subtask DOW-1009 DOW DOW3 8 2/22/2023 defect DOW-3102 DOW DOW3 13 2/22/2023 epic DOW-1012 DOW DOW2 0 2/15/2023 epic MNB-3042 MNB MNB12-19 0 2/8/2023 sub task MNB-3104 MNB MNB12-19 5 3/8/2023 task MNB-2304 MNB MNB19-25 3 3/15/2023 defect MNB-34 MNB MNB19-25 5 3/15/2023 task MNB-30 MNB MNB19-25 2 3/15/2023 subtask MNB-4 MNB MNB19-25 8 3/22/2023 defect MNB-3564 MNB MNB25-2 13 3/29/2023 epic MNB-324 MNB MNB25-2 0 3/29/2023 epic MNB-3224 MNB MNB25-2 0 3/29/2023 sub task AQ-2 AQ AQ1 5 4/15/2023 task AQ-1283 AQ AQ1 3 4/15/2023 defect AQ-3494 AQ AQ1 5 4/15/2023 task AQ-31256 AQ AQ1 2 4/15/2023 subtask AQ-3212 AQ AQ101 8 4/25/2023 defect AQ-320 AQ AQ101 13 4/25/2023 epic AQ-326 AQ AQ101 0 4/25/2023 epic AQ-322 AQ AQ2 3 5/5/2023 epic AQ-1132 AQ AQ2 5 5/5/2023 epic

1 ACCEPTED SOLUTION
Community Support

Here are the steps you can follow：

1. In Power Query -- add Column – Index Column – From 1.

2. Create calculated column.

``````Rank =
RANKX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=EARLIER('Sample table'[Sprint Name])),[sprintEnddate],,DESC,Dense)``````
``````Index_2 =
RANKX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=EARLIER('Sample table'[Sprint Name])&&
'Sample table'[sprintEnddate]=
MINX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=EARLIER('Sample table'[Sprint Name])),[sprintEnddate])),[Index],,ASC)``````

3. Create measure.

``````True =
SUMX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=MAX('Sample table'[Sprint Name])&&
'Sample table'[Rank]<=4),'Sample table'[Story Points])
``````
``````True  2 =
var _index=
FILTER(
ALL('Sample table'),
[Index_2]=1)
var _table=
ADDCOLUMNS(
_index,"measure",[True])
var _table1=
ADDCOLUMNS(
_table,"result",
AVERAGEX(
FILTER(
_table,
[sprintEnddate]<=EARLIER([sprintEnddate])),[measure]))
return
SUMX(
FILTER(
_table1,
[sprintEnddate]=MAX('Sample table'[sprintEnddate])&&[Sprint Name]=MAX('Sample table'[Sprint Name])),[result])``````
``````Flag =
IF(
[True  2]=BLANK(),0,1)``````

4. Place [Flag]in Filters, set is=1, apply filter.

5. Result:

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

5 REPLIES 5
Community Support

Here are the steps you can follow：

1. In Power Query -- add Column – Index Column – From 1.

2. Create calculated column.

``````Rank =
RANKX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=EARLIER('Sample table'[Sprint Name])),[sprintEnddate],,DESC,Dense)``````
``````Index_2 =
RANKX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=EARLIER('Sample table'[Sprint Name])&&
'Sample table'[sprintEnddate]=
MINX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=EARLIER('Sample table'[Sprint Name])),[sprintEnddate])),[Index],,ASC)``````

3. Create measure.

``````True =
SUMX(
FILTER(ALL('Sample table'),
'Sample table'[Sprint Name]=MAX('Sample table'[Sprint Name])&&
'Sample table'[Rank]<=4),'Sample table'[Story Points])
``````
``````True  2 =
var _index=
FILTER(
ALL('Sample table'),
[Index_2]=1)
var _table=
ADDCOLUMNS(
_index,"measure",[True])
var _table1=
ADDCOLUMNS(
_table,"result",
AVERAGEX(
FILTER(
_table,
[sprintEnddate]<=EARLIER([sprintEnddate])),[measure]))
return
SUMX(
FILTER(
_table1,
[sprintEnddate]=MAX('Sample table'[sprintEnddate])&&[Sprint Name]=MAX('Sample table'[Sprint Name])),[result])``````
``````Flag =
IF(
[True  2]=BLANK(),0,1)``````

4. Place [Flag]in Filters, set is=1, apply filter.

5. Result:

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

Super User

What would be the expected outcome based on the sample data you provided?

Frequent Visitor

Hi @lbendlin ,

I was looking to plot a line and stacked column chart where on x-axis sprints are arranged in descending order of their completion date and on y-axis we have sum of story points completed during those sprints and a line representing rolling average over the period of 4 sprints(it can be variable).

I am trying to create a measure for that.

Super User
``where on x-axis sprints are arranged in descending order of their completion date ``

I think you mean ascending order?

``a line representing rolling average over the period of 4 sprints(it can be variable).``

I am still unclear what you mean by that. Please elaborate.

see attached for the first part. Note that it requires to add the sort column in Power Query as it would result in a circular dependency if it were done in Power BI.

Frequent Visitor

yes, in ascending order(typo),

rolling( moving ) average i.e., sum of story points completed in previous 4 sprints / no. of sprints(4) period could be variable(may increase or decrease),

``Note that it requires to add the sort column in Power Query as it would result in a circular dependency if it were done in Power BI.``

do you mean sorted by sprint?

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