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Hello,
I have two set of data with different granularity level:
Set 1: This set is available for data from May until 13 September
Date Number of submitted scoping
15 may 2018 73
16 may 2018 88
17 may 2018 120
... ...
Set 2: This set is available for data as from 14 September
For each date, I have the details of the submitted scoping (meaning for 15 may 2018, I have 73 different lines, for 16 may, I have 88 lines, ... ).
Date Entity Scoping Status
15 may 2018 Entity A Started
15 may 2018 Entity B Submitted
15 may 2018 Entity C Submitted
15 may 2018 Entity D Submitted
15 may 2018 Entity E Rejeted
I calculate the number of submitted scoping based on this detail by using a measure:
CALCULATE(DISTINCTCOUNT('Report'[Entity]),'Report'[Scoping Status]="Submitted").
Based on data set 2, I build a graph for showing the increase of the number of submitted scoping.
However the graph discloses evolution as from 14 september only.
I would like to add the history by taking into account the data set 1.
How can I "merge" the 2 data sets to have one single graph showing the increase of the number of submitted scoping from May to Today ?
For info, I have to keep the details of data set 2 for drilldowns purposes.
Thanks a lot !
Solved! Go to Solution.
@Anonymous Try to summarize the second dataset into the same format as first and then UNION the dataset1 with the newly created dataset (derived from dataset2) then you will have a single dataset with one structure.
Proud to be a PBI Community Champion
@Anonymous Try to summarize the second dataset into the same format as first and then UNION the dataset1 with the newly created dataset (derived from dataset2) then you will have a single dataset with one structure.
Proud to be a PBI Community Champion
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