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Dear All,
I have built a report with Dataverse audit logs table, showing the apps in PP environments and Dataverse for Teams environments shared with external users (guests). The dataverse table (audit logs) shows me the number of times the external user launched the app, such as Power App Launch 252602b-df6p-4a25-a4d7-159a66666 - 2023-07-31T06:36:28., so the data are shown multiple times (rows) in the report.
Considering that all data in each column are dynamic, for instance I mean a new PP environment can be added in the report...
how can i aggregate the values in one line to make my report clearer?
thank you,
Solved! Go to Solution.
@Anonymous
can you provide a clear visual example of what you mean with dummy data, and what is the desired output you are looking for ?
best regards,
please below dummy data to understand better my question:
thank you in advance for your help
App Environment Display Name | App Display Name | App launched | External User UPN | App Type | App ID |
Environment A | app A | Power App Launch 22d3220m-222-4f16-a8b0-22222b22 - 2023-02-20T15:30:10 | peter.dupont@societe.com | Canvas | 22d3220m-222-4f16-a8b0-22222b22 |
Environment A | app A | Power App Launch 22d3220m-222-4f16-a8b0-22222b22 - 2023-02-20T15:30:10 | peter.dupont@societe.com | Canvas | 22d3220m-222-4f16-a8b0-22222b22 |
Environment A | app A | Power App Launch 22d3220m-222-4f16-a8b0-22222b22 - 2023-02-20T15:30:10 | peter.dupont@societe.com | Canvas | 22d3220m-222-4f16-a8b0-22222b22 |
Environment A | app A | Power App Launch 22d3220m-222-4f16-a8b0-22222b22 - 2023-02-20T15:30:10 | peter.dupont@societe.com | Canvas | 22d3220m-222-4f16-a8b0-22222b22 |
Environment A | app A | Power App Launch 22d3220m-222-4f16-a8b0-22222b22 - 2023-02-20T15:30:10 | peter.dupont@societe.com | Canvas | 22d3220m-222-4f16-a8b0-22222b22 |
@Anonymous
sorry for the late reply .
you mean like this ?
this is automatically generated by power bi visuals .
if this is not what you meant , maybe shareing the output you want to achieve could help better understand your problem .
If my response has successfully addressed your issue kindly consider marking it as the accepted solution! This will help others find it quickly. I would appreciate hitting that kudos button 👍🤠
@Anonymous
can you provide a clear visual example of what you mean with dummy data, and what is the desired output you are looking for ?
best regards,
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