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Hi all, I need some help in coming up with a way to visualize changes / new additions to a dataset.
Currently, the data contains information from different months and the intention is to create the visual with data sustainability in mind whereby i can simply add in additional rows of data for future months and simply refresh the data on PowerBI.
Here is a sample dataset:
Identifier | Month | Account No | Code |
1 | Jan | 1000 | AA |
2 | Jan | 3000 | BB |
1 | Feb | 1000 | AB |
2 | Feb | 3001 | BB |
3 | Feb | 4000 | CC |
2 | Mar | 3001 | BB |
3 | Mar | 4000 | CC |
Identifier: unique identifer code for each entity
Month: Month of entry for data
Account No: account number of entity that may change across months
Code: code number of entity that may change across months
The idea is to create visual that allows me to
- identify changes to the identifier list (#3 was added in Feb and #1 was removed in Mar)
- identify changes in Account No / Code (#2 had a change in account No for Feb and #1 had a change in code for Mar)
I was thinking of creating two pages in Power BI:
- the first page being a general overview showing a high level overview of the number of changes over months
- the second page being a detailed overview where i can easily filter and see which entities had changes across which months and who are the new additions to the data
Any tips / tutorials / guidance is much appreciated. Thank you!
Hi @Anonymous ,
Please try the following methods and check if they can solve your problem:
For the first page
1.Try to create a column that flag changes.
2.Create a line chart with the X-axis representing months and the Y-axis showing the count of Identifier, the changes as legend.
For the second page
1.Create the calculated columns to identify changes in Account or code for each identifier.
2.Use a matrix visual with identifier and month as rows and account, code as values.
3.Add slicers to select specific months and see entities had changes.
Best Regards,
Wisdom Wu
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