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Hi,
Im trying to transform a table from :
ID | TimeStamp | Page |
76339 | 09/10/2018 15:34:44 | Costs |
76339 | 09/10/2018 15:34:57 | Leads |
76339 | 09/10/2018 15:40:35 | Customers |
76339 | 09/10/2018 15:44:28 | Costs |
76339 | 09/10/2018 15:44:34 | Leads |
76339 | 09/10/2018 15:45:15 | Customers |
To show the flow of pages accessed as :
ID | Page1 | Page2 | Page3 | Page4 | Page5 | Page6 |
76339 | Costs | Leads | Customers | Costs | Leads | Customers |
... and so on.
There may be far more page selections per ID but can would the code be able to dynamically create the required output regardless of the Pages?
Also, the table is ordered by ID and Timestamp when loaded.
many thanks and any help is greatly appreciated.
Phil
You could try to adapt a generic load approach for it whereby your page-values aren't unique in regard to the ID so that you may need to create an extra counter-field for it.
I don't know your requirement but I think I would rather use just an aggregation like:
concat(Page, ' ==> ', TimeStamp)
which will show the evolution within a single field respectively UI expression.
- Marcus
Thanks for your reply. I'm not sure I understand your solution.
I'm hoping to create a table from my main resident table with ID as the Key field in the format I've described. I will be able to use these Page fields as Dimensions that can be selected for further analysis.
Many thanks,
Phil