Dynamic Replace
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Hello,
So I have a dilemma, we have transaction data getting pulled into alteryx and there is a need to update a column within the workflow based off set criteria.
We have transactions that come in with gratuity assigned to them, so we have a few records for the same transaction but with differing amount, source_account, and tender_type columns. They share the same transaction_reference however. I need a way to turn the original output:
(filtered to only show relevant transaction)
Into this Desired Output:
This needs to be done dynamically without interfering with other transactions, especially those that have the same source_account of "Food".
What I am trying to do is replace the tender_type column for records with a source_account of "Food", and share the same transaction reference, with what is in the source_account for the actual total from the transaction (source_account prefixed with "HC ").
Solved! Go to Solution.
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Hi there,
It sounds like you're describing doing a join on transaction_reference = source_account after filtering the left table for source_amount = "Food" and the right table for left(source_amount,2)="HC".
Unfortunately, the first image (Original Output) is too small to make out. Would you mind reposting it, and I'll be happy to share a solution?
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Hey thanks for your response @LindonB! I actually just also included the screenshots as the original excel file attached to the post. But I'll provide them here as well:
(If they are too small, I apologize, I have an awfully scaled monitor, it is too big and this is a common occurrence)
Original:
Desired:
The data on that excel sheet is also only the specific transactions that need this, there are actually more than 8,000 records but I am just working with the 8 now to get this to work. And not all records with the source_account of "Food" are going to need this updated tender_type just the ones that have an Open Grat assigned to the transaction_reference.
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@CSmith16 if you want to update the tender_type field use multi-row tool
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Problem with that is what do I do with all the rest of the data? It will replace every null tender_type with what is the row above. I can include the actual dataset with all 8k transactions if needed, just not sure if I'd need to change stuff around for company privacy considering this is financial data.
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Excellent. Glad you were able to get it to work!
