Hi,
I have a combined list of employee with date. The list is cumulative; At the end of month I have a 4 week cumulative total but the "Date" Field is being overwritten to the latest report date.
What I need is be able to overwrite the "date" field to reflect the accurate week of the employee's record for trending purpose. Is there a good solution using Alteryx? Thanks.
see below for example:
Ideal Output | ||||||
Employee ID | Movement Type | Date | Employee ID | Movement Type | Date | |
Bob | Hire | 1/4/2019 | Bob | Hire | 1/4/2019 | |
Sara | Loss | 1/4/2019 | Sara | Loss | 1/4/2019 | |
Frank | Hire | 1/4/2019 | Frank | Hire | 1/4/2019 | |
Bob | Hire | 1/11/2019 | Kevin | Hire | 1/11/2019 | |
Sara | Loss | 1/11/2019 | Dave | Loss | 1/11/2019 | |
Frank | Hire | 1/11/2019 | Amy | Loss | 1/11/2019 | |
Kevin | Hire | 1/11/2019 | Casey | Loss | 1/18/2019 | |
Dave | Loss | 1/11/2019 | Louis | Loss | 1/18/2019 | |
Amy | Loss | 1/11/2019 | Carl | Loss | 1/18/2019 | |
Bob | Hire | 1/18/2019 | Robert | Hire | 1/25/2019 | |
Sara | Loss | 1/18/2019 | Will | Hire | 1/25/2019 | |
Frank | Hire | 1/18/2019 | Denise | Hire | 1/25/2019 | |
Kevin | Hire | 1/18/2019 | ||||
Dave | Loss | 1/18/2019 | ||||
Amy | Loss | 1/18/2019 | ||||
Casey | Loss | 1/18/2019 | ||||
Louis | Loss | 1/18/2019 | ||||
Carl | Loss | 1/18/2019 | ||||
Bob | Hire | 1/25/2019 | ||||
Sara | Loss | 1/25/2019 | ||||
Frank | Hire | 1/25/2019 | ||||
Kevin | Hire | 1/25/2019 | ||||
Dave | Loss | 1/25/2019 | ||||
Amy | Loss | 1/25/2019 | ||||
Casey | Loss | 1/25/2019 | ||||
Louis | Loss | 1/25/2019 | ||||
Carl | Loss | 1/25/2019 | ||||
Robert | Hire | 1/25/2019 | ||||
Will | Hire | 1/25/2019 | ||||
Denise | Hire | 1/25/2019 |
Solved! Go to Solution.
Hey @BosKev
I think this is doing what you'd like.
A summarize tool grouping on the first 2 and the first on field 3.
let me know if I'm off 🙂
Thanks,
Jordan
Hi @BosKev I mocked up this workflow which I think answers your question. Let me know what you think?
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