Hello,
number | code | exp date | Right_number | Right_code | Right_expdate |
123456 | D25502 | 12/5/2019 | 123456 | D25502 | 12/5/2019 |
123456 | D25510 | 5/14/2022 | 123456 | D25502 | 12/5/2019 |
123456 | D25502 | 12/5/2019 | 123456 | D25510 | 5/14/2022 |
123456 | D25510 | 5/14/2022 | 123456 | D25510 | 5/14/2022 |
456789 | D13302 | 11/29/2019 | 456789 | D13302 | 11/29/2019 |
456789 | D13302 | 8/7/2020 | 456789 | D13302 | 11/29/2019 |
456789 | D13302 | 11/29/2019 | 456789 | D13302 | 8/7/2020 |
456789 | D13302 | 8/7/2020 | 456789 | D13302 | 8/7/2020 |
In above dataset when I match exp date != Right_expdate, Alteryx gives me this Which is correct as it is matching the data with in the same row
number | code | exp date | Right_number | Right_code | Right_expdate |
123456 | D25502 | 12/5/2019 | 123456 | D25510 | 5/14/2022 |
123456 | D25510 | 5/14/2022 | 123456 | D25502 | 12/5/2019 |
456789 | D13302 | 11/29/2019 | 456789 | D13302 | 8/7/2020 |
456789 | D13302 | 8/7/2020 | 456789 | D13302 | 11/29/2019 |
Whereas I wanted no exception when number, code, exp date matched with Right_number, Right_code and Right_expdate,
Hey @noopurjain,
What do you mean by 'no exception'? What is your desired final output?
Hello @IraWatt , In case of example I shared I shouldn't be having any row as right side (right_number, right_code, right_expdate) of data matches with left side.
@noopurjain would you be able to show the table you want?
@IraWatt I have added one more row in original data just to give you an idea of what I want. Check the attached file