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Zeremiel
Calcite | Level 5

Hi,

I have a dataset that looks like this

 

Id                            amount                               pay_type                            expire_date

001                             -7,3                                         1                                       17/01/2008

001                            -15,1                                      1                                              .

001                            -15,1                                    1                                          .

001                             15,1                                         2                                    03/05/2015

001                             15,1                                    2                                     09/11/2019

002                            -8,6                                        1                                            .

002                             8,6                                        2                                    08/12/2018

 

I need to put in the pay_type 1 missing expire_date values the value of an expire_date of a pay_type 2 with same id and absolute amount, also, pay_type 2 can only give her expire_date once so in the posted example the dates of the two first missing values should be 03/05/2015
and 09/11/2019, the third missing value of id 002 should be 08/12/2018.
Thanks in advance.

4 REPLIES 4
PaigeMiller
Diamond | Level 26

Show us the desired output in a table similar to the one you provided with the input data.

--
Paige Miller
Zeremiel
Calcite | Level 5
Sure, the expected result table should look like this: 


Id                            amount                               pay_type                            expire_date

001                             -7,3                                       1                                    17/01/2008

001                            -15,1                                      1                                    03/05/2015

001                            -15,1                                      1                                    09/11/2019       .

001                             15,1                                      2                                    03/05/2015

001                             15,1                                      2                                    09/11/2019

002                            -8,6                                        1                                    08/12/2018

002                             8,6                                        2                                    08/12/2018
Zeremiel
Calcite | Level 5

Sure, the expected result table should look like this: 

Id                            amount                               pay_type                            expire_date

001                             -7,3                                       1                                    17/01/2008

001                            -15,1                                      1                                    03/05/2015

001                            -15,1                                      1                                    09/11/2019       .

001                             15,1                                      2                                    03/05/2015

001                             15,1                                      2                                    09/11/2019

002                            -8,6                                        1                                    08/12/2018

002                             8,6                                        2                                    08/12/2018

Zeremiel
Calcite | Level 5

Apparently i can´t since its considered a form of spam, but must be something like: 

expire_date

 

17/01/2008   001

03/05/2015   001

09/11/2019    001   .

03/05/2015    001

09/11/2019     001

08/12/2018    002

08/12/2018    002

Every pay_type 2 has copied hew expire date only to one pay_type 1 with same absolute amount and same id.

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