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table
col1 | col2 | col3 | col4 | col5 | col6 | col7 | col8 | col9 |
2018-02-22 | A | B | C | D | 625.2 | E | K | 448 |
2018-02-22 | A | B | C | D | 625.2 | F | L | 5.35 |
2018-02-22 | A | B | C | D | 625.2 | G | M | 35.71 |
2018-02-22 | A | B | C | D | 625.2 | H | N | 87.39 |
2018-02-22 | A | B | C | D | 625.2 | I | O | 25.11 |
2018-02-22 | A | B | C | D | 625.2 | J | P | 33.93 |
2018-02-22 | A1 | B1 | C1 | D1 | 14849.5 | E1 | K1 | 13294.21 |
2018-02-22 | A1 | B1 | C1 | D1 | 14849.5 | F1 | L1 | 427.03 |
2018-02-22 | A1 | B1 | C1 | D1 | 14849.5 | G1 | M1 | 631.85 |
2018-02-22 | A1 | B1 | C1 | D1 | 14849.5 | H1 | N1 | 326.07 |
2018-02-22 | A1 | B1 | C1 | D1 | 14849.5 | I1 | O1 | 146.36 |
2018-02-22 | A1 | B1 | C1 | D1 | 14849.5 | J1 | P1 | 6.86 |
result should be :
col1 | col2 | col3 | col4 | col5 | col6 | col7 | col8 | col9 |
2018-02-22 | A | B | C | D | 625.2 | E | K | 448 |
2018-02-22 | F | L | 5.35 | |||||
2018-02-22 | G | M | 35.71 | |||||
2018-02-22 | H | N | 87.39 | |||||
2018-02-22 | I | O | 25.11 | |||||
2018-02-22 | J | P | 33.93 | |||||
2018-02-22 | A1 | B1 | C1 | D1 | 14849.5 | E1 | K1 | 13294.21 |
2018-02-22 | F1 | L1 | 427.03 | |||||
2018-02-22 | G1 | M1 | 631.85 | |||||
2018-02-22 | H1 | N1 | 326.07 | |||||
2018-02-22 | I1 | O1 | 146.36 | |||||
2018-02-22 | J1 | P1 | 6.86 |
the point is to merge col2 to col 6 where the values are the same , but leave the other columns as they are .
thx .
Hi @lcroitoru,
I don't think there is an easy way to merge the rows for those columns in that way currently.
Could you tell us why you need to merge them in that way, so that we may find an alternative solution for you?
Regards
Hi ,
I think this way is more user friendly .
You can think at col 2 as a product with col 3 to 5 as descriptions and col 6 some quantity of that product .
Col's 7 to 9 are results from that product .
thx .
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