Transpose sets of columns. Transposing 48 different columns essentially into 4 columns
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Hello Experts,
I have a dataset in below format. This data has monthly quantity and value ($) in different columns. Columns with date format as yyyy-mm-dd has quantity in it whereas columns with $ mmm-yy has value($) in it.
There are essentially 48 columns (2 years * 12 months * 2 measures (qty and value$))
Input:
Country | Cluster | 2021-01-01 | 2021-02-01 | 2021-03-01 | 2021-04-01 | 2021-05-01 | 2021-06-01 | 2021-07-01 | 2021-08-01 | 2021-09-01 | 2021-10-01 | 2021-11-01 | 2021-12-01 | $ Jan-21 | $ Feb-21 | $ Mar-21 | $ Apr-21 | $ May-21 | $ Jun-21 | $ Jul-21 | $ Aug-21 | $ Sep-21 | $ Oct-21 | $ Nov-21 | $ Dec-21 | 2022-01-22 | 2022-02-22 | 2022-03-22 | 2022-04-01 | 2022-05-01 | 2022-06-01 | 2022-07-01 | 2022-08-01 | 2022-09-01 | 2022-10-01 | 2022-11-01 | 2022-12-01 | $ Jan-22 | $ Feb-22 | $ Mar-22 | $ Apr-22 | $ May-22 | $ Jun-22 | $ Jul-22 | $ Aug-22 | $ Sep-22 | $ Oct-22 | $ Nov-22 | $ Dec-22 |
A | P | - | - | - | 0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
B | Q | - | - | - | 0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C | R | 20,634 | 5,490 | 10,206 | 11,622 | 12,600 | 14,640 | 9,931 | 16,003 | 16,637 | 13,300 | 13,642 | 9,918 | 174 | 47 | 87 | 99 | 107 | 125 | 91 | 147 | 153 | 122 | 126 | 91 | 20,977 | 15,457 | 22,081 | 16,098 | 18,455 | 19,995 | 16,561 | 17,002 | 20,127 | 15,457 | 17,899 | 20,703 | 180 | 132 | 189 | 138 | 158 | 171 | 142 | 146 | 172 | 132 | 153 | 177 |
A | P | 21,649 | 7,800 | 23,324 | 20,066 | 7,726 | 15,324 | 13,599 | 15,047 | 15,441 | 12,228 | 12,543 | 11,386 | 3,618 | 1,327 | 3,903 | 3,227 | 1,292 | 2,507 | 2,236 | 2,475 | 2,539 | 2,011 | 2,063 | 1,873 | 15,568 | 11,471 | 16,387 | 11,947 | 13,696 | 14,839 | 12,290 | 12,618 | 14,937 | 11,471 | 13,283 | 15,365 | 2,304 | 1,698 | 2,425 | 1,768 | 2,027 | 2,196 | 1,819 | 1,868 | 2,211 | 1,698 | 1,966 | 2,274 |
B | Q | 40,499 | 19,200 | 25,644 | 16,380 | 21,300 | 23,580 | 21,050 | 24,493 | 25,281 | 23,231 | 23,829 | 22,301 | 1,743 | 826 | 1,114 | 702 | 913 | 1,011 | 910 | 1,059 | 1,093 | 1,004 | 1,030 | 964 | 32,352 | 23,838 | 34,055 | 24,826 | 28,463 | 30,837 | 25,541 | 26,222 | 31,041 | 23,838 | 27,604 | 31,930 | 1,301 | 959 | 1,369 | 998 | 1,145 | 1,240 | 1,027 | 1,054 | 1,248 | 959 | 1,110 | 1,284 |
C | R | 13,972 | 5,460 | 8,856 | 7,668 | 6,618 | 7,608 | 7,504 | 7,735 | 7,591 | 6,245 | 6,406 | 5,631 | 2,351 | 950 | 1,478 | 1,239 | 1,144 | 1,253 | 1,234 | 1,272 | 1,248 | 1,027 | 1,054 | 926 | 7,523 | 5,543 | 7,919 | 5,773 | 6,618 | 7,171 | 5,939 | 6,097 | 7,218 | 5,543 | 6,419 | 7,425 | 1,114 | 820 | 1,172 | 854 | 980 | 1,061 | 879 | 902 | 1,068 | 820 | 950 | 1,099 |
A | P | 21,780 | 2,700 | 9,720 | 10,260 | 10,224 | 8,982 | 8,353 | 14,458 | 13,168 | 12,159 | 12,453 | 10,272 | 192 | 24 | 86 | 50 | 49 | 43 | 74 | 128 | 117 | 108 | 110 | 91 | 20,746 | 15,286 | 21,838 | 15,920 | 18,252 | 19,774 | 16,378 | 16,815 | 19,905 | 15,286 | 17,701 | 20,475 | 171 | 126 | 180 | 131 | 150 | 163 | 135 | 138 | 164 | 126 | 146 | 169 |
B | Q | 18,984 | 8,328 | 13,572 | 4,632 | 10,835 | 13,188 | 10,669 | 12,007 | 12,243 | 8,099 | 8,308 | 7,542 | 3,212 | 1,378 | 2,250 | 754 | 1,766 | 2,150 | 1,755 | 1,975 | 2,013 | 1,332 | 1,366 | 1,240 | 9,213 | 6,789 | 9,698 | 7,070 | 8,106 | 8,782 | 7,274 | 7,468 | 8,840 | 6,789 | 7,861 | 9,093 | 1,364 | 1,005 | 1,435 | 1,046 | 1,200 | 1,300 | 1,077 | 1,105 | 1,308 | 1,005 | 1,164 | 1,346 |
C | R | 19,849 | 10,340 | 12,461 | 9,230 | 10,200 | 11,712 | 8,554 | 13,068 | 13,489 | 12,395 | 12,714 | 11,899 | 854 | 445 | 536 | 396 | 437 | 502 | 370 | 565 | 583 | 536 | 550 | 515 | 16,973 | 12,507 | 17,866 | 13,025 | 14,933 | 16,178 | 13,400 | 13,757 | 16,285 | 12,507 | 14,482 | 16,751 | 683 | 503 | 718 | 524 | 600 | 651 | 539 | 553 | 655 | 503 | 582 | 674 |
A | P | 13,910 | 4,092 | 8,004 | 4,416 | 5,400 | 5,580 | 6,393 | 7,120 | 7,193 | 5,741 | 5,888 | 5,345 | 2,337 | 694 | 1,327 | 736 | 893 | 918 | 1,051 | 1,171 | 1,183 | 944 | 968 | 879 | 6,774 | 4,991 | 7,130 | 5,198 | 5,959 | 6,456 | 5,348 | 5,490 | 6,499 | 4,991 | 5,779 | 6,685 | 1,003 | 739 | 1,055 | 769 | 882 | 956 | 792 | 813 | 962 | 739 | 855 | 989 |
I want to transpose this 48 columns into four columns (Month, year, Qty and value$) as below:
Output:
Country | Cluster | Month | Year | Quantity | Value $ |
A | P | Jan | 2021 | ||
B | Q | Feb | 2021 | ||
C | R | Mar | 2021 | ||
A | P | Apr | 2021 | ||
B | Q | May | 2021 | ||
C | R | Jun | 2022 | ||
A | P | Jul | 2022 | ||
B | Q | Aug | 2022 | ||
C | R | Sep | 2022 | ||
A | P | Oct | 2022 |
I know I can use multiple transpose tool to achieve this, but want to know the best approach (using combination of transpose and developer tools) to achieve above exercise as sometimes, the transpose tool automatically deselects certain columns which were selected earlier.
Attached is the sample input and output files.
Regards, Ravi
Solved! Go to Solution.
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@c_raviramThere seems to be parts of this which aren't in your discussion above - ie multiple values for the same country/cluster for the same period... and what you want to do with zeros? I believe this handles most of what you want.
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Hi @c_raviram
This works. See below and attached.
Please 'Like' and 'Accept as Solution' if you agree.
