Hi I have a data set please find attached sample set. Where in I have used a macro to extract the data from Row 0 or row 3 (analyzing which will help). I want to use the currency for example USD and create a column currency for respective sections. Thanks for the help
| Currency | USD | | | | | | |
| Sales Report | Weeks | | | |
| 1 | 2 | 3 | 4 |
| Week 1 | Sales | 1 | 12 | 10 | 10 | 23 |
| | Books | 2 | 10 | 23 | 23 | 44 |
| | Tools | 3 | 23 | 44 | 44 | 53 |
| | Others | 4 | 44 | 53 | 53 | 16 |
| Week 2 | Sales | 5 | 10 | 23 | 10 | 12 |
| | Books | 6 | 23 | 44 | 23 | 10 |
| | Tools | 7 | 44 | 53 | 44 | 23 |
| | Others | 8 | 53 | 16 | 53 | 44 |
| | | | | | | | |
| Currency | INR | | | | | | |
| Sales Report | Weeks | | | |
| 1 | 2 | 3 | 4 |
| Week 1 | Sales | 1 | 23 | 10 | 10 | 23 |
| | Books | 2 | 44 | 23 | 23 | 44 |
| | Tools | 3 | 53 | 44 | 44 | 53 |
| | Others | 4 | 16 | 53 | 53 | 16 |
| Week 2 | Sales | 5 | 12 | 23 | 10 | 12 |
| | Books | 6 | 10 | 44 | 23 | 10 |
| | Tools | 7 | 23 | 53 | 44 | 23 |
| | Others | 8 | 44 | 16 | 53 | 44 |
| Week 3 | Sales | 9 | 12 | 23 | 10 | 12 |
| | Books | 10 | 10 | 44 | 23 | 10 |
| | Tools | 11 | 23 | 53 | 44 | 23 |
| | Others | 12 | 44 | 16 | 53 | 44 |
| | | | | | | | |
| Currency | YEN | | | | | | |
| Sales Report | Weeks | | | |
| 1 | 2 | 3 | 4 |
| Week 1 | Sales | 1 | 23 | 10 | 10 | 23 |
| | Books | 2 | 44 | 23 | 23 | 44 |
| | Tools | 3 | 53 | 44 | 44 | 53 |
| | Others | 4 | 16 | 53 | 53 | 16 |
| Week 2 | Sales | 5 | 12 | 23 | 10 | 12 |
| | Books | 6 | 10 | 44 | 23 | 10 |
| | Tools | 7 | 23 | 53 | 44 | 23 |
| | Others | 8 | 44 | 16 | 53 | 44 |
| Week 3 | Sales | 9 | 12 | 23 | 10 | 12 |
| | Books | 10 | 10 | 44 | 23 | 10 |
| | Tools | 11 | 23 | 53 | 44 | 23 |
| | Others | 12 | 44 | 16 | 53 | 44 |
| Week 4 | Sales | 13 | 12 | 23 | 10 | 12 |
| | Books | 14 | 10 | 44 | 23 | 10 |
| | Tools | 15 | 23 | 53 | 44 | 23 |
| | Others | 16 | 44 | 16 | 53 | 44 |
| Output | | | | | |
| | | | | | |
| Sales | 1 | 2 | 3 | 4 | Currency |
| 1 | 12 | 10 | 10 | 23 | USD |
| 2 | 10 | 23 | 23 | 44 | USD |
| 3 | 23 | 44 | 44 | 53 | USD |
| 4 | 44 | 53 | 53 | 16 | USD |
| 5 | 10 | 23 | 10 | 12 | USD |
| 6 | 23 | 44 | 23 | 10 | USD |
| 7 | 44 | 53 | 44 | 23 | USD |
| 8 | 53 | 16 | 53 | 44 | USD |
| 1 | 23 | 10 | 10 | 23 | INR |
| 2 | 44 | 23 | 23 | 44 | INR |
| 3 | 53 | 44 | 44 | 53 | INR |
| 4 | 16 | 53 | 53 | 16 | INR |
| 5 | 12 | 23 | 10 | 12 | INR |
| 6 | 10 | 44 | 23 | 10 | INR |
| 7 | 23 | 53 | 44 | 23 | INR |
| 8 | 44 | 16 | 53 | 44 | INR |
| 9 | 12 | 23 | 10 | 12 | INR |
| 10 | 10 | 44 | 23 | 10 | INR |
| 11 | 23 | 53 | 44 | 23 | INR |
| 12 | 44 | 16 | 53 | 44 | INR |
| 1 | 23 | 10 | 10 | 23 | YEN |
| 2 | 44 | 23 | 23 | 44 | YEN |
| 3 | 53 | 44 | 44 | 53 | YEN |
| 4 | 16 | 53 | 53 | 16 | YEN |
| 5 | 12 | 23 | 10 | 12 | YEN |
| 6 | 10 | 44 | 23 | 10 | YEN |
| 7 | 23 | 53 | 44 | 23 | YEN |
| 8 | 44 | 16 | 53 | 44 | YEN |
| 9 | 12 | 23 | 10 | 12 | YEN |
| 10 | 10 | 44 | 23 | 10 | YEN |
| 11 | 23 | 53 | 44 | 23 | YEN |
| 12 | 44 | 16 | 53 | 44 | YEN |
| 13 | 12 | 23 | 10 | 12 | YEN |
| 14 | 10 | 44 | 23 | 10 | YEN |
| 15 | 23 | 53 | 44 | 23 | YEN |
| 16 | 44 | 16 | 53 | 44 | YEN |