Hello Experts,
I have a data in below format.
Controls | Treatments | Distance |
7162 | 1664 | 0.478594543 |
8112 | 1664 | 1.034442878 |
1580 | 1675 | 0.456339769 |
1807 | 1675 | 0.560453609 |
1964 | 1696 | 0.312367277 |
1863 | 1696 | 0.489136816 |
2014 | 1700 | 0.810401862 |
1630 | 1700 | 0.916179888 |
8162 | 1712 | 0.671440615 |
7434 | 1712 | 0.793269339 |
9081 | 2288 | 0.277931764 |
2568 | 2288 | 0.714133664 |
12219 | 2293 | 0.348582519 |
9524 | 2293 | 0.656037648 |
3102 | 2301 | 0.381248049 |
9238 | 2301 | 0.43464612 |
2409 | 2322 | 0.171431367 |
3235 | 2322 | 0.451250302 |
12536 | 2341 | 0.397959588 |
2383 | 2341 | 0.423791644 |
I have to convert the data in below format.
Treatment Store | Control Store 1 | Control Store 2 |
1664 | 7162 | 8112 |
1675 | 1580 | 1807 |
1696 | 1863 | 1964 |
1700 | 1630 | 2014 |
1712 | 7434 | 8162 |
2288 | 2568 | 9081 |
2293 | 12219 | 9524 |
2301 | 3102 | 9238 |
2322 | 2409 | 3235 |
2341 | 12536 | 2383 |
Could any of you please assist in transforming the data as mentioned above,
File is attached for ready reference.
Regards, Ravi
Solved! Go to Solution.
Hi @c_raviram ,
First thing you have to do is to create a field that will differentiate data between store 1 and 2. As data for stores 1&2 come in sequence, you can do that by first assigning a record ID in each row and then using the modulo function to group them in stores 1 & 2.
Then you can use a cross-tab tool to bring your data in the desired format
Let me know if you have any questions. Hope that helps.
Regards,
Angelos
Hey @c_raviram !
in your example you have the max of 2 control stores, but assuming you can have more than 2, I did the example below, parsing in many columns as you need.
Hope that help!
@c_raviram
I usually use Tile Tool for this situation.